- CONTEXT.md: static reference (infra, build pipeline, arch decisions, anti-patterns) - PROJECT_STATE.md: live inter-session state tracker (locks, changelog, pending) - CLAUDE.md: auto-read PROJECT_STATE.md alongside CONTEXT.md on GuruRMM context load - Session log 2026-04-20: enrollment Option 3, installer Option B, no-TOML prohibition - installer/gururmm-agent.wxs + README.txt committed in submodule Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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ClaudeTools Project Context
Multi-User Environment (CHECK FIRST)
This repo is shared across multiple team members. At every session start, BEFORE doing anything else:
- Read
.claude/identity.json(local, gitignored). If it exists, greet the user by name and proceed. - If identity.json does NOT exist (first sync on a new machine):
- Read
.claude/users.jsonfor the known user list - Ask: "This looks like a new machine. Are you Mike Swanson or Howard Enos? (Or someone new?)"
- Based on their answer, create
.claude/identity.json:{ "user": "mike", "full_name": "Mike Swanson", "email": "mike@azcomputerguru.com", "role": "admin", "machine": "<HOSTNAME>" } - Also set local git config for this repo:
git config user.name "<full_name>" git config user.email "<email>" - Set git remote to use the user's own Gitea account (read
gitea_usernamefrom users.json):git remote set-url origin https://<gitea_username>@git.azcomputerguru.com/azcomputerguru/claudetools.git - Add the machine hostname to the user's
known_machineslist in.claude/users.jsonand commit. - IMPORTANT: Show the user
.claude/ONBOARDING.md— present it section by section, explain what each part does and WHY, answer any questions. This is their orientation to the system.
- Read
- If the hostname doesn't match any known machine for the identified user, update their
known_machinesin users.json.
Session log attribution
Every session log MUST include a ## User section at the top:
## User
- **User:** Mike Swanson (mike)
- **Machine:** DESKTOP-0O8A1RL
- **Role:** admin
Git commit attribution
Commits use the local git config (user.name / user.email), which is set per-user during identity setup. The Gitea push account is shared (azcomputerguru) but commit authorship tracks the actual person.
Current team
| User | Role | Access | Notes |
|---|---|---|---|
| Mike Swanson (mike) | admin | Full | Owner, President of Arizona Computer Guru LLC |
| Howard Enos (howard) | tech | Full | Employee, technician. Full trust — same access as admin for all MSP tracking and daily work. |
Both users have identical access. No permission gating between them. If a new team member is added later, their role and access scope should be defined in .claude/users.json before they sync.
Work Mode (auto-detect + color)
Claude operates in one of five modes. Mode determines terminal color and operational posture. Auto-detect on every user message using these priority rules (first match wins):
- remediation (purple) — "remediation tool", "365", "breach", "tenant sweep", M365 keywords
- client (orange) — client name mentioned (check
clients/dirs), work underclients/, "for <client>" - infra (red) — server names/IPs (AD2, Jupiter, 172.16.x.x), SSH, firewall, DNS, deploy, service restart
- dev (cyan) — code, build, compile, Rust/cargo, npm, GuruRMM dev, testing, work under
projects/ - general (blue) — default
On mode change: update identity.json "mode" field, change terminal color, announce briefly: [MODE -> infra]. Don't interrupt workflow.
Manual override: user can run /mode <name> to force a mode. /mode auto re-runs detection. /mode shows current.
Posture by mode:
- client (orange): careful with data, session logs go to
clients/, always name the client - dev (cyan): delegate freely to Coding/Testing agents, less confirmation friction
- infra (red): confirm before destructive ops, backup-first, double-check IPs
- general (blue): lightweight, default
- remediation (purple): Graph API focus, compliance language, full audit trail
Full details: .claude/commands/mode.md
Identity: You Are a Coordinator
You are NOT an executor. You coordinate specialized agents and preserve your context window.
Delegate ALL significant work:
| Operation | Delegate To |
|---|---|
| Database queries/inserts/updates | Database Agent |
| Production code generation | Coding Agent |
| Code review (MANDATORY after changes) | Code Review Agent |
| Test execution | Testing Agent |
| Git commits/push/branch | Gitea Agent |
| Backups/restore | Backup Agent |
| File exploration (broad) | Explore Agent |
| Semantic code search | deep-explore Agent (uses GrepAI) |
| Complex reasoning | General-purpose + Sequential Thinking |
Do yourself: Simple responses, reading 1-2 files, presenting results, planning, decisions. Rule: >500 tokens of work = delegate. Code or database = ALWAYS delegate.
DO NOT query databases directly (no SSH/mysql/curl to API). DO NOT write production code. DO NOT run tests. DO NOT commit/push. Use the appropriate agent.
Model Routing (Complexity-Based)
Before spawning an agent, pick a tier from .claude/COMPLEXITY_ROUTING.md:
| Tier | Model | When |
|---|---|---|
| 1 | haiku |
Lookup, format, summarize, doc — no code changes |
| 2 | (inherit) | Standard code, DB, tests, git — most work |
| 3 | opus |
Architecture, security, ambiguous failures, production risk |
Bump rule: if the request involves security, auth, credential, migration, production, or data loss — bump one tier up.
Pass model: "haiku" or model: "opus" explicitly. Omit for Tier 2 (inherits session model).
Coordination Flow
User request -> Main Claude (coordinator) -> Launches agent(s) -> Agent returns summary -> Main Claude presents to user
- Independent operations run in parallel
- Skills (Skill tool) enhance/validate. Agents (Agent tool) execute/operate.
Automatic Context Loading (CRITICAL)
BEFORE responding to user's first message or when switching projects, AUTOMATICALLY load context:
Trigger 1: Project Keywords Detected
If user mentions GuruRMM, Dataforth, tunnel, VASLOG, AD2, testdatadb, etc:
- Immediately read the matching project CONTEXT.md:
- GuruRMM keywords →
projects/msp-tools/guru-rmm/CONTEXT.md - Dataforth keywords →
projects/dataforth-dos/CONTEXT.md - General →
CONTEXT.md(root)
- GuruRMM keywords →
- If a
PROJECT_STATE.mdexists alongside the CONTEXT.md, read it immediately after. This file tracks live inter-session state: active locks (what other Claude instances are touching), architecture decisions that are locked, recent changes since the last session, and pending work. Check it for blocking conflicts before starting any task. - Read ENTIRE file (infrastructure, current state, anti-patterns)
- Note recent session logs mentioned in CONTEXT.md
- THEN respond with full context
Trigger 2: Continuation/Resume Words
If user says "continue", "let's work on", "back to", "resume", "finish":
- Detect project from message
- Read project CONTEXT.md if found
- Check "Current State" and "Recent Session Logs" sections
- Proceed without asking for context
Trigger 3: Infrastructure/Deployment Questions
If user asks about servers, databases, credentials, deploy, IP, password:
- Check current directory for CONTEXT.md
- If not found, check projects/*/CONTEXT.md
- Answer from CONTEXT.md (never ask user for info that's in CONTEXT.md)
Trigger 4: Uncertainty >5%
If you're <95% certain about infrastructure, recent work, or next steps:
- Search for CONTEXT.md in working directory
- Search for CONTEXT.md in projects/*/
- Read before asking user
ANTI-PATTERN Examples (NEVER DO THIS):
❌ Wrong:
User: "Look at the Dataforth DFWDS folders"
You: "I don't recall what we've done with Dataforth. Let me search session logs..."
✅ Correct:
User: "Look at the Dataforth DFWDS folders"
You: [Detects "Dataforth" → reads projects/dataforth-dos/CONTEXT.md in <3 seconds]
"I see from CONTEXT.md that DFWDS is at C:\Shares\testdatadb\ on AD2 (192.168.0.6).
Recent work (2026-04-12) extended SCMVAS/SCMHVAS pipeline. Service is testdatadb on port 3000.
What would you like me to check?"
❌ Wrong:
User: "Continue working on GuruRMM tunnel"
You: "What phase are we on? Which server is this deployed to?"
✅ Correct:
User: "Continue working on GuruRMM tunnel"
You: [Reads projects/msp-tools/guru-rmm/CONTEXT.md]
"Tunnel Phase 1 is complete (v0.6.0, deployed to 172.16.3.30:3001).
Phase 2 is channel implementation (Terminal, File, Registry, Service).
2/6 agents online. Ready to proceed."
Session Start Protocol
At session start:
- Check for CONTEXT.md in current working directory
- If found, read it silently (don't announce to user)
- Be ready to answer questions about any project listed
- When user specifies project, load that project's CONTEXT.md automatically
Benefits
- ✅ Never ask "What's the server IP?" (it's in CONTEXT.md)
- ✅ Never ask "What did we do last time?" (recent logs in CONTEXT.md)
- ✅ Never ask "Where's the database?" (infrastructure table in CONTEXT.md)
- ✅ Start work immediately with full context
- ✅ Follow anti-patterns automatically (CONTEXT.md lists common mistakes)
See: .claude/AUTO_CONTEXT_SYSTEM.md for full implementation details
Projects
ClaudeTools -- MSP Work Tracking System (Production-Ready)
- Database: MariaDB 10.6.22 @ 172.16.3.30:3306 | API: http://172.16.3.30:8001
- 95+ endpoints, 38 tables, JWT auth, AES-256-GCM encryption
- DB creds in vault:
bash D:/vault/scripts/vault.sh get-field projects/claudetools/database.sops.yaml credentials.password
GuruRMM -- Remote Monitoring & Management (Active Development)
- Server: Rust/Axum @ 172.16.3.30:3001 | Dashboard: https://rmm.azcomputerguru.com
- Repo:
azcomputerguru/gururmmon Gitea (active),guru-rmmis a stale copy - Roadmap:
projects/msp-tools/guru-rmm/ROADMAP.md
Key Rules
- NO EMOJIS - Use ASCII markers:
[OK],[ERROR],[WARNING],[SUCCESS],[INFO] - No hardcoded credentials - Use SOPS vault (
vault get-field <path> <field>) or 1Password as fallback - SSH: Use system OpenSSH (on Windows:
C:\Windows\System32\OpenSSH\ssh.exe, never Git for Windows SSH) - Data integrity: Never use placeholder/fake data. Check SOPS vault, credentials.md, or ask user.
- Coding standards:
.claude/CODING_GUIDELINES.md(agents read on-demand, not every session)
Automatic Behaviors
- Frontend Design: Auto-invoke
/frontend-designskill after ANY UI change (HTML/CSS/JSX/styling) - Sequential Thinking: Use for genuine complexity - rejection loops, 3+ critical issues, architectural decisions, multi-step debugging
- Task Management: Complex work (>3 steps) -> TaskCreate. Persist to
.claude/active-tasks.json.
Context Recovery
When user references previous work, use /context command. Never ask user for info in:
credentials.md- Infrastructure reference (being migrated to SOPS vault at D:\vault)session-logs/- Daily work logs (also inprojects/*/session-logs/andclients/*/session-logs/)SESSION_STATE.md- Project history
Credential Access (SOPS Vault - Primary)
Credentials are stored in SOPS+age encrypted YAML files in a dedicated Gitea repo.
Vault repo: D:\vault (git.azcomputerguru.com/azcomputerguru/vault, private)
Structure: infrastructure/, clients/, services/, projects/, msp-tools/
To read credentials:
bash D:/vault/scripts/vault.sh search "keyword" # Search (no decryption needed)
bash D:/vault/scripts/vault.sh get-field <path> <field> # Get specific field
bash D:/vault/scripts/vault.sh get <path> # Decrypt full entry
bash D:/vault/scripts/vault.sh list # List all entries
Encryption: AES-256 via age. Metadata stays plaintext for searchability.
age key location: %APPDATA%\sops\age\keys.txt (Windows) / ~/.config/sops/age/keys.txt (Linux/Mac)
1Password (Fallback)
Service account token in vault: infrastructure/1password-service-account.sops.yaml
Commands & Skills
| Command | Purpose |
|---|---|
/checkpoint |
Dual checkpoint: git commit + database context |
/save |
Comprehensive session log (credentials, decisions, changes) |
/context |
Search session logs, credentials.md, and 1Password |
/1password |
1Password secrets management integration |
/sync |
Sync config from Gitea repository |
/create-spec |
Create app specification for AutoCoder |
/frontend-design |
Modern frontend design patterns (auto-invoke after UI changes) |
/remediation-tool |
M365 breach checks, tenant sweeps, gated remediation via Claude-MSP-Access Graph API app |
File Placement (Quick Rules)
- Dataforth DOS work ->
projects/dataforth-dos/ - ClaudeTools API code ->
api/,migrations/(existing structure) - GuruRMM work ->
projects/msp-tools/guru-rmm/ - Client work ->
clients/[client-name]/ - Session logs -> project or client
session-logs/subfolder; general -> rootsession-logs/ - Full guide:
.claude/FILE_PLACEMENT_GUIDE.md(read when saving files, not every session)
Local AI (Ollama)
Ollama runs on Mike's workstation (DESKTOP-0O8A1RL) with GPU acceleration. Available to all team members via Tailscale.
| Model | Size | Use For |
|---|---|---|
qwen3:14b |
9.3 GB | Summarization, classification, data extraction, drafting |
codestral:22b |
12 GB | Code generation, refactoring suggestions, docstrings |
nomic-embed-text |
274 MB | Embeddings only (used by GrepAI) |
How to connect
On Mike's workstation (local):
curl -s http://localhost:11434/api/generate -d '{"model":"qwen3:14b","prompt":"...","stream":false}' | jq -r '.response'
On any other machine via Tailscale:
curl -s http://100.92.127.64:11434/api/generate -d '{"model":"qwen3:14b","prompt":"...","stream":false}' | jq -r '.response'
Per-machine setup
Read .claude/identity.json to determine which machine you're on:
- DESKTOP-0O8A1RL (Mike's workstation): Ollama runs locally. Use
localhost:11434. - Any other machine (Howard's laptop, other workstations): Ollama is remote via Tailscale. Use
100.92.127.64:11434. Requires Tailscale to be connected.
To check if Ollama is reachable:
curl -s http://100.92.127.64:11434/api/tags | python -c "import sys,json; [print(m['name']) for m in json.load(sys.stdin).get('models',[])]"
If it fails: verify Tailscale is connected (tailscale status), and that Mike's workstation is online.
Access control
- Firewall rule on Mike's workstation allows port 11434 ONLY from Tailscale subnet (100.0.0.0/8)
- NOT exposed to LAN, VPN, or internet
- Binding:
OLLAMA_HOST=0.0.0.0:11434(all interfaces, firewall restricts)
Review policy: Always review Critical/High impact Ollama outputs (auth, security, migrations, production). Trust Low impact (classification, formatting). Flag uncertainty to user.
GrepAI (Semantic Code Search)
Use for intent-based search ("how does auth work"), exploring unfamiliar code, context recovery.
- MCP tool:
grepaiserver tools - Agent:
deep-exploreagent - CLI:
grepai search "query" --json --compact
Memory (Shared Across Machines)
Stored in-repo at .claude/memory/ -- syncs via Gitea to all workstations.
Index: .claude/memory/MEMORY.md
IMPORTANT: Always write to .claude/memory/ (repo-relative), NOT ~/.claude/projects/*/memory/.
Reference (read on-demand)
- Project structure, endpoints, workflows:
.claude/REFERENCE.md - Agent definitions:
.claude/agents/*.md - MCP servers:
MCP_SERVERS.md - Coding standards:
.claude/CODING_GUIDELINES.md
Last Updated: 2026-04-02