Ryan Malloy
3a13410f57
📚 Documentation Organization: - Move 9 historical files to docs/archive/ (session summaries, implementation status) - Keep only 5 current reference docs in docs/ (safety, build, LLM guide) - Update docs/README.md with clean structure and current status ✨ Clean docs/ Structure: ├── README.md (updated directory index) ├── SACRED_TRUST_SAFETY.md (core safety framework) ├── UV_BUILD_GUIDE.md (build instructions) ├── PACKAGE_READY.md (package info) ├── LLM_TOOL_GUIDE.md (AI assistant reference) └── archive/ (15 historical implementation docs) 🎯 Result: Professional documentation structure with clear separation between current reference docs and historical development records. Ready for Phase 3 with clean, maintainable project organization!
60 lines
4.0 KiB
Markdown
60 lines
4.0 KiB
Markdown
✅ COMPLETED: Anytime a file listing is returned, set a flag on a file or directory if it's in a git repository
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- Implemented `_detect_git_repository()` method for robust git detection
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- Enhanced `file_list_directory_tree` with git repository flags
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- Added `file_enhanced_list_directory` with automatic git repository detection
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- Enhanced `file_tre_directory_tree` with git repository flags
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- Added comprehensive git info: repository root, current branch, git type
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- Handles edge cases: worktrees, submodules, bare repositories, detached HEAD
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- All file listing tools now automatically flag git repository status
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✅ COMPLETED: Add "git grep" tool, with annotations
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- Implemented comprehensive `git_grep` tool with intelligent annotations
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- Support for multiple search types: basic, regex, fixed-string, extended-regex
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- Advanced filtering: file patterns, exclude patterns, context lines, case sensitivity
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- Intelligent annotations: file metadata, match analysis, context hints, optimization suggestions
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- Performance metrics and search coverage assessment
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- Support for untracked files and specific git refs
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- Cross-platform compatibility with proper timeout handling
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- Comprehensive error handling and logging integration
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✅ COMPLETED: Add "sneller" with hints to how fast it is and how to use it.
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- Implemented comprehensive SnellerAnalytics class with 3 main tools
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- `sneller_query`: Execute lightning-fast vectorized SQL queries (TBs/second performance)
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- `sneller_optimize`: Optimize SQL queries for maximum Sneller performance with AVX-512 hints
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- `sneller_setup`: Set up and configure Sneller for optimal performance
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- Extensive performance hints: 1GB/s/core throughput, AVX-512 vectorization, compression optimization
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- Educational simulation mode when Sneller not available locally
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- Hardware requirements and optimization guidance for maximum speed
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- Integration with bucketed compression and schema-less JSON processing
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- Real-time performance metrics and throughput calculations
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✅ COMPLETED: Asciinema - Complete terminal recording and auditing system
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- `asciinema_record`: Capture terminal sessions with metadata for auditing
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- `asciinema_search`: Search recordings with comprehensive filtering (date, duration, command, visibility)
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- `asciinema_playback`: Generate playback URLs and embedding code with customization options
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- `asciinema_auth`: Authenticate with asciinema.org and manage install ID with markdown response
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- `asciinema_upload`: Upload recordings to asciinema.org or custom servers with privacy controls
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- `asciinema_config`: Configure upload destinations and privacy settings
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- Privacy protection: Confirmation required for public uploads with 7-day deletion warning
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- Recording database: In-memory storage with comprehensive metadata and search capabilities
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- Educational simulation: Works without asciinema installed for demonstration purposes
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- Comprehensive markdown generation for easy sharing and documentation
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✅ COMPLETED: Add "completion" - Intelligent tool recommendation system
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- `ai_recommend_tools`: AI-powered tool recommendations based on natural language task descriptions
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- `ai_explain_tool`: Comprehensive tool explanations with examples and best practices
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- `ai_suggest_workflow`: Complete multi-step workflow generation for complex tasks
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- Context-aware analysis: Working directory, git repository, project type detection
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- Performance-optimized recommendations: Speed/comprehensive/automation/educational profiles
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- Intelligent task analysis: Primary intent detection, complexity assessment, keyword matching
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- Workflow automation: Semi-automated and fully-automated script generation
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- Success criteria and monitoring suggestions for complex workflows
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- Tool combination suggestions and alternative approach recommendations
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- Confidence scoring and comprehensive explanations for all recommendations
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######
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resume using desktop commander mcp to work on /home/rpm/claude/enhanced-mcp-tools
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* use uv to run python commands*
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#####
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