     1→"""
     2→Spec Creation Chat Session
     3→==========================
     4→
     5→Manages interactive spec creation conversation with Claude.
     6→Uses the create-spec.md skill to guide users through app spec creation.
     7→"""
     8→
     9→import json
    10→import logging
    11→import shutil
    12→import threading
    13→from datetime import datetime
    14→from pathlib import Path
    15→from typing import AsyncGenerator, Optional
    16→
    17→from claude_agent_sdk import ClaudeAgentOptions, ClaudeSDKClient
    18→
    19→from ..schemas import ImageAttachment
    20→
    21→logger = logging.getLogger(__name__)
    22→
    23→
    24→async def _make_multimodal_message(content_blocks: list[dict]) -> AsyncGenerator[dict, None]:
    25→    """
    26→    Create an async generator that yields a properly formatted multimodal message.
    27→
    28→    The Claude Agent SDK's query() method accepts either:
    29→    - A string (simple text)
    30→    - An AsyncIterable[dict] (for custom message formats)
    31→
    32→    This function wraps content blocks in the expected message format.
    33→    """
    34→    yield {
    35→        "type": "user",
    36→        "message": {"role": "user", "content": content_blocks},
    37→        "parent_tool_use_id": None,
    38→        "session_id": "default",
    39→    }
    40→
    41→# Root directory of the project
    42→ROOT_DIR = Path(__file__).parent.parent.parent
    43→
    44→
    45→class SpecChatSession:
    46→    """
    47→    Manages a spec creation conversation for one project.
    48→
    49→    Uses the create-spec skill to guide users through:
    50→    - Phase 1: Project Overview (name, description, audience)
    51→    - Phase 2: Involvement Level (Quick vs Detailed mode)
    52→    - Phase 3: Technology Preferences
    53→    - Phase 4: Features (main exploration phase)
    54→    - Phase 5: Technical Details (derived or discussed)
    55→    - Phase 6-7: Success Criteria & Approval
    56→    """
    57→
    58→    def __init__(self, project_name: str, project_dir: Path):
    59→        """
    60→        Initialize the session.
    61→
    62→        Args:
    63→            project_name: Name of the project being created
    64→            project_dir: Absolute path to the project directory
    65→        """
    66→        self.project_name = project_name
    67→        self.project_dir = project_dir
    68→        self.client: Optional[ClaudeSDKClient] = None
    69→        self.messages: list[dict] = []
    70→        self.complete: bool = False
    71→        self.created_at = datetime.now()
    72→        self._conversation_id: Optional[str] = None
    73→        self._client_entered: bool = False  # Track if context manager is active
    74→
    75→    async def close(self) -> None:
    76→        """Clean up resources and close the Claude client."""
    77→        if self.client and self._client_entered:
    78→            try:
    79→                await self.client.__aexit__(None, None, None)
    80→            except Exception as e:
    81→                logger.warning(f"Error closing Claude client: {e}")
    82→            finally:
    83→                self._client_entered = False
    84→                self.client = None
    85→
    86→    async def start(self) -> AsyncGenerator[dict, None]:
    87→        """
    88→        Initialize session and get initial greeting from Claude.
    89→
    90→        Yields message chunks as they stream in.
    91→        """
    92→        # Load the create-spec skill
    93→        skill_path = ROOT_DIR / ".claude" / "commands" / "create-spec.md"
    94→
    95→        if not skill_path.exists():
    96→            yield {
    97→                "type": "error",
    98→                "content": f"Spec creation skill not found at {skill_path}"
    99→            }
   100→            return
   101→
   102→        try:
   103→            skill_content = skill_path.read_text(encoding="utf-8")
   104→        except UnicodeDecodeError:
   105→            skill_content = skill_path.read_text(encoding="utf-8", errors="replace")
   106→
   107→        # Ensure project directory exists (like CLI does in start.py)
   108→        self.project_dir.mkdir(parents=True, exist_ok=True)
   109→
   110→        # Delete app_spec.txt so Claude can create it fresh
   111→        # The SDK requires reading existing files before writing, but app_spec.txt is created new
   112→        # Note: We keep initializer_prompt.md so Claude can read and update the template
   113→        prompts_dir = self.project_dir / "prompts"
   114→        app_spec_path = prompts_dir / "app_spec.txt"
   115→        if app_spec_path.exists():
   116→            app_spec_path.unlink()
   117→            logger.info("Deleted scaffolded app_spec.txt for fresh spec creation")
   118→
   119→        # Create security settings file (like client.py does)
   120→        # This grants permissions for file operations in the project directory
   121→        security_settings = {
   122→            "sandbox": {"enabled": False},  # Disable sandbox for spec creation
   123→            "permissions": {
   124→                "defaultMode": "acceptEdits",
   125→                "allow": [
   126→                    "Read(./**)",
   127→                    "Write(./**)",
   128→                    "Edit(./**)",
   129→                    "Glob(./**)",
   130→                ],
   131→            },
   132→        }
   133→        settings_file = self.project_dir / ".claude_settings.json"
   134→        with open(settings_file, "w") as f:
   135→            json.dump(security_settings, f, indent=2)
   136→
   137→        # Replace $ARGUMENTS with absolute project path (like CLI does in start.py:184)
   138→        # Using absolute path avoids confusion when project folder name differs from app name
   139→        project_path = str(self.project_dir.resolve())
   140→        system_prompt = skill_content.replace("$ARGUMENTS", project_path)
   141→
   142→        # Create Claude SDK client with limited tools for spec creation
   143→        # Use Opus for best quality spec generation
   144→        # Use system CLI to avoid bundled Bun runtime crash (exit code 3) on Windows
   145→        system_cli = shutil.which("claude")
   146→        try:
   147→            self.client = ClaudeSDKClient(
   148→                options=ClaudeAgentOptions(
   149→                    model="claude-opus-4-5-20251101",
   150→                    cli_path=system_cli,
   151→                    system_prompt=system_prompt,
   152→                    allowed_tools=[
   153→                        "Read",
   154→                        "Write",
   155→                        "Edit",
   156→                        "Glob",
   157→                    ],
   158→                    permission_mode="acceptEdits",  # Auto-approve file writes for spec creation
   159→                    max_turns=100,
   160→                    cwd=str(self.project_dir.resolve()),
   161→                    settings=str(settings_file.resolve()),
   162→                )
   163→            )
   164→            # Enter the async context and track it
   165→            await self.client.__aenter__()
   166→            self._client_entered = True
   167→        except Exception as e:
   168→            logger.exception("Failed to create Claude client")
   169→            yield {
   170→                "type": "error",
   171→                "content": f"Failed to initialize Claude: {str(e)}"
   172→            }
   173→            return
   174→
   175→        # Start the conversation - Claude will send the Phase 1 greeting
   176→        try:
   177→            async for chunk in self._query_claude("Begin the spec creation process."):
   178→                yield chunk
   179→            # Signal that the response is complete (for UI to hide loading indicator)
   180→            yield {"type": "response_done"}
   181→        except Exception as e:
   182→            logger.exception("Failed to start spec chat")
   183→            yield {
   184→                "type": "error",
   185→                "content": f"Failed to start conversation: {str(e)}"
   186→            }
   187→
   188→    async def send_message(
   189→        self,
   190→        user_message: str,
   191→        attachments: list[ImageAttachment] | None = None
   192→    ) -> AsyncGenerator[dict, None]:
   193→        """
   194→        Send user message and stream Claude's response.
   195→
   196→        Args:
   197→            user_message: The user's response
   198→            attachments: Optional list of image attachments
   199→
   200→        Yields:
   201→            Message chunks of various types:
   202→            - {"type": "text", "content": str}
   203→            - {"type": "question", "questions": list}
   204→            - {"type": "spec_complete", "path": str}
   205→            - {"type": "error", "content": str}
   206→        """
   207→        if not self.client:
   208→            yield {
   209→                "type": "error",
   210→                "content": "Session not initialized. Call start() first."
   211→            }
   212→            return
   213→
   214→        # Store the user message
   215→        self.messages.append({
   216→            "role": "user",
   217→            "content": user_message,
   218→            "has_attachments": bool(attachments),
   219→            "timestamp": datetime.now().isoformat()
   220→        })
   221→
   222→        try:
   223→            async for chunk in self._query_claude(user_message, attachments):
   224→                yield chunk
   225→            # Signal that the response is complete (for UI to hide loading indicator)
   226→            yield {"type": "response_done"}
   227→        except Exception as e:
   228→            logger.exception("Error during Claude query")
   229→            yield {
   230→                "type": "error",
   231→                "content": f"Error: {str(e)}"
   232→            }
   233→
   234→    async def _query_claude(
   235→        self,
   236→        message: str,
   237→        attachments: list[ImageAttachment] | None = None
   238→    ) -> AsyncGenerator[dict, None]:
   239→        """
   240→        Internal method to query Claude and stream responses.
   241→
   242→        Handles tool calls (Write) and text responses.
   243→        Supports multimodal content with image attachments.
   244→
   245→        IMPORTANT: Spec creation requires BOTH files to be written:
   246→        1. app_spec.txt - the main specification
   247→        2. initializer_prompt.md - tells the agent how many features to create
   248→
   249→        We only signal spec_complete when BOTH files are verified on disk.
   250→        """
   251→        if not self.client:
   252→            return
   253→
   254→        # Build the message content
   255→        if attachments and len(attachments) > 0:
   256→            # Multimodal message: build content blocks array
   257→            content_blocks = []
   258→
   259→            # Add text block if there's text
   260→            if message:
   261→                content_blocks.append({"type": "text", "text": message})
   262→
   263→            # Add image blocks
   264→            for att in attachments:
   265→                content_blocks.append({
   266→                    "type": "image",
   267→                    "source": {
   268→                        "type": "base64",
   269→                        "media_type": att.mimeType,
   270→                        "data": att.base64Data,
   271→                    }
   272→                })
   273→
   274→            # Send multimodal content to Claude using async generator format
   275→            # The SDK's query() accepts AsyncIterable[dict] for custom message formats
   276→            await self.client.query(_make_multimodal_message(content_blocks))
   277→            logger.info(f"Sent multimodal message with {len(attachments)} image(s)")
   278→        else:
   279→            # Text-only message: use string format
   280→            await self.client.query(message)
   281→
   282→        current_text = ""
   283→
   284→        # Track pending writes for BOTH required files
   285→        pending_writes = {
   286→            "app_spec": None,      # {"tool_id": ..., "path": ...}
   287→            "initializer": None,   # {"tool_id": ..., "path": ...}
   288→        }
   289→
   290→        # Track which files have been successfully written
   291→        files_written = {
   292→            "app_spec": False,
   293→            "initializer": False,
   294→        }
   295→
   296→        # Store paths for the completion message
   297→        spec_path = None
   298→
   299→        # Stream the response using receive_response
   300→        async for msg in self.client.receive_response():
   301→            msg_type = type(msg).__name__
   302→
   303→            if msg_type == "AssistantMessage" and hasattr(msg, "content"):
   304→                # Process content blocks in the assistant message
   305→                for block in msg.content:
   306→                    block_type = type(block).__name__
   307→
   308→                    if block_type == "TextBlock" and hasattr(block, "text"):
   309→                        # Accumulate text and yield it
   310→                        text = block.text
   311→                        if text:
   312→                            current_text += text
   313→                            yield {"type": "text", "content": text}
   314→
   315→                            # Store in message history
   316→                            self.messages.append({
   317→                                "role": "assistant",
   318→                                "content": text,
   319→                                "timestamp": datetime.now().isoformat()
   320→                            })
   321→
   322→                    elif block_type == "ToolUseBlock" and hasattr(block, "name"):
   323→                        tool_name = block.name
   324→                        tool_input = getattr(block, "input", {})
   325→                        tool_id = getattr(block, "id", "")
   326→
   327→                        if tool_name in ("Write", "Edit"):
   328→                            # File being written or edited - track for verification
   329→                            file_path = tool_input.get("file_path", "")
   330→
   331→                            # Track app_spec.txt
   332→                            if "app_spec.txt" in str(file_path):
   333→                                pending_writes["app_spec"] = {
   334→                                    "tool_id": tool_id,
   335→                                    "path": file_path
   336→                                }
   337→                                logger.info(f"{tool_name} tool called for app_spec.txt: {file_path}")
   338→
   339→                            # Track initializer_prompt.md
   340→                            elif "initializer_prompt.md" in str(file_path):
   341→                                pending_writes["initializer"] = {
   342→                                    "tool_id": tool_id,
   343→                                    "path": file_path
   344→                                }
   345→                                logger.info(f"{tool_name} tool called for initializer_prompt.md: {file_path}")
   346→
   347→            elif msg_type == "UserMessage" and hasattr(msg, "content"):
   348→                # Tool results - check for write confirmations and errors
   349→                for block in msg.content:
   350→                    block_type = type(block).__name__
   351→                    if block_type == "ToolResultBlock":
   352→                        is_error = getattr(block, "is_error", False)
   353→                        tool_use_id = getattr(block, "tool_use_id", "")
   354→
   355→                        if is_error:
   356→                            content = getattr(block, "content", "Unknown error")
   357→                            logger.warning(f"Tool error: {content}")
   358→                            # Clear any pending writes that failed
   359→                            for key in pending_writes:
   360→                                if pending_writes[key] and tool_use_id == pending_writes[key].get("tool_id"):
   361→                                    logger.error(f"{key} write failed: {content}")
   362→                                    pending_writes[key] = None
   363→                        else:
   364→                            # Tool succeeded - check which file was written
   365→
   366→                            # Check app_spec.txt
   367→                            if pending_writes["app_spec"] and tool_use_id == pending_writes["app_spec"].get("tool_id"):
   368→                                file_path = pending_writes["app_spec"]["path"]
   369→                                full_path = Path(file_path) if Path(file_path).is_absolute() else self.project_dir / file_path
   370→                                if full_path.exists():
   371→                                    logger.info(f"app_spec.txt verified at: {full_path}")
   372→                                    files_written["app_spec"] = True
   373→                                    spec_path = file_path
   374→
   375→                                    # Notify about file write (but NOT completion yet)
   376→                                    yield {
   377→                                        "type": "file_written",
   378→                                        "path": str(file_path)
   379→                                    }
   380→                                else:
   381→                                    logger.error(f"app_spec.txt not found after write: {full_path}")
   382→                                pending_writes["app_spec"] = None
   383→
   384→                            # Check initializer_prompt.md
   385→                            if pending_writes["initializer"] and tool_use_id == pending_writes["initializer"].get("tool_id"):
   386→                                file_path = pending_writes["initializer"]["path"]
   387→                                full_path = Path(file_path) if Path(file_path).is_absolute() else self.project_dir / file_path
   388→                                if full_path.exists():
   389→                                    logger.info(f"initializer_prompt.md verified at: {full_path}")
   390→                                    files_written["initializer"] = True
   391→
   392→                                    # Notify about file write
   393→                                    yield {
   394→                                        "type": "file_written",
   395→                                        "path": str(file_path)
   396→                                    }
   397→                                else:
   398→                                    logger.error(f"initializer_prompt.md not found after write: {full_path}")
   399→                                pending_writes["initializer"] = None
   400→
   401→                            # Check if BOTH files are now written - only then signal completion
   402→                            if files_written["app_spec"] and files_written["initializer"]:
   403→                                logger.info("Both app_spec.txt and initializer_prompt.md verified - signaling completion")
   404→                                self.complete = True
   405→                                yield {
   406→                                    "type": "spec_complete",
   407→                                    "path": str(spec_path)
   408→                                }
   409→
   410→    def is_complete(self) -> bool:
   411→        """Check if spec creation is complete."""
   412→        return self.complete
   413→
   414→    def get_messages(self) -> list[dict]:
   415→        """Get all messages in the conversation."""
   416→        return self.messages.copy()
   417→
   418→
   419→# Session registry with thread safety
   420→_sessions: dict[str, SpecChatSession] = {}
   421→_sessions_lock = threading.Lock()
   422→
   423→
   424→def get_session(project_name: str) -> Optional[SpecChatSession]:
   425→    """Get an existing session for a project."""
   426→    with _sessions_lock:
   427→        return _sessions.get(project_name)
   428→
   429→
   430→async def create_session(project_name: str, project_dir: Path) -> SpecChatSession:
   431→    """Create a new session for a project, closing any existing one.
   432→
   433→    Args:
   434→        project_name: Name of the project
   435→        project_dir: Absolute path to the project directory
   436→    """
   437→    old_session: Optional[SpecChatSession] = None
   438→
   439→    with _sessions_lock:
   440→        # Get existing session to close later (outside the lock)
   441→        old_session = _sessions.pop(project_name, None)
   442→        session = SpecChatSession(project_name, project_dir)
   443→        _sessions[project_name] = session
   444→
   445→    # Close old session outside the lock to avoid blocking
   446→    if old_session:
   447→        try:
   448→            await old_session.close()
   449→        except Exception as e:
   450→            logger.warning(f"Error closing old session for {project_name}: {e}")
   451→
   452→    return session
   453→
   454→
   455→async def remove_session(project_name: str) -> None:
   456→    """Remove and close a session."""
   457→    session: Optional[SpecChatSession] = None
   458→
   459→    with _sessions_lock:
   460→        session = _sessions.pop(project_name, None)
   461→
   462→    # Close session outside the lock
   463→    if session:
   464→        try:
   465→            await session.close()
   466→        except Exception as e:
   467→            logger.warning(f"Error closing session for {project_name}: {e}")
   468→
   469→
   470→def list_sessions() -> list[str]:
   471→    """List all active session project names."""
   472→    with _sessions_lock:
   473→        return list(_sessions.keys())
   474→
   475→
   476→async def cleanup_all_sessions() -> None:
   477→    """Close all active sessions. Called on server shutdown."""
   478→    sessions_to_close: list[SpecChatSession] = []
   479→
   480→    with _sessions_lock:
   481→        sessions_to_close = list(_sessions.values())
   482→        _sessions.clear()
   483→
   484→    for session in sessions_to_close:
   485→        try:
   486→            await session.close()
   487→        except Exception as e:
   488→            logger.warning(f"Error closing session {session.project_name}: {e}")
   489→

<system-reminder>
Whenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.
</system-reminder>

"""
Spec Creation Chat Session
==========================

Manages interactive spec creation conversation with Claude.
Uses the create-spec.md skill to guide users through app spec creation.
"""

import json
import logging
import shutil
import threading
from datetime import datetime
from pathlib import Path
from typing import AsyncGenerator, Optional

from claude_agent_sdk import ClaudeAgentOptions, ClaudeSDKClient

from ..schemas import ImageAttachment

logger = logging.getLogger(__name__)

async def _make_multimodal_message(content_blocks: list[dict]) -> AsyncGenerator[dict, None]:
    """
    Create an async generator that yields a properly formatted multimodal message.

    The Claude Agent SDK's query() method accepts either:
    - A string (simple text)
    - An AsyncIterable[dict] (for custom message formats)

    This function wraps content blocks in the expected message format.
    """
    yield {
        "type": "user",
        "message": {"role": "user", "content": content_blocks},
        "parent_tool_use_id": None,
        "session_id": "default",
    }

# Root directory of the project
ROOT_DIR = Path(__file__).parent.parent.parent

class SpecChatSession:
    """
    Manages a spec creation conversation for one project.

    Uses the create-spec skill to guide users through:
    - Phase 1: Project Overview (name, description, audience)
    - Phase 2: Involvement Level (Quick vs Detailed mode)
    - Phase 3: Technology Preferences
    - Phase 4: Features (main exploration phase)
    - Phase 5: Technical Details (derived or discussed)
    - Phase 6-7: Success Criteria & Approval
    """

    def __init__(self, project_name: str, project_dir: Path):
        """
        Initialize the session.

        Args:
            project_name: Name of the project being created
            project_dir: Absolute path to the project directory
        """
        self.project_name = project_name
        self.project_dir = project_dir
        self.client: Optional[ClaudeSDKClient] = None
        self.messages: list[dict] = []
        self.complete: bool = False
        self.created_at = datetime.now()
        self._conversation_id: Optional[str] = None
        self._client_entered: bool = False  # Track if context manager is active

    async def close(self) -> None:
        """Clean up resources and close the Claude client."""
        if self.client and self._client_entered:
            try:
                await self.client.__aexit__(None, None, None)
            except Exception as e:
                logger.warning(f"Error closing Claude client: {e}")
            finally:
                self._client_entered = False
                self.client = None

    async def start(self) -> AsyncGenerator[dict, None]:
        """
        Initialize session and get initial greeting from Claude.

        Yields message chunks as they stream in.
        """
        # Load the create-spec skill
        skill_path = ROOT_DIR / ".claude" / "commands" / "create-spec.md"

        if not skill_path.exists():
            yield {
                "type": "error",
                "content": f"Spec creation skill not found at {skill_path}"
            }
            return

        try:
            skill_content = skill_path.read_text(encoding="utf-8")
        except UnicodeDecodeError:
            skill_content = skill_path.read_text(encoding="utf-8", errors="replace")

        # Ensure project directory exists (like CLI does in start.py)
        self.project_dir.mkdir(parents=True, exist_ok=True)

        # Delete app_spec.txt so Claude can create it fresh
        # The SDK requires reading existing files before writing, but app_spec.txt is created new
        # Note: We keep initializer_prompt.md so Claude can read and update the template
        prompts_dir = self.project_dir / "prompts"
        app_spec_path = prompts_dir / "app_spec.txt"
        if app_spec_path.exists():
            app_spec_path.unlink()
            logger.info("Deleted scaffolded app_spec.txt for fresh spec creation")

        # Create security settings file (like client.py does)
        # This grants permissions for file operations in the project directory
        security_settings = {
            "sandbox": {"enabled": False},  # Disable sandbox for spec creation
            "permissions": {
                "defaultMode": "acceptEdits",
                "allow": [
                    "Read(./**)",
                    "Write(./**)",
                    "Edit(./**)",
                    "Glob(./**)",
                ],
            },
        }
        settings_file = self.project_dir / ".claude_settings.json"
        with open(settings_file, "w") as f:
            json.dump(security_settings, f, indent=2)

        # Replace $ARGUMENTS with absolute project path (like CLI does in start.py:184)
        # Using absolute path avoids confusion when project folder name differs from app name
        project_path = str(self.project_dir.resolve())
        system_prompt = skill_content.replace("$ARGUMENTS", project_path)

        # Create Claude SDK client with limited tools for spec creation
        # Use Opus for best quality spec generation
        # Use system CLI to avoid bundled Bun runtime crash (exit code 3) on Windows
        system_cli = shutil.which("claude")
        try:
            self.client = ClaudeSDKClient(
                options=ClaudeAgentOptions(
                    model="claude-opus-4-5-20251101",
                    cli_path=system_cli,
                    system_prompt=system_prompt,
                    allowed_tools=[
                        "Read",
                        "Write",
                        "Edit",
                        "Glob",
                    ],
                    permission_mode="acceptEdits",  # Auto-approve file writes for spec creation
                    max_turns=100,
                    cwd=str(self.project_dir.resolve()),
                    settings=str(settings_file.resolve()),
                )
            )
            # Enter the async context and track it
            await self.client.__aenter__()
            self._client_entered = True
        except Exception as e:
            logger.exception("Failed to create Claude client")
            yield {
                "type": "error",
                "content": f"Failed to initialize Claude: {str(e)}"
            }
            return

        # Start the conversation - Claude will send the Phase 1 greeting
        try:
            async for chunk in self._query_claude("Begin the spec creation process."):
                yield chunk
            # Signal that the response is complete (for UI to hide loading indicator)
            yield {"type": "response_done"}
        except Exception as e:
            logger.exception("Failed to start spec chat")
            yield {
                "type": "error",
                "content": f"Failed to start conversation: {str(e)}"
            }

    async def send_message(
        self,
        user_message: str,
        attachments: list[ImageAttachment] | None = None
    ) -> AsyncGenerator[dict, None]:
        """
        Send user message and stream Claude's response.

        Args:
            user_message: The user's response
            attachments: Optional list of image attachments

        Yields:
            Message chunks of various types:
            - {"type": "text", "content": str}
            - {"type": "question", "questions": list}
            - {"type": "spec_complete", "path": str}
            - {"type": "error", "content": str}
        """
        if not self.client:
            yield {
                "type": "error",
                "content": "Session not initialized. Call start() first."
            }
            return

        # Store the user message
        self.messages.append({
            "role": "user",
            "content": user_message,
            "has_attachments": bool(attachments),
            "timestamp": datetime.now().isoformat()
        })

        try:
            async for chunk in self._query_claude(user_message, attachments):
                yield chunk
            # Signal that the response is complete (for UI to hide loading indicator)
            yield {"type": "response_done"}
        except Exception as e:
            logger.exception("Error during Claude query")
            yield {
                "type": "error",
                "content": f"Error: {str(e)}"
            }

    async def _query_claude(
        self,
        message: str,
        attachments: list[ImageAttachment] | None = None
    ) -> AsyncGenerator[dict, None]:
        """
        Internal method to query Claude and stream responses.

        Handles tool calls (Write) and text responses.
        Supports multimodal content with image attachments.

        IMPORTANT: Spec creation requires BOTH files to be written:
        1. app_spec.txt - the main specification
        2. initializer_prompt.md - tells the agent how many features to create

        We only signal spec_complete when BOTH files are verified on disk.
        """
        if not self.client:
            return

        # Build the message content
        if attachments and len(attachments) > 0:
            # Multimodal message: build content blocks array
            content_blocks = []

            # Add text block if there's text
            if message:
                content_blocks.append({"type": "text", "text": message})

            # Add image blocks
            for att in attachments:
                content_blocks.append({
                    "type": "image",
                    "source": {
                        "type": "base64",
                        "media_type": att.mimeType,
                        "data": att.base64Data,
                    }
                })

            # Send multimodal content to Claude using async generator format
            # The SDK's query() accepts AsyncIterable[dict] for custom message formats
            await self.client.query(_make_multimodal_message(content_blocks))
            logger.info(f"Sent multimodal message with {len(attachments)} image(s)")
        else:
            # Text-only message: use string format
            await self.client.query(message)

        current_text = ""

        # Track pending writes for BOTH required files
        pending_writes = {
            "app_spec": None,      # {"tool_id": ..., "path": ...}
            "initializer": None,   # {"tool_id": ..., "path": ...}
        }

        # Track which files have been successfully written
        files_written = {
            "app_spec": False,
            "initializer": False,
        }

        # Store paths for the completion message
        spec_path = None

        # Stream the response using receive_response
        async for msg in self.client.receive_response():
            msg_type = type(msg).__name__

            if msg_type == "AssistantMessage" and hasattr(msg, "content"):
                # Process content blocks in the assistant message
                for block in msg.content:
                    block_type = type(block).__name__

                    if block_type == "TextBlock" and hasattr(block, "text"):
                        # Accumulate text and yield it
                        text = block.text
                        if text:
                            current_text += text
                            yield {"type": "text", "content": text}

                            # Store in message history
                            self.messages.append({
                                "role": "assistant",
                                "content": text,
                                "timestamp": datetime.now().isoformat()
                            })

                    elif block_type == "ToolUseBlock" and hasattr(block, "name"):
                        tool_name = block.name
                        tool_input = getattr(block, "input", {})
                        tool_id = getattr(block, "id", "")

                        if tool_name in ("Write", "Edit"):
                            # File being written or edited - track for verification
                            file_path = tool_input.get("file_path", "")

                            # Track app_spec.txt
                            if "app_spec.txt" in str(file_path):
                                pending_writes["app_spec"] = {
                                    "tool_id": tool_id,
                                    "path": file_path
                                }
                                logger.info(f"{tool_name} tool called for app_spec.txt: {file_path}")

                            # Track initializer_prompt.md
                            elif "initializer_prompt.md" in str(file_path):
                                pending_writes["initializer"] = {
                                    "tool_id": tool_id,
                                    "path": file_path
                                }
                                logger.info(f"{tool_name} tool called for initializer_prompt.md: {file_path}")

            elif msg_type == "UserMessage" and hasattr(msg, "content"):
                # Tool results - check for write confirmations and errors
                for block in msg.content:
                    block_type = type(block).__name__
                    if block_type == "ToolResultBlock":
                        is_error = getattr(block, "is_error", False)
                        tool_use_id = getattr(block, "tool_use_id", "")

                        if is_error:
                            content = getattr(block, "content", "Unknown error")
                            logger.warning(f"Tool error: {content}")
                            # Clear any pending writes that failed
                            for key in pending_writes:
                                if pending_writes[key] and tool_use_id == pending_writes[key].get("tool_id"):
                                    logger.error(f"{key} write failed: {content}")
                                    pending_writes[key] = None
                        else:
                            # Tool succeeded - check which file was written

                            # Check app_spec.txt
                            if pending_writes["app_spec"] and tool_use_id == pending_writes["app_spec"].get("tool_id"):
                                file_path = pending_writes["app_spec"]["path"]
                                full_path = Path(file_path) if Path(file_path).is_absolute() else self.project_dir / file_path
                                if full_path.exists():
                                    logger.info(f"app_spec.txt verified at: {full_path}")
                                    files_written["app_spec"] = True
                                    spec_path = file_path

                                    # Notify about file write (but NOT completion yet)
                                    yield {
                                        "type": "file_written",
                                        "path": str(file_path)
                                    }
                                else:
                                    logger.error(f"app_spec.txt not found after write: {full_path}")
                                pending_writes["app_spec"] = None

                            # Check initializer_prompt.md
                            if pending_writes["initializer"] and tool_use_id == pending_writes["initializer"].get("tool_id"):
                                file_path = pending_writes["initializer"]["path"]
                                full_path = Path(file_path) if Path(file_path).is_absolute() else self.project_dir / file_path
                                if full_path.exists():
                                    logger.info(f"initializer_prompt.md verified at: {full_path}")
                                    files_written["initializer"] = True

                                    # Notify about file write
                                    yield {
                                        "type": "file_written",
                                        "path": str(file_path)
                                    }
                                else:
                                    logger.error(f"initializer_prompt.md not found after write: {full_path}")
                                pending_writes["initializer"] = None

                            # Check if BOTH files are now written - only then signal completion
                            if files_written["app_spec"] and files_written["initializer"]:
                                logger.info("Both app_spec.txt and initializer_prompt.md verified - signaling completion")
                                self.complete = True
                                yield {
                                    "type": "spec_complete",
                                    "path": str(spec_path)
                                }

    def is_complete(self) -> bool:
        """Check if spec creation is complete."""
        return self.complete

    def get_messages(self) -> list[dict]:
        """Get all messages in the conversation."""
        return self.messages.copy()

# Session registry with thread safety
_sessions: dict[str, SpecChatSession] = {}
_sessions_lock = threading.Lock()

def get_session(project_name: str) -> Optional[SpecChatSession]:
    """Get an existing session for a project."""
    with _sessions_lock:
        return _sessions.get(project_name)

async def create_session(project_name: str, project_dir: Path) -> SpecChatSession:
    """Create a new session for a project, closing any existing one.

    Args:
        project_name: Name of the project
        project_dir: Absolute path to the project directory
    """
    old_session: Optional[SpecChatSession] = None

    with _sessions_lock:
        # Get existing session to close later (outside the lock)
        old_session = _sessions.pop(project_name, None)
        session = SpecChatSession(project_name, project_dir)
        _sessions[project_name] = session

    # Close old session outside the lock to avoid blocking
    if old_session:
        try:
            await old_session.close()
        except Exception as e:
            logger.warning(f"Error closing old session for {project_name}: {e}")

    return session

async def remove_session(project_name: str) -> None:
    """Remove and close a session."""
    session: Optional[SpecChatSession] = None

    with _sessions_lock:
        session = _sessions.pop(project_name, None)

    # Close session outside the lock
    if session:
        try:
            await session.close()
        except Exception as e:
            logger.warning(f"Error closing session for {project_name}: {e}")

def list_sessions() -> list[str]:
    """List all active session project names."""
    with _sessions_lock:
        return list(_sessions.keys())

async def cleanup_all_sessions() -> None:
    """Close all active sessions. Called on server shutdown."""
    sessions_to_close: list[SpecChatSession] = []

    with _sessions_lock:
        sessions_to_close = list(_sessions.values())
        _sessions.clear()

    for session in sessions_to_close:
        try:
            await session.close()
        except Exception as e:
            logger.warning(f"Error closing session {session.project_name}: {e}")


Now I have a great understanding of how spec creation works:

1. The SpecChatSession loads the `create-spec.md` skill from `.claude/commands/`
2. It creates a Claude client with `system_prompt` set to the skill content (with `$ARGUMENTS` replaced by project path)
3. It allows Read, Write, Edit, Glob tools
4. Claude guides the user through phases of spec creation
5. When both `app_spec.txt` and `initializer_prompt.md` are written, it signals completion

For the import feature, the key insight is that I need to:
1. Create an "import mode" that gives Claude context about the EXISTING codebase
2. Modify the system prompt (or add to it) to tell Claude about what's already there
3. Claude can then ask questions to understand the project and build an appropriate app_spec

Let me check the create-spec.md skill to understand what Claude is told:


     1→---
     2→description: Create an app spec for autonomous coding (project)
     3→---
     4→
     5→# PROJECT DIRECTORY
     6→
     7→This command **requires** the project directory as an argument via `$ARGUMENTS`.
     8→
     9→**Example:** `/create-spec generations/my-app`
    10→
    11→**Output location:** `$ARGUMENTS/prompts/app_spec.txt` and `$ARGUMENTS/prompts/initializer_prompt.md`
    12→
    13→If `$ARGUMENTS` is empty, inform the user they must provide a project path and exit.
    14→
    15→---
    16→
    17→# GOAL
    18→
    19→Help the user create a comprehensive project specification for a long-running autonomous coding process. This specification will be used by AI coding agents to build their application across multiple sessions.
    20→
    21→This tool works for projects of any size - from simple utilities to large-scale applications.
    22→
    23→---
    24→
    25→# YOUR ROLE
    26→
    27→You are the **Spec Creation Assistant** - an expert at translating project ideas into detailed technical specifications. Your job is to:
    28→
    29→1. Understand what the user wants to build (in their own words)
    30→2. Ask about features and functionality (things anyone can describe)
    31→3. **Derive** the technical details (database, API, architecture) from their requirements
    32→4. Generate the specification files that autonomous coding agents will use
    33→
    34→**IMPORTANT: Cater to all skill levels.** Many users are product owners or have functional knowledge but aren't technical. They know WHAT they want to build, not HOW to build it. You should:
    35→
    36→- Ask questions anyone can answer (features, user flows, what screens exist)
    37→- **Derive** technical details (database schema, API endpoints, architecture) yourself
    38→- Only ask technical questions if the user wants to be involved in those decisions
    39→
    40→**Use conversational questions** to gather information. For questions with clear options, present them as numbered choices that the user can select from. For open-ended exploration, use natural conversation.
    41→
    42→---
    43→
    44→# CONVERSATION FLOW
    45→
    46→There are two paths through this process:
    47→
    48→**Quick Path** (recommended for most users): You describe what you want, agent derives the technical details
    49→**Detailed Path**: You want input on technology choices, database design, API structure, etc.
    50→
    51→**CRITICAL: This is a CONVERSATION, not a form.**
    52→
    53→- Ask questions for ONE phase at a time
    54→- WAIT for the user to respond before moving to the next phase
    55→- Acknowledge their answers before continuing
    56→- Do NOT bundle multiple phases into one message
    57→
    58→---
    59→
    60→## Phase 1: Project Overview
    61→
    62→Start with simple questions anyone can answer:
    63→
    64→1. **Project Name**: What should this project be called?
    65→2. **Description**: In your own words, what are you building and what problem does it solve?
    66→3. **Target Audience**: Who will use this?
    67→
    68→**IMPORTANT: Ask these questions and WAIT for the user to respond before continuing.**
    69→Do NOT immediately jump to Phase 2. Let the user answer, acknowledge their responses, then proceed.
    70→
    71→---
    72→
    73→## Phase 2: Involvement Level
    74→
    75→Ask the user about their involvement preference:
    76→
    77→> "How involved do you want to be in technical decisions?
    78→>
    79→> 1. **Quick Mode (Recommended)** - You describe what you want, I'll handle database, API, and architecture
    80→> 2. **Detailed Mode** - You want input on technology choices and architecture decisions
    81→>
    82→> Which would you prefer?"
    83→
    84→**If Quick Mode**: Skip to Phase 3, then go to Phase 4 (Features). You will derive technical details yourself.
    85→**If Detailed Mode**: Go through all phases, asking technical questions.
    86→
    87→## Phase 3: Technology Preferences
    88→
    89→**For Quick Mode users**, also ask about tech preferences:
    90→
    91→> "Any technology preferences, or should I choose sensible defaults?
    92→>
    93→> 1. **Use defaults (Recommended)** - React, Node.js, SQLite - solid choices for most apps
    94→> 2. **I have preferences** - I'll specify my preferred languages/frameworks"
    95→
    96→**For Detailed Mode users**, ask specific tech questions about frontend, backend, database, etc.
    97→
    98→## Phase 4: Features (THE MAIN PHASE)
    99→
   100→This is where you spend most of your time. Ask questions in plain language that anyone can answer.
   101→
   102→**Start broad with open conversation:**
   103→
   104→> "Walk me through your app. What does a user see when they first open it? What can they do?"
   105→
   106→**Then ask about key feature areas:**
   107→
   108→> "Let me ask about a few common feature areas:
   109→>
   110→> 1. **User Accounts** - Do users need to log in / have accounts? (Yes with profiles, No anonymous use, or Maybe optional)
   111→> 2. **Mobile Support** - Should this work well on mobile phones? (Yes fully responsive, Desktop only, or Basic mobile)
   112→> 3. **Search** - Do users need to search or filter content? (Yes, No, or Basic only)
   113→> 4. **Sharing** - Any sharing or collaboration features? (Yes, No, or Maybe later)"
   114→
   115→**Then drill into the "Yes" answers with open conversation:**
   116→
   117→**4a. The Main Experience**
   118→
   119→- What's the main thing users do in your app?
   120→- Walk me through a typical user session
   121→
   122→**4b. User Accounts** (if they said Yes)
   123→
   124→- What can they do with their account?
   125→- Any roles or permissions?
   126→
   127→**4c. What Users Create/Manage**
   128→
   129→- What "things" do users create, save, or manage?
   130→- Can they edit or delete these things?
   131→- Can they organize them (folders, tags, categories)?
   132→
   133→**4d. Settings & Customization**
   134→
   135→- What should users be able to customize?
   136→- Light/dark mode? Other display preferences?
   137→
   138→**4e. Search & Finding Things** (if they said Yes)
   139→
   140→- What do they search for?
   141→- What filters would be helpful?
   142→
   143→**4f. Sharing & Collaboration** (if they said Yes)
   144→
   145→- What can be shared?
   146→- View-only or collaborative editing?
   147→
   148→**4g. Any Dashboards or Analytics?**
   149→
   150→- Does the user see any stats, reports, or metrics?
   151→
   152→**4h. Domain-Specific Features**
   153→
   154→- What else is unique to your app?
   155→- Any features we haven't covered?
   156→
   157→**4i. Security & Access Control (if app has authentication)**
   158→
   159→Ask about user roles:
   160→
   161→> "Who are the different types of users?
   162→>
   163→> 1. **Just regular users** - Everyone has the same permissions
   164→> 2. **Users + Admins** - Regular users and administrators with extra powers
   165→> 3. **Multiple roles** - Several distinct user types (e.g., viewer, editor, manager, admin)"
   166→
   167→**If multiple roles, explore in conversation:**
   168→
   169→- What can each role see?
   170→- What can each role do?
   171→- Are there pages only certain roles can access?
   172→- What happens if someone tries to access something they shouldn't?
   173→
   174→**Also ask about authentication:**
   175→
   176→- How do users log in? (email/password, social login, SSO)
   177→- Password requirements? (for security testing)
   178→- Session timeout? Auto-logout after inactivity?
   179→- Any sensitive operations requiring extra confirmation?
   180→
   181→**4j. Data Flow & Integration**
   182→
   183→- What data do users create vs what's system-generated?
   184→- Are there workflows that span multiple steps or pages?
   185→- What happens to related data when something is deleted?
   186→- Are there any external systems or APIs to integrate with?
   187→- Any import/export functionality?
   188→
   189→**4k. Error & Edge Cases**
   190→
   191→- What should happen if the network fails mid-action?
   192→- What about duplicate entries (e.g., same email twice)?
   193→- Very long text inputs?
   194→- Empty states (what shows when there's no data)?
   195→
   196→**Keep asking follow-up questions until you have a complete picture.** For each feature area, understand:
   197→
   198→- What the user sees
   199→- What actions they can take
   200→- What happens as a result
   201→- Who is allowed to do it (permissions)
   202→- What errors could occur
   203→
   204→## Phase 4L: Derive Feature Count (DO NOT ASK THE USER)
   205→
   206→After gathering all features, **you** (the agent) should tally up the testable features. Do NOT ask the user how many features they want - derive it from what was discussed.
   207→
   208→**Typical ranges for reference:**
   209→
   210→- **Simple apps** (todo list, calculator, notes): ~20-50 features
   211→- **Medium apps** (blog, task manager with auth): ~100 features
   212→- **Advanced apps** (e-commerce, CRM, full SaaS): ~150-200 features
   213→
   214→These are just reference points - your actual count should come from the requirements discussed.
   215→
   216→**How to count features:**
   217→For each feature area discussed, estimate the number of discrete, testable behaviors:
   218→
   219→- Each CRUD operation = 1 feature (create, read, update, delete)
   220→- Each UI interaction = 1 feature (click, drag, hover effect)
   221→- Each validation/error case = 1 feature
   222→- Each visual requirement = 1 feature (styling, animation, responsive behavior)
   223→
   224→**Present your estimate to the user:**
   225→
   226→> "Based on what we discussed, here's my feature breakdown:
   227→>
   228→> - [Category 1]: ~X features
   229→> - [Category 2]: ~Y features
   230→> - [Category 3]: ~Z features
   231→> - ...
   232→>
   233→> **Total: ~N features**
   234→>
   235→> Does this seem right, or should I adjust?"
   236→
   237→Let the user confirm or adjust. This becomes your `feature_count` for the spec.
   238→
   239→## Phase 5: Technical Details (DERIVED OR DISCUSSED)
   240→
   241→**For Quick Mode users:**
   242→Tell them: "Based on what you've described, I'll design the database, API, and architecture. Here's a quick summary of what I'm planning..."
   243→
   244→Then briefly outline:
   245→
   246→- Main data entities you'll create (in plain language: "I'll create tables for users, projects, documents, etc.")
   247→- Overall app structure ("sidebar navigation with main content area")
   248→- Any key technical decisions
   249→
   250→Ask: "Does this sound right? Any concerns?"
   251→
   252→**For Detailed Mode users:**
   253→Walk through each technical area:
   254→
   255→**5a. Database Design**
   256→
   257→- What entities/tables are needed?
   258→- Key fields for each?
   259→- Relationships?
   260→
   261→**5b. API Design**
   262→
   263→- What endpoints are needed?
   264→- How should they be organized?
   265→
   266→**5c. UI Layout**
   267→
   268→- Overall structure (columns, navigation)
   269→- Key screens/pages
   270→- Design preferences (colors, themes)
   271→
   272→**5d. Implementation Phases**
   273→
   274→- What order to build things?
   275→- Dependencies?
   276→
   277→## Phase 6: Success Criteria
   278→
   279→Ask in simple terms:
   280→
   281→> "What does 'done' look like for you? When would you consider this app complete and successful?"
   282→
   283→Prompt for:
   284→
   285→- Must-have functionality
   286→- Quality expectations (polished vs functional)
   287→- Any specific requirements
   288→
   289→## Phase 7: Review & Approval
   290→
   291→Present everything gathered:
   292→
   293→1. **Summary of the app** (in plain language)
   294→2. **Feature count**
   295→3. **Technology choices** (whether specified or derived)
   296→4. **Brief technical plan** (for their awareness)
   297→
   298→First ask in conversation if they want to make changes.
   299→
   300→**Then ask for final confirmation:**
   301→
   302→> "Ready to generate the specification files?
   303→>
   304→> 1. **Yes, generate files** - Create app_spec.txt and update prompt files
   305→> 2. **I have changes** - Let me add or modify something first"
   306→
   307→---
   308→
   309→# FILE GENERATION
   310→
   311→**Note: This section is for YOU (the agent) to execute. Do not burden the user with these technical details.**
   312→
   313→## Output Directory
   314→
   315→The output directory is: `$ARGUMENTS/prompts/`
   316→
   317→Once the user approves, generate these files:
   318→
   319→## 1. Generate `app_spec.txt`
   320→
   321→**Output path:** `$ARGUMENTS/prompts/app_spec.txt`
   322→
   323→Create a new file using this XML structure:
   324→
   325→```xml
   326→<project_specification>
   327→  <project_name>[Project Name]</project_name>
   328→
   329→  <overview>
   330→    [2-3 sentence description from Phase 1]
   331→  </overview>
   332→
   333→  <technology_stack>
   334→    <frontend>
   335→      <framework>[Framework]</framework>
   336→      <styling>[Styling solution]</styling>
   337→      [Additional frontend config]
   338→    </frontend>
   339→    <backend>
   340→      <runtime>[Runtime]</runtime>
   341→      <database>[Database]</database>
   342→      [Additional backend config]
   343→    </backend>
   344→    <communication>
   345→      <api>[API style]</api>
   346→      [Additional communication config]
   347→    </communication>
   348→  </technology_stack>
   349→
   350→  <prerequisites>
   351→    <environment_setup>
   352→      [Setup requirements]
   353→    </environment_setup>
   354→  </prerequisites>
   355→
   356→  <feature_count>[derived count from Phase 4L]</feature_count>
   357→
   358→  <security_and_access_control>
   359→    <user_roles>
   360→      <role name="[role_name]">
   361→        <permissions>
   362→          - [Can do X]
   363→          - [Can see Y]
   364→          - [Cannot access Z]
   365→        </permissions>
   366→        <protected_routes>
   367→          - /admin/* (admin only)
   368→          - /settings (authenticated users)
   369→        </protected_routes>
   370→      </role>
   371→      [Repeat for each role]
   372→    </user_roles>
   373→    <authentication>
   374→      <method>[email/password | social | SSO]</method>
   375→      <session_timeout>[duration or "none"]</session_timeout>
   376→      <password_requirements>[if applicable]</password_requirements>
   377→    </authentication>
   378→    <sensitive_operations>
   379→      - [Delete account requires password confirmation]
   380→      - [Financial actions require 2FA]
   381→    </sensitive_operations>
   382→  </security_and_access_control>
   383→
   384→  <core_features>
   385→    <[category_name]>
   386→      - [Feature 1]
   387→      - [Feature 2]
   388→      - [Feature 3]
   389→    </[category_name]>
   390→    [Repeat for all feature categories]
   391→  </core_features>
   392→
   393→  <database_schema>
   394→    <tables>
   395→      <[table_name]>
   396→        - [field1], [field2], [field3]
   397→        - [additional fields]
   398→      </[table_name]>
   399→      [Repeat for all tables]
   400→    </tables>
   401→  </database_schema>
   402→
   403→  <api_endpoints_summary>
   404→    <[category]>
   405→      - [VERB] /api/[path]
   406→      - [VERB] /api/[path]
   407→    </[category]>
   408→    [Repeat for all categories]
   409→  </api_endpoints_summary>
   410→
   411→  <ui_layout>
   412→    <main_structure>
   413→      [Layout description]
   414→    </main_structure>
   415→    [Additional UI sections as needed]
   416→  </ui_layout>
   417→
   418→  <design_system>
   419→    <color_palette>
   420→      [Colors]
   421→    </color_palette>
   422→    <typography>
   423→      [Font preferences]
   424→    </typography>
   425→  </design_system>
   426→
   427→  <implementation_steps>
   428→    <step number="1">
   429→      <title>[Phase Title]</title>
   430→      <tasks>
   431→        - [Task 1]
   432→        - [Task 2]
   433→      </tasks>
   434→    </step>
   435→    [Repeat for all phases]
   436→  </implementation_steps>
   437→
   438→  <success_criteria>
   439→    <functionality>
   440→      [Functionality criteria]
   441→    </functionality>
   442→    <user_experience>
   443→      [UX criteria]
   444→    </user_experience>
   445→    <technical_quality>
   446→      [Technical criteria]
   447→    </technical_quality>
   448→    <design_polish>
   449→      [Design criteria]
   450→    </design_polish>
   451→  </success_criteria>
   452→</project_specification>
   453→```
   454→
   455→## 2. Update `initializer_prompt.md`
   456→
   457→**Output path:** `$ARGUMENTS/prompts/initializer_prompt.md`
   458→
   459→If the output directory has an existing `initializer_prompt.md`, read it and update the feature count.
   460→If not, copy from `.claude/templates/initializer_prompt.template.md` first, then update.
   461→
   462→**CRITICAL: You MUST update the feature count placeholder:**
   463→
   464→1. Find the line containing `**[FEATURE_COUNT]**` in the "REQUIRED FEATURE COUNT" section
   465→2. Replace `[FEATURE_COUNT]` with the exact number agreed upon in Phase 4L (e.g., `25`)
   466→3. The result should read like: `You must create exactly **25** features using the...`
   467→
   468→**Example edit:**
   469→```
   470→Before: **CRITICAL:** You must create exactly **[FEATURE_COUNT]** features using the `feature_create_bulk` tool.
   471→After:  **CRITICAL:** You must create exactly **25** features using the `feature_create_bulk` tool.
   472→```
   473→
   474→**Verify the update:** After editing, read the file again to confirm the feature count appears correctly. If `[FEATURE_COUNT]` still appears in the file, the update failed and you must try again.
   475→
   476→**Note:** You may also update `coding_prompt.md` if the user requests changes to how the coding agent should work. Include it in the status file if modified.
   477→
   478→## 3. Write Status File (REQUIRED - Do This Last)
   479→
   480→**Output path:** `$ARGUMENTS/prompts/.spec_status.json`
   481→
   482→**CRITICAL:** After you have completed ALL requested file changes, write this status file to signal completion to the UI. This is required for the "Continue to Project" button to appear.
   483→
   484→Write this JSON file:
   485→
   486→```json
   487→{
   488→  "status": "complete",
   489→  "version": 1,
   490→  "timestamp": "[current ISO 8601 timestamp, e.g., 2025-01-15T14:30:00.000Z]",
   491→  "files_written": [
   492→    "prompts/app_spec.txt",
   493→    "prompts/initializer_prompt.md"
   494→  ],
   495→  "feature_count": [the feature count from Phase 4L]
   496→}
   497→```
   498→
   499→**Include ALL files you modified** in the `files_written` array. If the user asked you to also modify `coding_prompt.md`, include it:
   500→
   501→```json
   502→{
   503→  "status": "complete",
   504→  "version": 1,
   505→  "timestamp": "2025-01-15T14:30:00.000Z",
   506→  "files_written": [
   507→    "prompts/app_spec.txt",
   508→    "prompts/initializer_prompt.md",
   509→    "prompts/coding_prompt.md"
   510→  ],
   511→  "feature_count": 35
   512→}
   513→```
   514→
   515→**IMPORTANT:**
   516→- Write this file LAST, after all other files are successfully written
   517→- Only write it when you consider ALL requested work complete
   518→- The UI polls this file to detect completion and show the Continue button
   519→- If the user asks for additional changes after you've written this, you may update it again when the new changes are complete
   520→
   521→---
   522→
   523→# AFTER FILE GENERATION: NEXT STEPS
   524→
   525→Once files are generated, tell the user what to do next:
   526→
   527→> "Your specification files have been created in `$ARGUMENTS/prompts/`!
   528→>
   529→> **Files created:**
   530→> - `$ARGUMENTS/prompts/app_spec.txt`
   531→> - `$ARGUMENTS/prompts/initializer_prompt.md`
   532→>
   533→> The **Continue to Project** button should now appear. Click it to start the autonomous coding agent!
   534→>
   535→> **If you don't see the button:** Type `/exit` or click **Exit to Project** in the header.
   536→>
   537→> **Important timing expectations:**
   538→>
   539→> - **First session:** The agent generates features in the database. This takes several minutes.
   540→> - **Subsequent sessions:** Each coding iteration takes 5-15 minutes depending on complexity.
   541→> - **Full app:** Building all [X] features will take many hours across multiple sessions.
   542→>
   543→> **Controls:**
   544→>
   545→> - Press `Ctrl+C` to pause the agent at any time
   546→> - Run `start.bat` (Windows) or `./start.sh` (Mac/Linux) to resume where you left off"
   547→
   548→Replace `[X]` with their feature count.
   549→
   550→---
   551→
   552→# IMPORTANT REMINDERS
   553→
   554→- **Meet users where they are**: Not everyone is technical. Ask about what they want, not how to build it.
   555→- **Quick Mode is the default**: Most users should be able to describe their app and let you handle the technical details.
   556→- **Derive, don't interrogate**: For non-technical users, derive database schema, API endpoints, and architecture from their feature descriptions. Don't ask them to specify these.
   557→- **Use plain language**: Instead of "What entities need CRUD operations?", ask "What things can users create, edit, or delete?"
   558→- **Be thorough on features**: This is where to spend time. Keep asking follow-up questions until you have a complete picture.
   559→- **Derive feature count, don't guess**: After gathering requirements, tally up testable features yourself and present the estimate. Don't use fixed tiers or ask users to guess.
   560→- **Validate before generating**: Present a summary including your derived feature count and get explicit approval before creating files.
   561→
   562→---
   563→
   564→# BEGIN
   565→
   566→Start by greeting the user warmly. Ask ONLY the Phase 1 questions:
   567→
   568→> "Hi! I'm here to help you create a detailed specification for your app.
   569→>
   570→> Let's start with the basics:
   571→>
   572→> 1. What do you want to call this project?
   573→> 2. In your own words, what are you building?
   574→> 3. Who will use it - just you, or others too?"
   575→
   576→**STOP HERE and wait for their response.** Do not ask any other questions yet. Do not use AskUserQuestion yet. Just have a conversation about their project basics first.
   577→
   578→After they respond, acknowledge what they said, then move to Phase 2.
   579→

<system-reminder>
Whenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.
</system-reminder>

---
description: Create an app spec for autonomous coding (project)
---

# PROJECT DIRECTORY

This command **requires** the project directory as an argument via `$ARGUMENTS`.

**Example:** `/create-spec generations/my-app`

**Output location:** `$ARGUMENTS/prompts/app_spec.txt` and `$ARGUMENTS/prompts/initializer_prompt.md`

If `$ARGUMENTS` is empty, inform the user they must provide a project path and exit.

---

# GOAL

Help the user create a comprehensive project specification for a long-running autonomous coding process. This specification will be used by AI coding agents to build their application across multiple sessions.

This tool works for projects of any size - from simple utilities to large-scale applications.

---

# YOUR ROLE

You are the **Spec Creation Assistant** - an expert at translating project ideas into detailed technical specifications. Your job is to:

1. Understand what the user wants to build (in their own words)
2. Ask about features and functionality (things anyone can describe)
3. **Derive** the technical details (database, API, architecture) from their requirements
4. Generate the specification files that autonomous coding agents will use

**IMPORTANT: Cater to all skill levels.** Many users are product owners or have functional knowledge but aren't technical. They know WHAT they want to build, not HOW to build it. You should:

- Ask questions anyone can answer (features, user flows, what screens exist)
- **Derive** technical details (database schema, API endpoints, architecture) yourself
- Only ask technical questions if the user wants to be involved in those decisions

**Use conversational questions** to gather information. For questions with clear options, present them as numbered choices that the user can select from. For open-ended exploration, use natural conversation.

---

# CONVERSATION FLOW

There are two paths through this process:

**Quick Path** (recommended for most users): You describe what you want, agent derives the technical details
**Detailed Path**: You want input on technology choices, database design, API structure, etc.

**CRITICAL: This is a CONVERSATION, not a form.**

- Ask questions for ONE phase at a time
- WAIT for the user to respond before moving to the next phase
- Acknowledge their answers before continuing
- Do NOT bundle multiple phases into one message

---

## Phase 1: Project Overview

Start with simple questions anyone can answer:

1. **Project Name**: What should this project be called?
2. **Description**: In your own words, what are you building and what problem does it solve?
3. **Target Audience**: Who will use this?

**IMPORTANT: Ask these questions and WAIT for the user to respond before continuing.**
Do NOT immediately jump to Phase 2. Let the user answer, acknowledge their responses, then proceed.

---

## Phase 2: Involvement Level

Ask the user about their involvement preference:

> "How involved do you want to be in technical decisions?
>
> 1. **Quick Mode (Recommended)** - You describe what you want, I'll handle database, API, and architecture
> 2. **Detailed Mode** - You want input on technology choices and architecture decisions
>
> Which would you prefer?"

**If Quick Mode**: Skip to Phase 3, then go to Phase 4 (Features). You will derive technical details yourself.
**If Detailed Mode**: Go through all phases, asking technical questions.

## Phase 3: Technology Preferences

**For Quick Mode users**, also ask about tech preferences:

> "Any technology preferences, or should I choose sensible defaults?
>
> 1. **Use defaults (Recommended)** - React, Node.js, SQLite - solid choices for most apps
> 2. **I have preferences** - I'll specify my preferred languages/frameworks"

**For Detailed Mode users**, ask specific tech questions about frontend, backend, database, etc.

## Phase 4: Features (THE MAIN PHASE)

This is where you spend most of your time. Ask questions in plain language that anyone can answer.

**Start broad with open conversation:**

> "Walk me through your app. What does a user see when they first open it? What can they do?"

**Then ask about key feature areas:**

> "Let me ask about a few common feature areas:
>
> 1. **User Accounts** - Do users need to log in / have accounts? (Yes with profiles, No anonymous use, or Maybe optional)
> 2. **Mobile Support** - Should this work well on mobile phones? (Yes fully responsive, Desktop only, or Basic mobile)
> 3. **Search** - Do users need to search or filter content? (Yes, No, or Basic only)
> 4. **Sharing** - Any sharing or collaboration features? (Yes, No, or Maybe later)"

**Then drill into the "Yes" answers with open conversation:**

**4a. The Main Experience**

- What's the main thing users do in your app?
- Walk me through a typical user session

**4b. User Accounts** (if they said Yes)

- What can they do with their account?
- Any roles or permissions?

**4c. What Users Create/Manage**

- What "things" do users create, save, or manage?
- Can they edit or delete these things?
- Can they organize them (folders, tags, categories)?

**4d. Settings & Customization**

- What should users be able to customize?
- Light/dark mode? Other display preferences?

**4e. Search & Finding Things** (if they said Yes)

- What do they search for?
- What filters would be helpful?

**4f. Sharing & Collaboration** (if they said Yes)

- What can be shared?
- View-only or collaborative editing?

**4g. Any Dashboards or Analytics?**

- Does the user see any stats, reports, or metrics?

**4h. Domain-Specific Features**

- What else is unique to your app?
- Any features we haven't covered?

**4i. Security & Access Control (if app has authentication)**

Ask about user roles:

> "Who are the different types of users?
>
> 1. **Just regular users** - Everyone has the same permissions
> 2. **Users + Admins** - Regular users and administrators with extra powers
> 3. **Multiple roles** - Several distinct user types (e.g., viewer, editor, manager, admin)"

**If multiple roles, explore in conversation:**

- What can each role see?
- What can each role do?
- Are there pages only certain roles can access?
- What happens if someone tries to access something they shouldn't?

**Also ask about authentication:**

- How do users log in? (email/password, social login, SSO)
- Password requirements? (for security testing)
- Session timeout? Auto-logout after inactivity?
- Any sensitive operations requiring extra confirmation?

**4j. Data Flow & Integration**

- What data do users create vs what's system-generated?
- Are there workflows that span multiple steps or pages?
- What happens to related data when something is deleted?
- Are there any external systems or APIs to integrate with?
- Any import/export functionality?

**4k. Error & Edge Cases**

- What should happen if the network fails mid-action?
- What about duplicate entries (e.g., same email twice)?
- Very long text inputs?
- Empty states (what shows when there's no data)?

**Keep asking follow-up questions until you have a complete picture.** For each feature area, understand:

- What the user sees
- What actions they can take
- What happens as a result
- Who is allowed to do it (permissions)
- What errors could occur

## Phase 4L: Derive Feature Count (DO NOT ASK THE USER)

After gathering all features, **you** (the agent) should tally up the testable features. Do NOT ask the user how many features they want - derive it from what was discussed.

**Typical ranges for reference:**

- **Simple apps** (todo list, calculator, notes): ~20-50 features
- **Medium apps** (blog, task manager with auth): ~100 features
- **Advanced apps** (e-commerce, CRM, full SaaS): ~150-200 features

These are just reference points - your actual count should come from the requirements discussed.

**How to count features:**
For each feature area discussed, estimate the number of discrete, testable behaviors:

- Each CRUD operation = 1 feature (create, read, update, delete)
- Each UI interaction = 1 feature (click, drag, hover effect)
- Each validation/error case = 1 feature
- Each visual requirement = 1 feature (styling, animation, responsive behavior)

**Present your estimate to the user:**

> "Based on what we discussed, here's my feature breakdown:
>
> - [Category 1]: ~X features
> - [Category 2]: ~Y features
> - [Category 3]: ~Z features
> - ...
>
> **Total: ~N features**
>
> Does this seem right, or should I adjust?"

Let the user confirm or adjust. This becomes your `feature_count` for the spec.

## Phase 5: Technical Details (DERIVED OR DISCUSSED)

**For Quick Mode users:**
Tell them: "Based on what you've described, I'll design the database, API, and architecture. Here's a quick summary of what I'm planning..."

Then briefly outline:

- Main data entities you'll create (in plain language: "I'll create tables for users, projects, documents, etc.")
- Overall app structure ("sidebar navigation with main content area")
- Any key technical decisions

Ask: "Does this sound right? Any concerns?"

**For Detailed Mode users:**
Walk through each technical area:

**5a. Database Design**

- What entities/tables are needed?
- Key fields for each?
- Relationships?

**5b. API Design**

- What endpoints are needed?
- How should they be organized?

**5c. UI Layout**

- Overall structure (columns, navigation)
- Key screens/pages
- Design preferences (colors, themes)

**5d. Implementation Phases**

- What order to build things?
- Dependencies?

## Phase 6: Success Criteria

Ask in simple terms:

> "What does 'done' look like for you? When would you consider this app complete and successful?"

Prompt for:

- Must-have functionality
- Quality expectations (polished vs functional)
- Any specific requirements

## Phase 7: Review & Approval

Present everything gathered:

1. **Summary of the app** (in plain language)
2. **Feature count**
3. **Technology choices** (whether specified or derived)
4. **Brief technical plan** (for their awareness)

First ask in conversation if they want to make changes.

**Then ask for final confirmation:**

> "Ready to generate the specification files?
>
> 1. **Yes, generate files** - Create app_spec.txt and update prompt files
> 2. **I have changes** - Let me add or modify something first"

---

# FILE GENERATION

**Note: This section is for YOU (the agent) to execute. Do not burden the user with these technical details.**

## Output Directory

The output directory is: `$ARGUMENTS/prompts/`

Once the user approves, generate these files:

## 1. Generate `app_spec.txt`

**Output path:** `$ARGUMENTS/prompts/app_spec.txt`

Create a new file using this XML structure:

```xml
<project_specification>
  <project_name>[Project Name]</project_name>

  <overview>
    [2-3 sentence description from Phase 1]
  </overview>

  <technology_stack>
    <frontend>
      <framework>[Framework]</framework>
      <styling>[Styling solution]</styling>
      [Additional frontend config]
    </frontend>
    <backend>
      <runtime>[Runtime]</runtime>
      <database>[Database]</database>
      [Additional backend config]
    </backend>
    <communication>
      <api>[API style]</api>
      [Additional communication config]
    </communication>
  </technology_stack>

  <prerequisites>
    <environment_setup>
      [Setup requirements]
    </environment_setup>
  </prerequisites>

  <feature_count>[derived count from Phase 4L]</feature_count>

  <security_and_access_control>
    <user_roles>
      <role name="[role_name]">
        <permissions>
          - [Can do X]
          - [Can see Y]
          - [Cannot access Z]
        </permissions>
        <protected_routes>
          - /admin/* (admin only)
          - /settings (authenticated users)
        </protected_routes>
      </role>
      [Repeat for each role]
    </user_roles>
    <authentication>
      <method>[email/password | social | SSO]</method>
      <session_timeout>[duration or "none"]</session_timeout>
      <password_requirements>[if applicable]</password_requirements>
    </authentication>
    <sensitive_operations>
      - [Delete account requires password confirmation]
      - [Financial actions require 2FA]
    </sensitive_operations>
  </security_and_access_control>

  <core_features>
    <[category_name]>
      - [Feature 1]
      - [Feature 2]
      - [Feature 3]
    </[category_name]>
    [Repeat for all feature categories]
  </core_features>

  <database_schema>
    <tables>
      <[table_name]>
        - [field1], [field2], [field3]
        - [additional fields]
      </[table_name]>
      [Repeat for all tables]
    </tables>
  </database_schema>

  <api_endpoints_summary>
    <[category]>
      - [VERB] /api/[path]
      - [VERB] /api/[path]
    </[category]>
    [Repeat for all categories]
  </api_endpoints_summary>

  <ui_layout>
    <main_structure>
      [Layout description]
    </main_structure>
    [Additional UI sections as needed]
  </ui_layout>

  <design_system>
    <color_palette>
      [Colors]
    </color_palette>
    <typography>
      [Font preferences]
    </typography>
  </design_system>

  <implementation_steps>
    <step number="1">
      <title>[Phase Title]</title>
      <tasks>
        - [Task 1]
        - [Task 2]
      </tasks>
    </step>
    [Repeat for all phases]
  </implementation_steps>

  <success_criteria>
    <functionality>
      [Functionality criteria]
    </functionality>
    <user_experience>
      [UX criteria]
    </user_experience>
    <technical_quality>
      [Technical criteria]
    </technical_quality>
    <design_polish>
      [Design criteria]
    </design_polish>
  </success_criteria>
</project_specification>
```

## 2. Update `initializer_prompt.md`

**Output path:** `$ARGUMENTS/prompts/initializer_prompt.md`

If the output directory has an existing `initializer_prompt.md`, read it and update the feature count.
If not, copy from `.claude/templates/initializer_prompt.template.md` first, then update.

**CRITICAL: You MUST update the feature count placeholder:**

1. Find the line containing `**[FEATURE_COUNT]**` in the "REQUIRED FEATURE COUNT" section
2. Replace `[FEATURE_COUNT]` with the exact number agreed upon in Phase 4L (e.g., `25`)
3. The result should read like: `You must create exactly **25** features using the...`

**Example edit:**
```
Before: **CRITICAL:** You must create exactly **[FEATURE_COUNT]** features using the `feature_create_bulk` tool.
After:  **CRITICAL:** You must create exactly **25** features using the `feature_create_bulk` tool.
```

**Verify the update:** After editing, read the file again to confirm the feature count appears correctly. If `[FEATURE_COUNT]` still appears in the file, the update failed and you must try again.

**Note:** You may also update `coding_prompt.md` if the user requests changes to how the coding agent should work. Include it in the status file if modified.

## 3. Write Status File (REQUIRED - Do This Last)

**Output path:** `$ARGUMENTS/prompts/.spec_status.json`

**CRITICAL:** After you have completed ALL requested file changes, write this status file to signal completion to the UI. This is required for the "Continue to Project" button to appear.

Write this JSON file:

```json
{
  "status": "complete",
  "version": 1,
  "timestamp": "[current ISO 8601 timestamp, e.g., 2025-01-15T14:30:00.000Z]",
  "files_written": [
    "prompts/app_spec.txt",
    "prompts/initializer_prompt.md"
  ],
  "feature_count": [the feature count from Phase 4L]
}
```

**Include ALL files you modified** in the `files_written` array. If the user asked you to also modify `coding_prompt.md`, include it:

```json
{
  "status": "complete",
  "version": 1,
  "timestamp": "2025-01-15T14:30:00.000Z",
  "files_written": [
    "prompts/app_spec.txt",
    "prompts/initializer_prompt.md",
    "prompts/coding_prompt.md"
  ],
  "feature_count": 35
}
```

**IMPORTANT:**
- Write this file LAST, after all other files are successfully written
- Only write it when you consider ALL requested work complete
- The UI polls this file to detect completion and show the Continue button
- If the user asks for additional changes after you've written this, you may update it again when the new changes are complete

---

# AFTER FILE GENERATION: NEXT STEPS

Once files are generated, tell the user what to do next:

> "Your specification files have been created in `$ARGUMENTS/prompts/`!
>
> **Files created:**
> - `$ARGUMENTS/prompts/app_spec.txt`
> - `$ARGUMENTS/prompts/initializer_prompt.md`
>
> The **Continue to Project** button should now appear. Click it to start the autonomous coding agent!
>
> **If you don't see the button:** Type `/exit` or click **Exit to Project** in the header.
>
> **Important timing expectations:**
>
> - **First session:** The agent generates features in the database. This takes several minutes.
> - **Subsequent sessions:** Each coding iteration takes 5-15 minutes depending on complexity.
> - **Full app:** Building all [X] features will take many hours across multiple sessions.
>
> **Controls:**
>
> - Press `Ctrl+C` to pause the agent at any time
> - Run `start.bat` (Windows) or `./start.sh` (Mac/Linux) to resume where you left off"

Replace `[X]` with their feature count.

---

# IMPORTANT REMINDERS

- **Meet users where they are**: Not everyone is technical. Ask about what they want, not how to build it.
- **Quick Mode is the default**: Most users should be able to describe their app and let you handle the technical details.
- **Derive, don't interrogate**: For non-technical users, derive database schema, API endpoints, and architecture from their feature descriptions. Don't ask them to specify these.
- **Use plain language**: Instead of "What entities need CRUD operations?", ask "What things can users create, edit, or delete?"
- **Be thorough on features**: This is where to spend time. Keep asking follow-up questions until you have a complete picture.
- **Derive feature count, don't guess**: After gathering requirements, tally up testable features yourself and present the estimate. Don't use fixed tiers or ask users to guess.
- **Validate before generating**: Present a summary including your derived feature count and get explicit approval before creating files.

---

# BEGIN

Start by greeting the user warmly. Ask ONLY the Phase 1 questions:

> "Hi! I'm here to help you create a detailed specification for your app.
>
> Let's start with the basics:
>
> 1. What do you want to call this project?
> 2. In your own words, what are you building?
> 3. Who will use it - just you, or others too?"

**STOP HERE and wait for their response.** Do not ask any other questions yet. Do not use AskUserQuestion yet. Just have a conversation about their project basics first.

After they respond, acknowledge what they said, then move to Phase 2.


Excellent! Now I have a complete understanding of how spec creation works. The key file is `create-spec.md` which is the system prompt given to Claude. For the import feature, I need to:

1. Create a modified version of this prompt (or add a preamble) that:
   - Tells Claude this is an EXISTING project being imported
   - Provides analysis of the existing codebase (files, structure, detected tech stack)
   - Adjusts the interview phases to ask about what the project IS and what features it should HAVE rather than starting from scratch2. Modify the backend to:
   - Add an "import project" endpoint that analyzes the folder first
   - Pass the analysis context to the spec chat session
   - Modify SpecChatSession to accept an optional codebase context

3. Modify the frontend to:
   - Add an "Import Existing" button/option
   - Modify the folder browser to select existing folders (not append project name)
   - Pass an `isImport` flag through the flow

Let me now write the plan.


Now I have a complete understanding. Let me write the implementation plan.


Write

# Import Existing Project Feature - Implementation Plan

## Overview

Add the ability to import an existing project folder into autocoder+, analyze its contents, and run the spec creation interview with context about what's already there.

## User Flow

```
Current "New Project" Flow:
  Name → Folder (NEW) → Method → Claude Interview → Start Agent

New "Import" Flow:
  [Import Existing] → Folder (SELECT EXISTING) → Name (default to folder name)
    → Analyze Codebase → Claude Interview (WITH CONTEXT) → Start Agent
```

## Files to Modify/Create

### Backend Changes

#### 1. `backend/app/routers/projects.py` - Add import endpoint
- Add `POST /api/projects/import` endpoint
- Accepts: `{ name: str, path: str, analyze: bool = true }`
- Validates path exists and is a directory
- Calls codebase analyzer
- Creates project in database
- Returns project + analysis results

#### 2. NEW: `backend/app/services/codebase_analyzer.py` - Analyze existing code
- Scan directory for file structure
- Detect tech stack (package.json, requirements.txt, Cargo.toml, etc.)
- Count files by type
- Read README if present
- Identify frameworks (React, Express, FastAPI, etc.)
- Return structured analysis

```python
class CodebaseAnalysis:
    total_files: int
    file_types: dict[str, int]  # e.g., {".ts": 45, ".py": 12}
    detected_stack: dict  # {frontend: "React", backend: "FastAPI", db: "SQLite"}
    has_readme: bool
    readme_summary: str | None
    directories: list[str]  # top-level dirs
    entry_points: list[str]  # package.json main, Python main.py, etc.
```

#### 3. `autocoder-master/server/services/spec_chat_session.py` - Accept import context
- Modify `create_session()` to accept optional `codebase_context: CodebaseAnalysis`
- Modify `start()` to prepend context to system prompt when importing
- Create import-specific preamble for Claude

#### 4. NEW: `autocoder-master/.claude/commands/import-spec.md` - Import-specific skill
- Similar to `create-spec.md` but with import context
- Phases adjusted for existing codebase:
  - Phase 1: Review what's already there (from analysis)
  - Phase 2: Confirm/correct detected tech stack
  - Phase 3: Ask about features the codebase SHOULD have
  - Phase 4: Derive feature list from existing code + discussion
  - Phase 5-7: Same as create-spec

### Frontend Changes

#### 5. `ui/src/components/NewProjectModal.tsx` - Add import option
- Add initial step to choose: "Create New" vs "Import Existing"
- New state: `isImportMode: boolean`
- When import mode:
  - FolderBrowser selects existing folder (not append name)
  - Project name defaults to folder name
  - Pass `isImport: true` to API

#### 6. `ui/src/components/FolderBrowser.tsx` - Support import mode
- Add prop: `mode: 'create' | 'import'`
- In import mode:
  - Allow selection of non-empty folders
  - Show file count in folder
  - "Select This Project Folder" button text

#### 7. `ui/src/hooks/useProjects.ts` - Add import mutation
```typescript
export function useImportProject() {
  return useMutation({
    mutationFn: ({ name, path }) =>
      api.importProject(name, path),
    onSuccess: () => {
      queryClient.invalidateQueries({ queryKey: ['projects'] })
    },
  })
}
```

#### 8. `ui/src/lib/api.ts` - Add import API call
```typescript
async importProject(name: string, path: string): Promise<ProjectWithAnalysis> {
  const response = await fetch(`${this.baseUrl}/api/projects/import`, {
    method: 'POST',
    headers: { 'Content-Type': 'application/json' },
    body: JSON.stringify({ name, path }),
  })
  return response.json()
}
```

#### 9. `ui/src/components/SpecCreationChat.tsx` - Show analysis context
- Accept optional `codebaseAnalysis` prop
- Display analysis summary at start of chat
- Pass to backend via WebSocket start message

## Implementation Order

1. **Backend analyzer** - Create `codebase_analyzer.py` service
2. **Backend endpoint** - Add import endpoint to `projects.py`
3. **Import skill** - Create `import-spec.md` Claude skill
4. **Session modifications** - Update `spec_chat_session.py` for import context
5. **Frontend API** - Add `importProject` to `api.ts` and `useProjects.ts`
6. **FolderBrowser** - Add import mode support
7. **NewProjectModal** - Add Create/Import choice and import flow
8. **SpecCreationChat** - Display analysis context

## Key Design Decisions

### 1. Separate Import Skill vs. Modified Create Skill
**Decision**: Create separate `import-spec.md` skill
**Reason**: Cleaner separation, different conversation flow, easier to maintain

### 2. Analysis Depth
**Decision**: Lightweight analysis (file types, package files, README)
**Reason**: Don't want to read all source code (too slow, context limits). Let Claude ask about specifics.

### 3. Project Name Handling
**Decision**: Default to folder name, allow user to change
**Reason**: Existing folders have meaningful names, but user should be able to override

### 4. Import vs Create Backend
**Decision**: Separate `/api/projects/import` endpoint
**Reason**: Different validation (folder must exist), includes analysis step

## Testing Plan

1. **Unit test** `codebase_analyzer.py` with sample project structures
2. **Integration test** import endpoint with real folder
3. **E2E test**: Import the GuruConnect folder, verify:
   - Analysis detects tech stack correctly
   - Claude interview receives context
   - Spec file is generated with existing code awareness

## Example: GuruConnect Import

When importing GuruConnect, the analyzer should detect:
- React frontend (package.json with react dependency)
- Rust backend (Cargo.toml)
- SQLite database
- File counts by type

Claude's interview would start with:
> "I've analyzed your existing GuruConnect project. I can see it's a React + Rust application with approximately X files. Let me ask some questions to understand what features this application should have..."


File created successfully at: C:\Users\MikeSwanson\.claude\plans\floating-yawning-cray.md

# Import Existing Project Feature - Implementation Plan

## Overview

Add the ability to import an existing project folder into autocoder+, analyze its contents, and run the spec creation interview with context about what's already there.

## User Flow

```
Current "New Project" Flow:
  Name → Folder (NEW) → Method → Claude Interview → Start Agent

New "Import" Flow:
  [Import Existing] → Folder (SELECT EXISTING) → Name (default to folder name)
    → Analyze Codebase → Claude Interview (WITH CONTEXT) → Start Agent
```

## Files to Modify/Create

### Backend Changes

#### 1. `backend/app/routers/projects.py` - Add import endpoint
- Add `POST /api/projects/import` endpoint
- Accepts: `{ name: str, path: str, analyze: bool = true }`
- Validates path exists and is a directory
- Calls codebase analyzer
- Creates project in database
- Returns project + analysis results

#### 2. NEW: `backend/app/services/codebase_analyzer.py` - Analyze existing code
- Scan directory for file structure
- Detect tech stack (package.json, requirements.txt, Cargo.toml, etc.)
- Count files by type
- Read README if present
- Identify frameworks (React, Express, FastAPI, etc.)
- Return structured analysis

```python
class CodebaseAnalysis:
    total_files: int
    file_types: dict[str, int]  # e.g., {".ts": 45, ".py": 12}
    detected_stack: dict  # {frontend: "React", backend: "FastAPI", db: "SQLite"}
    has_readme: bool
    readme_summary: str | None
    directories: list[str]  # top-level dirs
    entry_points: list[str]  # package.json main, Python main.py, etc.
```

#### 3. `autocoder-master/server/services/spec_chat_session.py` - Accept import context
- Modify `create_session()` to accept optional `codebase_context: CodebaseAnalysis`
- Modify `start()` to prepend context to system prompt when importing
- Create import-specific preamble for Claude

#### 4. NEW: `autocoder-master/.claude/commands/import-spec.md` - Import-specific skill
- Similar to `create-spec.md` but with import context
- Phases adjusted for existing codebase:
  - Phase 1: Review what's already there (from analysis)
  - Phase 2: Confirm/correct detected tech stack
  - Phase 3: Ask about features the codebase SHOULD have
  - Phase 4: Derive feature list from existing code + discussion
  - Phase 5-7: Same as create-spec

### Frontend Changes

#### 5. `ui/src/components/NewProjectModal.tsx` - Add import option
- Add initial step to choose: "Create New" vs "Import Existing"
- New state: `isImportMode: boolean`
- When import mode:
  - FolderBrowser selects existing folder (not append name)
  - Project name defaults to folder name
  - Pass `isImport: true` to API

#### 6. `ui/src/components/FolderBrowser.tsx` - Support import mode
- Add prop: `mode: 'create' | 'import'`
- In import mode:
  - Allow selection of non-empty folders
  - Show file count in folder
  - "Select This Project Folder" button text

#### 7. `ui/src/hooks/useProjects.ts` - Add import mutation
```typescript
export function useImportProject() {
  return useMutation({
    mutationFn: ({ name, path }) =>
      api.importProject(name, path),
    onSuccess: () => {
      queryClient.invalidateQueries({ queryKey: ['projects'] })
    },
  })
}
```

#### 8. `ui/src/lib/api.ts` - Add import API call
```typescript
async importProject(name: string, path: string): Promise<ProjectWithAnalysis> {
  const response = await fetch(`${this.baseUrl}/api/projects/import`, {
    method: 'POST',
    headers: { 'Content-Type': 'application/json' },
    body: JSON.stringify({ name, path }),
  })
  return response.json()
}
```

#### 9. `ui/src/components/SpecCreationChat.tsx` - Show analysis context
- Accept optional `codebaseAnalysis` prop
- Display analysis summary at start of chat
- Pass to backend via WebSocket start message

## Implementation Order

1. **Backend analyzer** - Create `codebase_analyzer.py` service
2. **Backend endpoint** - Add import endpoint to `projects.py`
3. **Import skill** - Create `import-spec.md` Claude skill
4. **Session modifications** - Update `spec_chat_session.py` for import context
5. **Frontend API** - Add `importProject` to `api.ts` and `useProjects.ts`
6. **FolderBrowser** - Add import mode support
7. **NewProjectModal** - Add Create/Import choice and import flow
8. **SpecCreationChat** - Display analysis context

## Key Design Decisions

### 1. Separate Import Skill vs. Modified Create Skill
**Decision**: Create separate `import-spec.md` skill
**Reason**: Cleaner separation, different conversation flow, easier to maintain

### 2. Analysis Depth
**Decision**: Lightweight analysis (file types, package files, README)
**Reason**: Don't want to read all source code (too slow, context limits). Let Claude ask about specifics.

### 3. Project Name Handling
**Decision**: Default to folder name, allow user to change
**Reason**: Existing folders have meaningful names, but user should be able to override

### 4. Import vs Create Backend
**Decision**: Separate `/api/projects/import` endpoint
**Reason**: Different validation (folder must exist), includes analysis step

## Testing Plan

1. **Unit test** `codebase_analyzer.py` with sample project structures
2. **Integration test** import endpoint with real folder
3. **E2E test**: Import the GuruConnect folder, verify:
   - Analysis detects tech stack correctly
   - Claude interview receives context
   - Spec file is generated with existing code awareness

## Example: GuruConnect Import

When importing GuruConnect, the analyzer should detect:
- React frontend (package.json with react dependency)
- Rust backend (Cargo.toml)
- SQLite database
- File counts by type

Claude's interview would start with:
> "I've analyzed your existing GuruConnect project. I can see it's a React + Rust application with approximately X files. Let me ask some questions to understand what features this application should have..."


I have written the initial plan. Now let me check if there's a GuruConnect project to understand what kind of existing project we'd be importing, so I can make sure the plan accounts for it properly. Then I'll ask the user any clarifying questions before finalizing the plan.


Let me check the GuruConnect project you mentioned to ensure the analysis approach would work well for it:


Bash

find /c/Users/MikeSwanson/claude-projects -type d -name "*GuruConnect*" 2>/dev/null | head -5

Find GuruConnect project


The find command didn't return any results. Let me try a different approach to find GuruConnect.


List projects directory