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2025-11-12 11:19:48 +01:00

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# CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
---
## Project Overview
**ClaudeForge** is a comprehensive toolkit for automated CLAUDE.md creation, enhancement, and maintenance for Claude Code projects. The repository consists of three integrated components:
1. **Skill** (`claudeforge-skill`) - Core Python modules for analysis, generation, and validation
2. **Slash Command** (`/enhance-claude-md`) - Interactive multi-phase discovery workflow
3. **Guardian Agent** (`claude-md-guardian`) - Background maintenance agent
---
## Architecture
### Component Interaction Flow
```
User Project
/enhance-claude-md (Slash Command)
[Phase 1: Discovery] → [Phase 2: Analysis] → [Phase 3: Task]
claude-md-guardian (Agent) OR Direct Skill Invocation
claudeforge-skill (Python Modules)
workflow.py → analyzer.py → validator.py → template_selector.py → generator.py
CLAUDE.md Created/Updated with 100% Native Format
```
### Python Module Architecture
The skill consists of 5 core modules (~2,190 lines):
**workflow.py (432 lines)** - `InitializationWorkflow` class
- Orchestrates interactive initialization for new projects
- Methods: `check_claude_md_exists()`, `generate_exploration_prompt()`, `analyze_discoveries()`
- Detects: project type, tech stack, team size, development phase, workflows
- Returns: Project context dictionary for template selection
**analyzer.py (382 lines)** - `CLAUDEMDAnalyzer` class
- Analyzes existing CLAUDE.md files
- Methods: `analyze_file()`, `detect_sections()`, `calculate_quality_score()`, `generate_recommendations()`
- Quality scoring: 0-100 based on length (25pts), completeness (25pts), formatting (20pts), specificity (15pts), modularity (15pts)
- Returns: Analysis report with quality score and actionable recommendations
**validator.py (429 lines)** - `BestPracticesValidator` class
- Validates against Anthropic guidelines
- Methods: `validate_length()`, `validate_structure()`, `validate_formatting()`, `validate_completeness()`, `validate_all()`
- Checks: file length (20-300 lines), required sections, markdown formatting, anti-patterns
- Returns: Validation report with pass/fail status and detailed issues
**template_selector.py (467 lines)** - `TemplateSelector` class
- Selects appropriate template based on context
- Methods: `select_template()`, `customize_template()`, `recommend_modular_structure()`
- Logic: Maps project type + team size → template complexity
- Returns: Template configuration with target line count and modular recommendation
**generator.py (480 lines)** - `ContentGenerator` class
- Generates new or enhanced CLAUDE.md content
- Methods: `generate_root_file()`, `generate_context_file()`, `generate_section()`, `merge_with_existing()`
- Supports: Root files, context-specific files (backend/, frontend/, database/), individual sections
- Returns: Complete CLAUDE.md content with 100% native format compliance
### Critical Validation Rule
All generated CLAUDE.md files MUST include:
- Project structure (ASCII tree diagram)
- File structure explanations
- Setup & installation instructions
- Architecture section (for complex projects)
- Validation against `/update-claude-md` slash command format
- Cross-check against reference examples in `skill/examples/`
---
## Installation & Testing
### Test Installation Scripts
```bash
# macOS/Linux
./install.sh
# Choose option 1 (user-level) or 2 (project-level)
# Verify installation at ~/.claude/ or ./.claude/
# Windows
.\install.ps1
# Same options as above
# Verify components installed:
ls -la ~/.claude/skills/claudeforge-skill/
ls -la ~/.claude/commands/enhance-claude-md/
ls -la ~/.claude/agents/claude-md-guardian.md
```
### Directory Structure After Installation
```
~/.claude/ # User-level installation
├── skills/
│ └── claudeforge-skill/ # Copied from skill/
│ ├── SKILL.md
│ ├── analyzer.py
│ ├── validator.py
│ ├── generator.py
│ ├── template_selector.py
│ ├── workflow.py
│ └── examples/ # 7 reference templates
├── commands/
│ └── enhance-claude-md/ # Copied from command/
│ └── enhance-claude-md.md
└── agents/
└── claude-md-guardian.md # Copied from agent/
```
---
## Development Workflow
### Modifying Python Modules
When updating skill modules (analyzer.py, generator.py, etc.):
1. Edit files in `skill/` directory
2. Test changes by reinstalling: `./install.sh` (choose option 2 for project-level testing)
3. Test skill invocation in Claude Code: `/enhance-claude-md`
4. Validate output against reference examples in `skill/examples/`
5. Update `CHANGELOG.md` with changes
### Modifying Slash Command
When updating `/enhance-claude-md` command:
1. Edit `command/enhance-claude-md.md`
2. Key sections to modify:
- **Phase 1 (Discovery)**: Bash commands that check project state
- **Phase 2 (Analysis)**: Logic that determines initialize vs. enhance
- **Phase 3 (Task)**: Skill/agent invocation logic
3. Test by reinstalling command: `cp command/enhance-claude-md.md ~/.claude/commands/enhance-claude-md/`
4. Restart Claude Code and test: `/enhance-claude-md`
### Modifying Guardian Agent
When updating `claude-md-guardian` agent:
1. Edit `agent/claude-md-guardian.md`
2. Key YAML frontmatter fields:
- `tools`: Limited to Bash, Read, Write, Edit, Grep, Glob, Skill
- `model`: Set to `haiku` for token efficiency
- `color`: Visual indicator (purple)
3. Agent workflow phases:
- Phase 1: Assessment (check git changes)
- Phase 2: Analysis (determine scope)
- Phase 3: Update (invoke skill for targeted updates)
4. Test: `cp agent/claude-md-guardian.md ~/.claude/agents/`
### Adding New Templates
To add a new reference template (e.g., Rust, mobile):
1. Create new template file in `skill/examples/`
2. Follow native format structure:
- Project structure diagram (ASCII tree)
- Setup & installation
- Architecture section
- Tech-specific guidelines
3. Update `skill/examples/README.md` with new template description
4. Update `template_selector.py` logic to detect when to use new template
5. Add test case in `skill/sample_input.json`
---
## Testing & Validation
### Manual Testing Checklist
**Test New Project Initialization:**
```bash
# 1. Create test project
mkdir test-project && cd test-project
git init
npm init -y # or create package.json
# 2. Run slash command
/enhance-claude-md
# 3. Verify Claude:
# - Explores repository
# - Detects TypeScript/Node project
# - Shows discoveries
# - Asks for confirmation
# - Creates CLAUDE.md with native format
```
**Test Existing Project Enhancement:**
```bash
# 1. Create basic CLAUDE.md
echo "# CLAUDE.md\n\n## Tech Stack\n- TypeScript" > CLAUDE.md
# 2. Run slash command
/enhance-claude-md
# 3. Verify Claude:
# - Analyzes existing file
# - Calculates quality score (0-100)
# - Identifies missing sections (Project Structure, Setup, etc.)
# - Asks to enhance
# - Adds missing native format sections
```
**Test Guardian Agent:**
```bash
# 1. Make significant changes
npm install react # Add new dependency
mkdir src/components # New directory
# 2. Start new Claude Code session (triggers SessionStart)
# 3. Verify agent:
# - Detects changes via git diff
# - Updates CLAUDE.md automatically
# - Reports: "Tech Stack: Added react", "Project Structure: Updated diagram"
```
### Quality Validation
All generated CLAUDE.md files should pass these checks:
```python
# Use validator.py
validator = BestPracticesValidator(content)
results = validator.validate_all()
# Expected passes:
# - File length: 20-300 lines (or modular if >300)
# - Structure: Required sections present
# - Formatting: Valid markdown, proper heading hierarchy
# - Completeness: Code examples, tech stack, workflows
# - Anti-patterns: No hardcoded secrets, no TODOs/placeholders
```
---
## File Organization
### Repository Structure
```
ClaudeForge/
├── skill/ # Python modules (core capability)
│ ├── analyzer.py # File analysis
│ ├── validator.py # Best practices validation
│ ├── generator.py # Content generation
│ ├── template_selector.py # Template selection logic
│ ├── workflow.py # Interactive initialization
│ ├── SKILL.md # Skill definition (YAML frontmatter)
│ ├── sample_input.json # Test scenarios (6 examples)
│ ├── expected_output.json # Expected outputs
│ └── examples/ # 7 reference templates
├── command/ # Slash command definition
│ ├── enhance-claude-md.md # Multi-phase workflow
│ └── README.md
├── agent/ # Guardian agent definition
│ ├── claude-md-guardian.md # Background maintenance agent
│ └── README.md
├── docs/ # Documentation
│ ├── INSTALLATION.md
│ ├── QUICK_START.md
│ ├── ARCHITECTURE.md
│ ├── TROUBLESHOOTING.md
│ └── CONTRIBUTING.md
├── examples/ # Usage examples (markdown)
├── hooks/ # Quality hooks (pre-commit)
├── .github/ # GitHub templates & workflows
│ ├── workflows/validate.yml # CI/CD validation
│ ├── ISSUE_TEMPLATE/
│ ├── PULL_REQUEST_TEMPLATE.md
│ └── CODE_OF_CONDUCT.md
├── install.sh # macOS/Linux installer
├── install.ps1 # Windows installer
├── README.md # Project overview
├── CHANGELOG.md # Version history
├── LICENSE # MIT License
└── CLAUDE.md # This file
```
### Important: Dual Directory Structure
Note the duplication: `claude-md-enhancer/` (legacy) and `skill/` (current). When making changes:
- **Always edit `skill/`** - This is the active version used by installers
- `claude-md-enhancer/` is kept for reference but not actively maintained
---
## Common Operations
### Update Reference Templates
```bash
# Edit template
vim skill/examples/python-api-CLAUDE.md
# Test template selection
# 1. Create test project matching template criteria
mkdir test-python-api && cd test-python-api
echo "fastapi" > requirements.txt
# 2. Run slash command and verify template is used
/enhance-claude-md
```
### Update Quality Scoring Logic
```bash
# Edit analyzer.py
vim skill/analyzer.py
# Update calculate_quality_score() method
# Current scoring breakdown:
# - length_appropriateness: 25 points (20-300 lines ideal)
# - section_completeness: 25 points (required sections present)
# - formatting_quality: 20 points (markdown, headings, code blocks)
# - content_specificity: 15 points (project-specific, not generic)
# - modular_organization: 15 points (context files if needed)
# Test scoring
python3 -c "
from skill.analyzer import CLAUDEMDAnalyzer
with open('test-CLAUDE.md') as f:
analyzer = CLAUDEMDAnalyzer(f.read())
report = analyzer.analyze_file()
print(f'Quality Score: {report[\"quality_score\"]}/100')
"
```
### Update Installer Scripts
```bash
# Edit installer
vim install.sh # or install.ps1
# Key sections:
# - Installation paths (user-level vs project-level)
# - Component copying (skill, command, agent)
# - Backup logic (existing installations)
# - Quality hooks installation (optional)
# Test installer
./install.sh
# Choose test option and verify all components copied correctly
```
---
## Integration Points
### Skill ↔ Slash Command
The slash command invokes the skill via:
```markdown
# In command/enhance-claude-md.md, Phase 3:
I can invoke the `claude-md-enhancer` skill directly to handle the appropriate workflow based on what I discovered above.
```
Claude Code recognizes the skill name `claude-md-enhancer` and calls Python modules.
### Skill ↔ Guardian Agent
The agent uses the skill as its core capability:
```yaml
# In agent/claude-md-guardian.md:
tools: Bash, Read, Write, Edit, Grep, Glob, Skill
```
Agent invokes skill with: `Skill: claude-md-enhancer` in agent workflow.
### Agent ↔ Git
Agent detects changes via git commands:
```bash
git diff --name-status HEAD~10
git log --since="1 week ago" --oneline --no-merges
git diff HEAD~10 -- package.json requirements.txt
```
Triggers update when:
- 5+ files modified
- New dependencies added
- New directories created
- Manual invocation after milestone
---
## Tech Stack Detection Logic
The workflow and template selector detect tech stacks via:
**Frontend Detection:**
- React: `package.json` contains `"react"`
- Vue: `package.json` contains `"vue"`
- Angular: `angular.json` exists
- TypeScript: `tsconfig.json` exists
**Backend Detection:**
- Node.js: `package.json` exists
- Python: `requirements.txt`, `pyproject.toml`, `setup.py`
- Go: `go.mod` exists
- Java: `pom.xml`, `build.gradle`
- Rust: `Cargo.toml` exists
**Database Detection:**
- PostgreSQL: `package.json` or `requirements.txt` contains "pg" or "psycopg2"
- MongoDB: Contains "mongoose" or "pymongo"
- Redis: Contains "redis" or "ioredis"
Update detection logic in: `skill/workflow.py``_detect_tech_stack()` method
---
## Repository Naming
**Project Name:** ClaudeForge
**GitHub URL:** https://github.com/alirezarezvani/ClaudeForge
**Skill Name:** `claudeforge-skill` (installed as directory name)
**Slash Command:** `/enhance-claude-md` (fixed name, cannot be changed by user)
**Agent Name:** `claude-md-guardian` (file name)
When updating references:
- `skill/SKILL.md` → YAML frontmatter `name: claude-md-enhancer` (kept for compatibility)
- `README.md` → Use "ClaudeForge" as display name
- `install.sh` → Copies to `claudeforge-skill/` directory
- Internal documentation → Use "ClaudeForge" consistently
---
## Version Management
**Current Version:** 1.0.0 (see CHANGELOG.md)
**Versioning:** Semantic Versioning (MAJOR.MINOR.PATCH)
When releasing new version:
1. Update `CHANGELOG.md` with changes under new version header
2. Update version in `README.md` badge
3. Update version in `skill/SKILL.md` bottom section
4. Create git tag: `git tag -a v1.1.0 -m "Release v1.1.0"`
5. Push tag: `git push origin v1.1.0`
6. Create GitHub release with CHANGELOG excerpt
---
## License & Copyright
**License:** MIT License
**Copyright:** © 2025 Alireza Rezvani
All files should include appropriate copyright headers. The LICENSE file is authoritative.