fix: Remove all emojis from documentation for cross-platform compliance
Replaced 50+ emoji types with ASCII text markers for consistent rendering across all terminals, editors, and operating systems: - Checkmarks/status: [OK], [DONE], [SUCCESS], [PASS] - Errors/warnings: [ERROR], [FAIL], [WARNING], [CRITICAL] - Actions: [DO], [DO NOT], [REQUIRED], [OPTIONAL] - Navigation: [NEXT], [PREVIOUS], [TIP], [NOTE] - Progress: [IN PROGRESS], [PENDING], [BLOCKED] Additional changes: - Made paths cross-platform (~/ClaudeTools for Mac/Linux) - Fixed database host references to 172.16.3.30 - Updated START_HERE.md and CONTEXT_RECOVERY_PROMPT.md for multi-OS use Files updated: 58 markdown files across: - .claude/ configuration and agents - docs/ documentation - projects/ project files - Root-level documentation This enforces the NO EMOJIS rule from directives.md and ensures documentation renders correctly on all systems. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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@@ -10,35 +10,35 @@
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**Mission:** Fix non-functional context recall system and implement all missing features.
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**Result:** ✅ **COMPLETE** - All critical systems implemented, tested, and operational.
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**Result:** [OK] **COMPLETE** - All critical systems implemented, tested, and operational.
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### What Was Broken (Start of Session)
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1. ❌ 549 imported conversations never processed into database
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2. ❌ No database-first retrieval (Claude searched local files)
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3. ❌ No automatic context save (only manual /checkpoint)
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4. ❌ No agent delegation rules
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5. ❌ No tombstone system for cleanup
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6. ❌ Database unoptimized (no FULLTEXT indexes)
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7. ❌ SQL injection vulnerabilities in recall API
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8. ❌ No /snapshot command for on-demand saves
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1. [ERROR] 549 imported conversations never processed into database
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2. [ERROR] No database-first retrieval (Claude searched local files)
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3. [ERROR] No automatic context save (only manual /checkpoint)
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4. [ERROR] No agent delegation rules
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5. [ERROR] No tombstone system for cleanup
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6. [ERROR] Database unoptimized (no FULLTEXT indexes)
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7. [ERROR] SQL injection vulnerabilities in recall API
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8. [ERROR] No /snapshot command for on-demand saves
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### What Was Fixed (End of Session)
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1. ✅ **710 contexts in database** (589 imported + existing)
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2. ✅ **Database-first protocol** mandated and documented
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3. ✅ **/snapshot command** created for on-demand saves
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4. ✅ **Agent delegation rules** established
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5. ✅ **Tombstone system** fully implemented
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6. ✅ **Database optimized** with 5 performance indexes (10-100x faster)
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7. ✅ **SQL injection fixed** with parameterized queries
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8. ✅ **Comprehensive documentation** (9 major docs created)
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1. [OK] **710 contexts in database** (589 imported + existing)
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2. [OK] **Database-first protocol** mandated and documented
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3. [OK] **/snapshot command** created for on-demand saves
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4. [OK] **Agent delegation rules** established
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5. [OK] **Tombstone system** fully implemented
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6. [OK] **Database optimized** with 5 performance indexes (10-100x faster)
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7. [OK] **SQL injection fixed** with parameterized queries
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8. [OK] **Comprehensive documentation** (9 major docs created)
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---
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## Achievements by Category
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### 1. Data Import & Migration ✅
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### 1. Data Import & Migration [OK]
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**Imported Conversations:**
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- 589 files imported (546 from imported-conversations + 40 from guru-connect-conversation-logs + 3 failed empty files)
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@@ -52,7 +52,7 @@
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- Verification tool created (`scripts/check-tombstones.py`)
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- Ready to archive 549 files (99.4% space savings)
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### 2. Database Optimization ✅
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### 2. Database Optimization [OK]
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**Performance Indexes Applied:**
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1. `idx_fulltext_summary` (FULLTEXT on dense_summary)
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@@ -72,7 +72,7 @@
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- Migration scripts ready
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- Expected improvement: 100x faster tag queries
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### 3. Security Hardening ✅
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### 3. Security Hardening [OK]
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**SQL Injection Vulnerabilities Fixed:**
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- Replaced all f-string SQL with `func.concat()`
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@@ -87,7 +87,7 @@
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**Code Review:** APPROVED by Code Review Agent after fixes
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### 4. New Features Implemented ✅
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### 4. New Features Implemented [OK]
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**/snapshot Command:**
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- On-demand context save without git commit
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@@ -108,7 +108,7 @@
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- Tag analytics enabled
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- Migration scripts ready
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### 5. Documentation Created ✅
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### 5. Documentation Created [OK]
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**Major Documentation (9 files, 5,500+ lines):**
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@@ -310,14 +310,14 @@ User receives context-aware response
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## Test Results
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### Passed Tests ✅
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### Passed Tests [OK]
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- **Context Compression:** 9/9 (100%)
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- **SQL Injection Detection:** 20/20 (all attacks blocked)
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- **API Security:** APPROVED by Code Review Agent
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- **Database Indexes:** Applied and verified
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### Blocked Tests ⚠️
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### Blocked Tests [WARNING]
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- **API Integration:** 42 tests blocked (TestClient API change)
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- **Authentication:** Token generation issues
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@@ -336,7 +336,7 @@ User receives context-aware response
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## Deployment Status
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### Production Ready ✅
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### Production Ready [OK]
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1. **Database Optimization** - Indexes applied and verified
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2. **Security Hardening** - SQL injection fixed, code reviewed
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@@ -344,7 +344,7 @@ User receives context-aware response
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4. **Documentation** - Complete (5,500+ lines)
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5. **Features** - /snapshot, tombstone, normalized tags ready
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### Pending (Optional) 🔄
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### Pending (Optional) [SYNC]
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1. **Tag Migration** - Run `python scripts/migrate_tags_to_normalized_table.py`
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2. **Tombstone Cleanup** - Run `python scripts/archive-imported-conversations.py`
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@@ -405,7 +405,7 @@ Claude: [Creates git commit + database save, returns both confirmations]
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| **Security** | VULNERABLE | HARDENED | SQL injection fixed |
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| **Documentation** | 0 lines | 5,500+ lines | Complete |
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| **Features** | /checkpoint only | +/snapshot +tombstones | 3x more |
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| **Dataforth accessible** | NO | YES | ✅ Fixed |
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| **Dataforth accessible** | NO | YES | [OK] Fixed |
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---
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@@ -439,10 +439,10 @@ Claude: [Creates git commit + database save, returns both confirmations]
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### Immediate (Ready Now)
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1. ✅ **Use the system** - Everything works!
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2. ✅ **Query database first** - Follow DATABASE_FIRST_PROTOCOL.md
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3. ✅ **Save progress** - Use /snapshot and /checkpoint
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4. ✅ **Search for Dataforth** - It's in the database!
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1. [OK] **Use the system** - Everything works!
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2. [OK] **Query database first** - Follow DATABASE_FIRST_PROTOCOL.md
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3. [OK] **Save progress** - Use /snapshot and /checkpoint
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4. [OK] **Search for Dataforth** - It's in the database!
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### Optional (When Ready)
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@@ -488,7 +488,7 @@ Claude: [Creates git commit + database save, returns both confirmations]
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## Lessons Learned
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### What Worked Well ✅
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### What Worked Well [OK]
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1. **Agent Delegation** - All 8 delegated tasks completed successfully
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2. **Code Review** - Caught critical SQL injection before deployment
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@@ -496,7 +496,7 @@ Claude: [Creates git commit + database save, returns both confirmations]
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4. **Compression** - 85-90% reduction achieved
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5. **Documentation** - Comprehensive (5,500+ lines)
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### Challenges Overcome 🎯
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### Challenges Overcome [TARGET]
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1. **SQL Injection** - Found by Code Review Agent, fixed by Coding Agent
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2. **Database Access** - Used API instead of direct connection
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@@ -517,7 +517,7 @@ Claude: [Creates git commit + database save, returns both confirmations]
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**Mission:** Fix non-functional context recall system.
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**Result:** ✅ **COMPLETE SUCCESS**
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**Result:** [OK] **COMPLETE SUCCESS**
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- 710 contexts in database (was 124)
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- Database-first retrieval working
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@@ -538,4 +538,4 @@ Claude: [Creates git commit + database save, returns both confirmations]
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**Lines of Docs:** 5,500+ (documentation)
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**Tests Created:** 32 security + 20 compression = 52 tests
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**Agent Tasks:** 8 delegated, 8 completed
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**Status:** OPERATIONAL ✅
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**Status:** OPERATIONAL [OK]
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