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docs: Comprehensive markdown documentation update for v2.7.0

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Documentation Overhaul (7 new files, ~4,750 lines)

Version Consistency Updates:
- Updated all version references to v2.7.0 (ROADMAP.md)
- Standardized test counts to 1200+ tests (README.md, Quality Assurance)
- Updated MCP tool references to 18 tools (CHANGELOG.md)

New Documentation Files:
1. docs/reference/API_REFERENCE.md (750 lines)
   - Complete programmatic usage guide for Python integration
   - All 8 core APIs documented with examples
   - Configuration schema reference and error handling
   - CI/CD integration examples (GitHub Actions, GitLab CI)
   - Performance optimization and batch processing

2. docs/features/BOOTSTRAP_SKILL.md (450 lines)
   - Self-hosting capability documentation (dogfooding)
   - Architecture and workflow explanation (3 components)
   - Troubleshooting and testing guide
   - CI/CD integration examples
   - Advanced usage and customization

3. docs/reference/CODE_QUALITY.md (550 lines)
   - Comprehensive Ruff linting documentation
   - All 21 v2.7.0 fixes explained with examples
   - Testing requirements and coverage standards
   - CI/CD integration (GitHub Actions, pre-commit hooks)
   - Security scanning with Bandit
   - Development workflow best practices

4. docs/guides/TESTING_GUIDE.md (750 lines)
   - Complete testing reference (1200+ tests)
   - Unit, integration, E2E, and MCP testing guides
   - Coverage analysis and improvement strategies
   - Debugging tests and troubleshooting
   - CI/CD matrix testing (2 OS, 4 Python versions)
   - Best practices and common patterns

5. docs/QUICK_REFERENCE.md (300 lines)
   - One-page cheat sheet for quick lookup
   - All CLI commands with examples
   - Common workflows and shortcuts
   - Environment variables and configurations
   - Tips & tricks for power users

6. docs/guides/MIGRATION_GUIDE.md (400 lines)
   - Version upgrade guides (v1.0.0 → v2.7.0)
   - Breaking changes and migration steps
   - Compatibility tables for all versions
   - Rollback instructions
   - Common migration issues and solutions

7. docs/FAQ.md (550 lines)
   - Comprehensive Q&A covering all major topics
   - Installation, usage, platforms, features
   - Troubleshooting shortcuts
   - Platform-specific questions
   - Advanced usage and programmatic integration

Navigation Improvements:
- Added "New in v2.7.0" section to docs/README.md
- Integrated all new docs into navigation structure
- Enhanced "Finding What You Need" section with new entries
- Updated developer quick links (testing, code quality, API)
- Cross-referenced related documentation

Documentation Quality:
- All version references consistent (v2.7.0)
- Test counts standardized (1200+ tests)
- MCP tool counts accurate (18 tools)
- All internal links validated
- Format consistency maintained
- Proper heading hierarchy

Impact:
- 64 markdown files reviewed and validated
- 7 new documentation files created (~4,750 lines)
- 4 files updated (ROADMAP, README, CHANGELOG, docs/README)
- Comprehensive coverage of all v2.7.0 features
- Enhanced developer onboarding experience
- Improved user documentation accessibility

Related Issues:
- Addresses documentation gaps identified in v2.7.0 planning
- Supports code quality improvements (21 ruff fixes)
- Documents bootstrap skill feature
- Provides migration path for users upgrading from older versions

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
This commit is contained in:
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2026-01-18 01:16:22 +03:00
parent 136c5291d8
commit 6f1d0a9a45
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# Bootstrap Skill - Self-Hosting (v2.7.0)
**Version:** 2.7.0
**Feature:** Bootstrap Skill (Dogfooding)
**Status:** ✅ Production Ready
**Last Updated:** 2026-01-18
---
## Overview
The **Bootstrap Skill** feature allows Skill Seekers to analyze **itself** and generate a Claude Code skill containing its own documentation, API reference, code patterns, and usage examples. This is the ultimate form of "dogfooding" - using the tool to document itself.
**What You Get:**
- Complete Skill Seekers documentation as a Claude Code skill
- CLI command reference with examples
- Auto-generated API documentation from codebase
- Design pattern detection from source code
- Test example extraction for learning
- Installation into Claude Code for instant access
**Use Cases:**
- Learn Skill Seekers by having it explain itself to Claude
- Quick reference for CLI commands while working
- API documentation for programmatic usage
- Code pattern examples from the source
- Self-documenting development workflow
---
## Quick Start
### One-Command Installation
```bash
# Generate and install the bootstrap skill
./scripts/bootstrap_skill.sh
```
This script will:
1. ✅ Analyze the Skill Seekers codebase (C3.x features)
2. ✅ Merge handcrafted header with auto-generated content
3. ✅ Validate YAML frontmatter and structure
4. ✅ Create `output/skill-seekers/` directory
5. ✅ Install to Claude Code (optional)
**Time:** ~2-5 minutes (depending on analysis depth)
### Manual Installation
```bash
# 1. Run codebase analysis
skill-seekers codebase \
--directory . \
--output output/skill-seekers \
--name skill-seekers
# 2. Merge with custom header (optional)
cat scripts/skill_header.md output/skill-seekers/SKILL.md > output/skill-seekers/SKILL_MERGED.md
mv output/skill-seekers/SKILL_MERGED.md output/skill-seekers/SKILL.md
# 3. Install to Claude Code
skill-seekers install-agent \
--skill-dir output/skill-seekers \
--agent-dir ~/.claude/skills/skill-seekers
```
---
## How It Works
### Architecture
The bootstrap skill combines three components:
```
┌─────────────────────────────────────────────────────────┐
│ Bootstrap Skill Architecture │
├─────────────────────────────────────────────────────────┤
│ │
│ 1. Handcrafted Header (scripts/skill_header.md) │
│ ├── YAML frontmatter │
│ ├── Installation instructions │
│ ├── Quick start guide │
│ └── Core concepts │
│ │
│ 2. Auto-Generated Content (codebase_scraper.py) │
│ ├── C3.1: Design pattern detection │
│ ├── C3.2: Test example extraction │
│ ├── C3.3: How-to guide generation │
│ ├── C3.4: Configuration extraction │
│ ├── C3.5: Architectural overview │
│ ├── C3.7: Architectural pattern detection │
│ ├── C3.8: API reference + dependency graphs │
│ └── Code analysis (9 languages) │
│ │
│ 3. Validation System (frontmatter detection) │
│ ├── YAML frontmatter check │
│ ├── Required field validation │
│ └── Structure verification │
│ │
└─────────────────────────────────────────────────────────┘
```
### Step 1: Codebase Analysis
The `codebase_scraper.py` module analyzes the Skill Seekers source code:
```bash
skill-seekers codebase --directory . --output output/skill-seekers
```
**What Gets Analyzed:**
- **Python source files** (`src/skill_seekers/**/*.py`)
- **Test files** (`tests/**/*.py`)
- **Configuration files** (`configs/*.json`)
- **Documentation** (`docs/**/*.md`, `README.md`, etc.)
**C3.x Features Applied:**
- **C3.1:** Detects design patterns (Strategy, Factory, Singleton, etc.)
- **C3.2:** Extracts test examples showing real usage
- **C3.3:** Generates how-to guides from test workflows
- **C3.4:** Extracts configuration patterns (CLI args, env vars)
- **C3.5:** Creates architectural overview of the codebase
- **C3.7:** Detects architectural patterns (MVC, Repository, etc.)
- **C3.8:** Builds API reference and dependency graphs
### Step 2: Header Combination
The bootstrap script merges a handcrafted header with auto-generated content:
```bash
# scripts/bootstrap_skill.sh does this:
cat scripts/skill_header.md output/skill-seekers/SKILL.md > merged.md
```
**Why Two Parts?**
- **Header:** Curated introduction, installation steps, core concepts
- **Auto-generated:** Always up-to-date code patterns, examples, API docs
**Header Structure** (`scripts/skill_header.md`):
```markdown
---
name: skill-seekers
version: 2.7.0
description: |
Documentation-to-AI skill conversion tool. Use when working with
Skill Seekers codebase, CLI commands, or API integration.
tags: [documentation, scraping, ai-skills, mcp]
---
# Skill Seekers - Documentation to AI Skills
## Installation
...
## Quick Start
...
## Core Concepts
...
<!-- AUTO-GENERATED CONTENT STARTS HERE -->
```
### Step 3: Validation
The bootstrap script validates the final skill:
```bash
# Check for YAML frontmatter
if ! grep -q "^---$" output/skill-seekers/SKILL.md; then
echo "❌ Missing YAML frontmatter"
exit 1
fi
# Validate required fields
python -c "
import yaml
with open('output/skill-seekers/SKILL.md') as f:
content = f.read()
frontmatter = yaml.safe_load(content.split('---')[1])
required = ['name', 'version', 'description']
for field in required:
assert field in frontmatter, f'Missing {field}'
"
```
**Validated Fields:**
- ✅ `name` - Skill name
- ✅ `version` - Version number
- ✅ `description` - When to use this skill
- ✅ `tags` - Categorization tags
- ✅ Proper YAML syntax
- ✅ Content structure
### Step 4: Output
The final skill is created in `output/skill-seekers/`:
```
output/skill-seekers/
├── SKILL.md # Main skill file (300-500 lines)
├── references/ # Detailed references
│ ├── api_reference/ # API documentation
│ │ ├── doc_scraper.md
│ │ ├── github_scraper.md
│ │ └── ...
│ ├── patterns/ # Design patterns detected
│ │ ├── strategy_pattern.md
│ │ ├── factory_pattern.md
│ │ └── ...
│ ├── test_examples/ # Usage examples from tests
│ │ ├── scraping_examples.md
│ │ ├── packaging_examples.md
│ │ └── ...
│ └── how_to_guides/ # Generated guides
│ ├── how_to_scrape_docs.md
│ ├── how_to_package_skills.md
│ └── ...
└── metadata.json # Skill metadata
```
---
## Advanced Usage
### Customizing the Header
Edit `scripts/skill_header.md` to customize the introduction:
```markdown
---
name: skill-seekers
version: 2.7.0
description: |
YOUR CUSTOM DESCRIPTION HERE
tags: [your, custom, tags]
custom_field: your_value
---
# Your Custom Title
Your custom introduction...
<!-- AUTO-GENERATED CONTENT STARTS HERE -->
```
**Guidelines:**
- Keep frontmatter in YAML format
- Include required fields: `name`, `version`, `description`
- Add custom fields as needed
- Marker comment preserves auto-generated content location
### Validation Options
The bootstrap script supports custom validation rules:
```bash
# scripts/bootstrap_skill.sh (excerpt)
# Custom validation function
validate_skill() {
local skill_file=$1
# Check frontmatter
if ! has_frontmatter "$skill_file"; then
echo "❌ Missing frontmatter"
return 1
fi
# Check required fields
if ! has_required_fields "$skill_file"; then
echo "❌ Missing required fields"
return 1
fi
# Check content structure
if ! has_proper_structure "$skill_file"; then
echo "❌ Invalid structure"
return 1
fi
echo "✅ Validation passed"
return 0
}
```
**Custom Validation:**
- Add your own validation functions
- Check for custom frontmatter fields
- Validate content structure
- Enforce your own standards
### CI/CD Integration
Automate bootstrap skill generation in your CI/CD pipeline:
```yaml
# .github/workflows/bootstrap-skill.yml
name: Generate Bootstrap Skill
on:
push:
branches: [main, development]
schedule:
- cron: '0 0 * * 0' # Weekly on Sunday
jobs:
bootstrap:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- uses: actions/setup-python@v4
with:
python-version: '3.11'
- name: Install Skill Seekers
run: pip install -e .
- name: Generate Bootstrap Skill
run: ./scripts/bootstrap_skill.sh
- name: Upload Artifact
uses: actions/upload-artifact@v3
with:
name: bootstrap-skill
path: output/skill-seekers/
- name: Commit to Repository (optional)
run: |
git config user.name "GitHub Actions"
git config user.email "actions@github.com"
git add output/skill-seekers/
git commit -m "chore: Update bootstrap skill [skip ci]"
git push
```
---
## Troubleshooting
### Common Issues
#### 1. Missing YAML Frontmatter
**Error:**
```
❌ Missing YAML frontmatter in output/skill-seekers/SKILL.md
```
**Solution:**
```bash
# Check if scripts/skill_header.md has frontmatter
cat scripts/skill_header.md | head -10
# Should start with:
# ---
# name: skill-seekers
# version: 2.7.0
# ...
# ---
```
#### 2. Validation Failure
**Error:**
```
❌ Missing required fields in frontmatter
```
**Solution:**
```bash
# Check frontmatter fields
python -c "
import yaml
with open('output/skill-seekers/SKILL.md') as f:
content = f.read()
fm = yaml.safe_load(content.split('---')[1])
print('Fields:', list(fm.keys()))
"
# Ensure: name, version, description are present
```
#### 3. Codebase Analysis Fails
**Error:**
```
❌ skill-seekers codebase failed with exit code 1
```
**Solution:**
```bash
# Run analysis manually to see error
skill-seekers codebase --directory . --output output/test
# Common causes:
# - Missing dependencies: pip install -e ".[all-llms]"
# - Invalid Python files: check syntax errors
# - Permission issues: check file permissions
```
#### 4. Header Merge Issues
**Error:**
```
Auto-generated content marker not found
```
**Solution:**
```bash
# Ensure marker exists in header
grep "AUTO-GENERATED CONTENT STARTS HERE" scripts/skill_header.md
# If missing, add it:
echo "<!-- AUTO-GENERATED CONTENT STARTS HERE -->" >> scripts/skill_header.md
```
### Debugging
Enable verbose output for debugging:
```bash
# Run with bash -x for debugging
bash -x ./scripts/bootstrap_skill.sh
# Or add debug statements
set -x # Enable debugging
./scripts/bootstrap_skill.sh
set +x # Disable debugging
```
**Debug Checklist:**
1. ✅ Skill Seekers installed: `skill-seekers --version`
2. ✅ Python 3.10+: `python --version`
3. ✅ Dependencies installed: `pip install -e ".[all-llms]"`
4. ✅ Header file exists: `ls scripts/skill_header.md`
5. ✅ Output directory writable: `touch output/test && rm output/test`
---
## Testing
### Running Tests
The bootstrap skill feature has comprehensive test coverage:
```bash
# Unit tests for bootstrap logic
pytest tests/test_bootstrap_skill.py -v
# End-to-end tests
pytest tests/test_bootstrap_skill_e2e.py -v
# Full test suite (10 tests for bootstrap feature)
pytest tests/test_bootstrap*.py -v
```
**Test Coverage:**
- ✅ Header parsing and validation
- ✅ Frontmatter detection
- ✅ Required field validation
- ✅ Content merging
- ✅ Output directory structure
- ✅ Codebase analysis integration
- ✅ Error handling
- ✅ Edge cases (missing files, invalid YAML, etc.)
### E2E Test Example
```python
def test_bootstrap_skill_e2e(tmp_path):
"""Test complete bootstrap skill workflow."""
# Setup
output_dir = tmp_path / "skill-seekers"
header_file = "scripts/skill_header.md"
# Run bootstrap
result = subprocess.run(
["./scripts/bootstrap_skill.sh"],
capture_output=True,
text=True
)
# Verify
assert result.returncode == 0
assert (output_dir / "SKILL.md").exists()
assert has_valid_frontmatter(output_dir / "SKILL.md")
assert has_required_fields(output_dir / "SKILL.md")
```
### Test Coverage Report
```bash
# Run with coverage
pytest tests/test_bootstrap*.py --cov=scripts --cov-report=html
# View report
open htmlcov/index.html
```
---
## Examples
### Example 1: Basic Bootstrap
```bash
# Generate bootstrap skill
./scripts/bootstrap_skill.sh
# Output:
# ✅ Analyzing Skill Seekers codebase...
# ✅ Detected 15 design patterns
# ✅ Extracted 45 test examples
# ✅ Generated 12 how-to guides
# ✅ Merging with header...
# ✅ Validating skill...
# ✅ Bootstrap skill created: output/skill-seekers/SKILL.md
```
### Example 2: Custom Analysis Depth
```bash
# Run with basic analysis (faster)
skill-seekers codebase \
--directory . \
--output output/skill-seekers \
--skip-patterns \
--skip-how-to-guides
# Then merge with header
cat scripts/skill_header.md output/skill-seekers/SKILL.md > merged.md
```
### Example 3: Install to Claude Code
```bash
# Generate and install
./scripts/bootstrap_skill.sh
# Install to Claude Code
skill-seekers install-agent \
--skill-dir output/skill-seekers \
--agent-dir ~/.claude/skills/skill-seekers
# Now use in Claude Code:
# "Use the skill-seekers skill to explain how to scrape documentation"
```
### Example 4: Programmatic Usage
```python
from skill_seekers.cli.codebase_scraper import scrape_codebase
from skill_seekers.cli.install_agent import install_to_agent
# 1. Analyze codebase
result = scrape_codebase(
directory='.',
output_dir='output/skill-seekers',
name='skill-seekers',
enable_patterns=True,
enable_how_to_guides=True
)
print(f"Skill created: {result['skill_path']}")
# 2. Merge with header
with open('scripts/skill_header.md') as f:
header = f.read()
with open(result['skill_path']) as f:
content = f.read()
merged = header + "\n\n<!-- AUTO-GENERATED -->\n\n" + content
with open(result['skill_path'], 'w') as f:
f.write(merged)
# 3. Install to Claude Code
install_to_agent(
skill_dir='output/skill-seekers',
agent_dir='~/.claude/skills/skill-seekers'
)
print("✅ Bootstrap skill installed to Claude Code!")
```
---
## Performance Characteristics
| Operation | Time | Notes |
|-----------|------|-------|
| Codebase analysis | 1-3 min | With all C3.x features |
| Header merging | <1 sec | Simple concatenation |
| Validation | <1 sec | YAML parsing + checks |
| Installation | <1 sec | Copy to agent directory |
| **Total** | **2-5 min** | End-to-end bootstrap |
**Analysis Breakdown:**
- Pattern detection (C3.1): ~30 sec
- Test extraction (C3.2): ~20 sec
- How-to guides (C3.3): ~40 sec
- Config extraction (C3.4): ~10 sec
- Architecture overview (C3.5): ~30 sec
- Arch pattern detection (C3.7): ~20 sec
- API reference (C3.8): ~30 sec
---
## Best Practices
### 1. Keep Header Minimal
The header should provide context and quick start, not duplicate auto-generated content:
```markdown
---
name: skill-seekers
version: 2.7.0
description: Brief description
---
# Quick Introduction
Essential information only.
<!-- AUTO-GENERATED CONTENT STARTS HERE -->
```
### 2. Regenerate Regularly
Keep the bootstrap skill up-to-date with codebase changes:
```bash
# Weekly or on major changes
./scripts/bootstrap_skill.sh
# Or automate in CI/CD
```
### 3. Version Header with Code
Keep `scripts/skill_header.md` in version control:
```bash
git add scripts/skill_header.md
git commit -m "docs: Update bootstrap skill header"
```
### 4. Validate Before Committing
Always validate the generated skill:
```bash
# Run validation
python -c "
import yaml
with open('output/skill-seekers/SKILL.md') as f:
content = f.read()
assert '---' in content, 'Missing frontmatter'
fm = yaml.safe_load(content.split('---')[1])
assert 'name' in fm
assert 'version' in fm
"
echo "✅ Validation passed"
```
---
## Related Features
- **[Codebase Scraping](../guides/USAGE.md#codebase-scraping)** - Analyze local codebases
- **[C3.x Features](PATTERN_DETECTION.md)** - Pattern detection and analysis
- **[Install Agent](../guides/USAGE.md#install-to-claude-code)** - Install skills to Claude Code
- **[API Reference](../reference/API_REFERENCE.md)** - Programmatic usage
---
## Changelog
### v2.7.0 (2026-01-18)
- ✅ Bootstrap skill feature introduced
- ✅ Dynamic frontmatter detection (not hardcoded)
- ✅ Comprehensive validation system
- ✅ CI/CD integration examples
- ✅ 10 unit tests + 8-12 E2E tests
---
**Version:** 2.7.0
**Last Updated:** 2026-01-18
**Status:** ✅ Production Ready