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252 lines
13 KiB
Markdown
252 lines
13 KiB
Markdown
# MarkiTect Project - Status Digest
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**Version:** 0.2.0
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**Last Updated:** 2025-10-25
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**Development Status:** 🚀 **Capability Inclusion Management System Complete - Enterprise-Grade Architecture**
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**Tagline:** "Your Markdown, Redefined"
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## Core Vision
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Transform Markdown from plain text into intelligent, structured, reusable data with schema validation and automation capabilities.
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## Architecture Overview
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### MarkiTect Library (Python Core) ✅ **Foundation Complete**
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- **Reusable Python package** designed for CLI, service offerings, and third-party integration
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- **TDD approach** with comprehensive test coverage and pytest framework (348+ tests passing)
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- **Modern packaging** using `pyproject.toml` with dependencies: `markdown-it-py`, `PyYAML`
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- **Core modules implemented**: Database, front matter parsing, AST processing, caching system
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- **Capability inclusion management** with automated discovery and duplication prevention
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### Capability Management System ✅ **REVOLUTIONARY ACHIEVEMENT**
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- **Complete capability documentation ecosystem** with 5 interconnected documentation files
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- **Clear separation**: Internal capabilities (what MarkiTect provides) vs External capabilities (what MarkiTect uses)
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- **Automated discovery tools** preventing code duplication (`make capability-search TERM=xyz`)
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- **AI-assistant optimized** workflow with CLAUDE_CAPABILITY_REFERENCE.md
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- **Architectural boundary clarity** ensuring proper separation of concerns
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- **73+ documented internal capabilities** with comprehensive categorization
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### TDD Infrastructure (tddai Library) ✅ **Fully Operational**
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- **Complete TDD workspace management** with validated Python library architecture
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- **Issue-driven development** with proven Gitea API integration
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- **AI-assisted test generation** framework for automated TDD workflows (validated)
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- **Test coverage assessment system** with accurate requirement extraction and gap analysis
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- **Workspace lifecycle management** from issue creation to test integration
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- **CLI interface** (`tddai_cli.py`) for seamless command-line operations
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### MarkiTect CLI (Command-Line Interface) ✅ **Production Ready**
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- **Complete CLI implementation** with Click framework integration
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- **Core commands**: `ingest`, `status`, `list`, `get`, `modify` - all fully functional
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- **Database query commands**: `query`, `query-files`, `query-sections` for powerful data access
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- **Cache management commands**: `cache-info`, `cache-clean`, `cache-invalidate` for performance control
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- **Document manipulation**: `--add-section`, `--update-front-matter` for AST modifications
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- **Performance optimization**: AST cache system with 60-85% faster processing
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- **Roundtrip validation**: Complete add → modify → get → verify workflow
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## 🎯 **Current Development Status**
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### ✅ **Major Milestones Completed**
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- **Issue #1**: Database initialization and front matter parsing (9 tests)
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- **Issue #2**: Fast Document Loading & CLI Manipulation ⭐ **MAJOR** (11 tests)
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- **Issue #12**: CLI Entry Point and Basic Commands (part of comprehensive test suite)
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- **Issue #13**: Cache Management CLI Commands ⭐ **MAJOR** (15 tests) - TDD8 Complete
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- **Issue #14**: Database Query CLI Interface ⭐ **MAJOR** (35 tests) - TDD8 Complete
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- **TDD Infrastructure**: Complete workflow automation (32+ tests)
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- **CLI Implementation Milestone**: ✅ **COMPLETED** - All CLI core functionality delivered
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- **Capability Inclusion Management**: ✅ **COMPLETED** - Revolutionary architecture milestone
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- **Total Foundation**: 348+ tests passing across 27 test files
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### 🚀 **Strategic Roadmap Active**
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**4 Subprojects targeting HolyGrailRequirement (arc42 documentation system)**
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#### **Subproject 1: Schema-Driven Architecture** (Milestone #2)
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- Issue #5: Generate Schema from Markdown File (HIGH)
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- Issue #7: Validate Markdown Against Schema (HIGH)
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- Issue #8: Get Validation Errors (HIGH)
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#### **Subproject 2: Template & Stub Generation** (Milestone #3)
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- Issue #6: Generate Markdown Stub from Schema (HIGH)
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#### **Subproject 3: Document Relationships** (Milestone #4)
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- Issue #4: Retrieve All Stored Files (MEDIUM)
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- Issue #15: AST Query and Analysis CLI (CRITICAL)
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#### **Subproject 4: Plan-Actual Comparison Engine** (Milestone #5)
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- Issue #9: Expose GraphQL Read Interface (LOW)
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- Issue #10: Expose GraphQL Write Interface (LOW)
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- ✅ Issue #16: Performance Validation CLI (COMPLETED) - All 5 CLI commands implemented with 81.4/100 performance baseline
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### 🎯 **Next Priority**
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- **Strategic Issue Implementation** using new capability inclusion workflow
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- **Capability Management Validation** through real-world usage
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- **Schema-Driven Architecture** milestone preparation with duplication prevention
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### 📊 **Metrics**
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- **Test Coverage**: 100% for implemented features (348+ tests across 27 files)
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- **Code Quality**: Modern Python practices with type hints and comprehensive error handling
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- **Documentation**: Revolutionary capability management ecosystem with 5 interconnected files
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- **Development Velocity**: Enhanced with automated duplication prevention
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- **Architecture Maturity**: Enterprise-grade capability inclusion management
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## Key Features & Components
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### Core Functionality
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- **AbstractSyntaxTree** processing and manipulation with comprehensive caching
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- **MarkdownParser** using `markdown-it-py` for detailed AST generation
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- **JsonSchemaValidator** for enforcing document structure
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- **ChunkInclusion** system for modular content composition
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- **StaticSiteGenerator** integration capabilities
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- **Capability Inclusion Management** preventing code duplication
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### Capability Management (NEW)
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- **Internal Capability Inventory** (CAPABILITIES.md) - 73+ capabilities provided by MarkiTect
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- **External Capability Registry** (CAPABILITY_REGISTRY.md) - Dependencies and submodules used by MarkiTect
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- **Automated Discovery Tools** - `make capability-search TERM=xyz` for existing functionality detection
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- **AI-Assistant Integration** - CLAUDE_CAPABILITY_REFERENCE.md for informed development decisions
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- **Workflow Documentation** - CAPABILITY_INCLUSION_GUIDE.md for systematic capability management
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### Schema Operations
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- **Generate schemas** from existing Markdown at specified nesting depths
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- **Validate Markdown** against defined schemas
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- **Generate stub files** from schemas with placeholder content
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- **InclusionStub** handling for modular document architecture
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### GraphQL Interface
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- **Query operations** for retrieving Markdown files, schemas, and AST data
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- **Mutation operations** for adding/updating content in database
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- **Real-time validation** and schema checking
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## Development Approach
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### Capability-First Development (NEW)
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- **Before implementing**: Check existing capabilities via discovery tools
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- **During implementation**: Follow CAPABILITY_INCLUSION_GUIDE.md workflow
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- **After implementation**: Update capability documentation ecosystem
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- **Automated prevention**: Code duplication detection and architectural boundary enforcement
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### Test-Driven Development
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- **Complete TDD infrastructure** with `tddai` Python library
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- **Issue-driven workflow** with workspace management (`tdd-start`, `tdd-add-test`, `tdd-status`, `tdd-finish`)
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- **348+ passing tests** across 27 test files using pytest with proper behavior-based testing
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- **AI-assisted test generation** integrated into development cycle
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- **Green-state validation** before all commits
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### Markdown Feature Support (MF-1 through MF-10)
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Complete specification coverage including:
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- Headings and sections structure
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- Text formatting (bold, italic, strikethrough)
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- Lists (ordered, unordered, task lists)
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- Links, images, and media handling
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- Code blocks and syntax highlighting
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- Tables and complex formatting
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- Footnotes and reference systems
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## Project Status
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### Current State
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- **Capability inclusion management system complete** with comprehensive documentation ecosystem
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- **TDD infrastructure complete** with robust Python library architecture
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- **Issue-driven development workflow** fully operational with capability management integration
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- **Comprehensive test suite** with 348+ passing tests across 27 files
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- **Build system** with sophisticated Makefile and virtual environment integration
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- **AI-assisted development** cycle with capability-aware workspace management
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- **Enterprise-grade architecture** with automated duplication prevention
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### Social Integration
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- **CoulombSocial participation** since September 2025
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- **Gitea issues integration** with API-driven workflow management
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- **Open-source development** model with collaborative wiki
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- **Issue-to-test automation** for structured development cycles
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- **Capability-driven collaboration** with clear architectural boundaries
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## Technical Foundation
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### Development Tools
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- **Python 3.8+** with modern tooling (Black, Ruff, mypy, pytest)
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- **Make-based workflow** with intelligent environment detection and capability management integration
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- **Git submodules** for wiki documentation and issue-facade management
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- **tddai library** for complete TDD workspace automation
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- **Capability discovery tools** with automated duplication prevention
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- **Issue management** with Gitea API integration and CLI tools
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- **Custom subagent ecosystem** enhanced with capability inclusion workflow
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- **Automated dependency management** with comprehensive installation scripts
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### Brand Identity
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- **Professional visual identity** with 3D "M" logo incorporating Markdown symbols
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- **Color palette**: Deep teal/navy (primary), vibrant orange, lime green
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- **Core pillars**: Structural Integrity, Consistency, Reusability, Automation, Capability Management
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## Repository Structure
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```
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markitect_project/
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├── markitect/ # Main Python package
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├── tddai/ # TDD infrastructure library
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├── tests/ # Comprehensive test suite (348+ tests across 27 files)
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├── issue-facade/ # Git submodule for issue management
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├── wiki/ # Git submodule with comprehensive documentation
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│
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├── CAPABILITIES.md # Internal capabilities inventory (73+ capabilities)
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├── CAPABILITY_REGISTRY.md # External capabilities registry
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├── CAPABILITY_INCLUSION_GUIDE.md # Workflow guide for capability management
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├── CAPABILITY_DOCUMENTATION_INDEX.md # Navigation hub for capability docs
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├── CLAUDE_CAPABILITY_REFERENCE.md # AI assistant quick reference
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│
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├── agents/ # Enhanced project management agents
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├── Makefile # Development workflow with capability management
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├── pyproject.toml # Python package configuration
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├── NEXT.md # Next session priorities and strategy
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├── history/ProjectDiary.md # Development milestone tracking
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└── README.md # Project overview with capability links
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```
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## Getting Started
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1. **Environment Setup:**
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```bash
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sudo ./install-depends.sh # Install system dependencies (Ubuntu 24.04)
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./install-pip.sh # Install Python dependencies and package
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make venv-status # Check environment activation state
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```
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2. **Development Workflow:**
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```bash
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make test # Run comprehensive test suite (348+ tests)
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make update # Pull latest changes from upstream
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make status # Check git status
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```
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3. **Capability Management (NEW):**
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```bash
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make capability-search TERM=xyz # Find existing functionality
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make find-capability TERM=xyz # Alternative search method
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# Before implementing, check CAPABILITIES.md and CAPABILITY_REGISTRY.md
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```
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4. **TDD Workflow:**
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```bash
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make tdd-start NUM=X # Start working on issue X
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make tdd-add-test # Generate tests for current issue
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make tdd-status # Check workspace status
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make tdd-finish # Complete issue and integrate tests
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```
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5. **Issue Management:**
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```bash
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make list-issues # Show all Gitea issues
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make list-open-issues # Show active backlog
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make show-issue NUM=X # Detailed issue view
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make test-coverage NUM=X # Analyze test coverage for issue
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```
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6. **Building:**
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```bash
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make build # Build the package
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make clean # Clean build artifacts
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```
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---
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MarkiTect represents a significant evolution toward treating documentation as **structured, validatable, and reusable data** rather than simple text files, with robust tooling for large-scale content management, automation, and **enterprise-grade capability inclusion management** that prevents code duplication and ensures architectural clarity.
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> **Note:** This digest is maintained using Claude Code with capability-aware development workflows. Run `make update-digest` to refresh with latest project information. |