docs: Consolidate roadmaps and refactor documentation structure

MAJOR REFACTORING: Merge 3 roadmap files into single comprehensive ROADMAP.md

Changes:
- Merged ROADMAP.md + FLEXIBLE_ROADMAP.md + FUTURE_RELEASES.md → ROADMAP.md
- Consolidated 1,008 lines across 3 files into 429 lines (single source of truth)
- Removed duplicate/overlapping content
- Cleaned up docs archive structure

New ROADMAP.md Structure:
- Current Status (v2.6.0)
- Development Philosophy (task-based approach)
- Task-Based Roadmap (136 tasks, 10 categories)
- Release History (v1.0.0, v2.1.0, v2.6.0)
- Release Planning (v2.7-v2.9)
- Long-term Vision (v3.0+)
- Metrics & Goals
- Contribution guidelines

Deleted Files:
- FLEXIBLE_ROADMAP.md (merged into ROADMAP.md)
- FUTURE_RELEASES.md (merged into ROADMAP.md)
- docs/archive/temp/TERMINAL_SELECTION.md (temporary file)
- docs/archive/temp/TESTING.md (temporary file)

Moved Files:
- docs/plans/*.md → docs/archive/plans/ (dated planning docs)

Updated References:
- CLAUDE.md: FLEXIBLE_ROADMAP.md → ROADMAP.md
- docs/README.md: Removed duplicate roadmap references
- CHANGELOG.md: Updated documentation references

Benefits:
- Single source of truth for roadmap
- No duplicate maintenance
- Cleaner repository structure
- Better discoverability
- Historical context preserved in archive/

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
This commit is contained in:
yusyus
2026-01-14 22:36:03 +03:00
parent 7d56cc83b9
commit 48b8544dea
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@@ -1246,7 +1246,7 @@ This is a major milestone release featuring complete restructuring for modern Py
#### Documentation
- **Updated README.md** - PyPI badges, reordered installation options
- **FUTURE_RELEASES.md** - Roadmap for upcoming features
- **ROADMAP.md** - Comprehensive roadmap with task-based approach
- **Installation guides** - Simplified with PyPI as primary method
- **Testing documentation** - How to run full test suite

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@@ -618,7 +618,7 @@ pytest tests/test_file.py --cov=src/skill_seekers --cov-report=term-missing
**For Developers:**
- [CHANGELOG.md](CHANGELOG.md) - Release history
- [FLEXIBLE_ROADMAP.md](FLEXIBLE_ROADMAP.md) - 134 tasks across 22 feature groups
- [ROADMAP.md](ROADMAP.md) - 136 tasks across 10 categories
- [docs/UNIFIED_SCRAPING.md](docs/UNIFIED_SCRAPING.md) - Multi-source scraping
- [docs/MCP_SETUP.md](docs/MCP_SETUP.md) - MCP server setup
- [docs/ENHANCEMENT_MODES.md](docs/ENHANCEMENT_MODES.md) - AI enhancement modes

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@@ -1,450 +0,0 @@
# Flexible Development Roadmap
**Philosophy:** Small incremental tasks → Pick one → Complete → Move to next
**No big milestones, just continuous progress!**
---
## 🎯 Current Status: v2.1.0 Released ✅
**Latest Release:** v2.1.0 (November 29, 2025)
**What Works:**
- ✅ Documentation scraping (HTML websites)
- ✅ GitHub repository scraping with unlimited local analysis
- ✅ PDF extraction and conversion
- ✅ Unified multi-source scraping (docs + GitHub + PDF)
- ✅ 9 MCP tools fully functional
- ✅ Auto-upload to Claude
- ✅ 24 preset configs (including 5 unified configs)
- ✅ Large docs support (40K+ pages)
- ✅ Configurable directory exclusions
- ✅ 427 tests passing
---
## 📋 Task Categories (Pick Any, Any Order)
### 🌐 **Category A: Community & Sharing**
Small tasks that build community features incrementally
#### A1: Config Sharing (Website Feature)
- [x] **Task A1.1:** Create simple JSON API endpoint to list configs ✅ **COMPLETE** (Issue #9)
- **Status:** Live at https://api.skillseekersweb.com
- **Features:** 6 REST endpoints, auto-categorization, auto-tags, filtering, SSL enabled
- **Branch:** `feature/a1-config-sharing`
- **Deployment:** Render with custom domain
- [x] **Task A1.2:** Add MCP tool `fetch_config` to download from website ✅ **COMPLETE**
- **Status:** Implemented in MCP server
- **Features:** List 24 configs, filter by category, download by name, save to local directory
- **Commands:** `list_available=true`, `category='web-frameworks'`, `config_name='react'`
- **Branch:** `feature/a1-config-sharing`
- [ ] **Task A1.3:** Add MCP tool `submit_config` to submit custom configs (Issue #11)
- **Purpose:** Allow users to submit custom configs via MCP (creates GitHub issue)
- **Features:** Validate config JSON, create GitHub issue, auto-label, return issue URL
- **Approach:** GitHub Issues backend (safe, uses GitHub auth/spam detection)
- **Time:** 2-3 hours
- [ ] **Task A1.4:** Create static config catalog website (GitHub Pages) (Issue #12)
- **Purpose:** Read-only catalog to browse/search configs (like npm registry)
- **Features:** Static HTML/JS, pulls from API, search/filter, copy JSON button
- **Architecture:** Website = browse, MCP = download/submit/manage
- **Time:** 2-3 hours
- [ ] **Task A1.5:** Add config rating/voting system (Issue #13)
- **Purpose:** Community feedback on config quality
- **Features:** Star ratings, vote counts, sort by rating, "most popular" section
- **Options:** GitHub reactions, backend database, or localStorage
- **Time:** 3-4 hours
- [ ] **Task A1.6:** Admin review queue for submitted configs (Issue #14)
- **Purpose:** Review community-submitted configs before publishing
- **Approach:** Use GitHub Issues with labels (no custom code needed)
- **Workflow:** Review → Validate → Test → Approve/Reject
- **Time:** 1-2 hours (GitHub Issues) or 4-6 hours (custom dashboard)
- [x] **Task A1.7:** Add MCP tool `install_skill` for one-command workflow (Issue #204) ✅ **COMPLETE!**
- **Purpose:** Complete one-command workflow: fetch → scrape → **enhance** → package → upload
- **Features:** Single command install, smart config detection, automatic AI enhancement (LOCAL)
- **Workflow:** fetch_config → scrape_docs → enhance_skill_local → package_skill → upload_skill
- **Critical:** Always includes AI enhancement step (30-60 sec, 3/10→9/10 quality boost)
- **Time:** 3-4 hours
- **Completed:** December 21, 2025 - 10 tools total, 13 tests passing, full automation working
- [ ] **Task A1.8:** Add smart skill detection and auto-install (Issue #205)
- **Purpose:** Auto-detect missing skills from user queries and offer to install them
- **Features:** Topic extraction, skill gap analysis, API search, smart suggestions
- **Modes:** Ask first (default), Auto-install, Suggest only, Manual
- **Example:** User asks about React → Claude detects → Suggests installing React skill
- **Time:** 4-6 hours
**Start Small:** ~~Pick A1.1 first (simple JSON endpoint)~~ ✅ A1.1 Complete! ~~Pick A1.2 next (MCP tool)~~ ✅ A1.2 Complete! Pick A1.3 next (MCP submit tool)
#### A2: Knowledge Sharing (Website Feature)
- [ ] **Task A2.1:** Design knowledge database schema
- [ ] **Task A2.2:** Create API endpoint to upload knowledge (.zip files)
- [ ] **Task A2.3:** Add MCP tool `fetch_knowledge` to download from site
- [ ] **Task A2.4:** Add knowledge preview/description
- [ ] **Task A2.5:** Add knowledge categorization (by framework/topic)
- [ ] **Task A2.6:** Add knowledge search functionality
**Start Small:** Pick A2.1 first (schema design, no coding)
#### A3: Simple Website Foundation
- [ ] **Task A3.1:** Create single-page static site (GitHub Pages)
- [ ] **Task A3.2:** Add config gallery view (display existing 12 configs)
- [ ] **Task A3.3:** Add "Submit Config" link (opens GitHub issue for now)
- [ ] **Task A3.4:** Add basic stats (total configs, downloads, etc.)
- [ ] **Task A3.5:** Add simple blog using GitHub Issues
- [ ] **Task A3.6:** Add RSS feed for updates
**Start Small:** Pick A3.1 first (single HTML page on GitHub Pages)
---
### 🛠️ **Category B: New Input Formats**
Add support for non-HTML documentation sources
#### B1: PDF Documentation Support
- [ ] **Task B1.1:** Research PDF parsing libraries (PyPDF2, pdfplumber, etc.)
- [ ] **Task B1.2:** Create simple PDF text extractor (proof of concept)
- [ ] **Task B1.3:** Add PDF page detection and chunking
- [ ] **Task B1.4:** Extract code blocks from PDFs (syntax detection)
- [ ] **Task B1.5:** Add PDF image extraction (diagrams, screenshots)
- [ ] **Task B1.6:** Create `pdf_scraper.py` CLI tool
- [ ] **Task B1.7:** Add MCP tool `scrape_pdf`
- [ ] **Task B1.8:** Create PDF config format (similar to web configs)
**Start Small:** Pick B1.1 first (just research, document findings)
#### B2: Microsoft Word (.docx) Support
- [ ] **Task B2.1:** Research .docx parsing (python-docx library)
- [ ] **Task B2.2:** Create simple .docx text extractor
- [ ] **Task B2.3:** Extract headings and create categories
- [ ] **Task B2.4:** Extract code blocks from Word docs
- [ ] **Task B2.5:** Extract tables and convert to markdown
- [ ] **Task B2.6:** Create `docx_scraper.py` CLI tool
- [ ] **Task B2.7:** Add MCP tool `scrape_docx`
**Start Small:** Pick B2.1 first (research only)
#### B3: Excel/Spreadsheet (.xlsx) Support
- [ ] **Task B3.1:** Research Excel parsing (openpyxl, pandas)
- [ ] **Task B3.2:** Create simple sheet → markdown converter
- [ ] **Task B3.3:** Add table detection and formatting
- [ ] **Task B3.4:** Extract API reference from spreadsheets (common pattern)
- [ ] **Task B3.5:** Create `xlsx_scraper.py` CLI tool
- [ ] **Task B3.6:** Add MCP tool `scrape_xlsx`
**Start Small:** Pick B3.1 first (research only)
#### B4: Markdown Files Support
- [ ] **Task B4.1:** Create markdown file crawler (for local docs)
- [ ] **Task B4.2:** Extract front matter (title, category, etc.)
- [ ] **Task B4.3:** Build category tree from folder structure
- [ ] **Task B4.4:** Add link resolution (internal references)
- [ ] **Task B4.5:** Create `markdown_scraper.py` CLI tool
- [ ] **Task B4.6:** Add MCP tool `scrape_markdown_dir`
**Start Small:** Pick B4.1 first (simple file walker)
---
### 💻 **Category C: Codebase Knowledge**
Generate skills from actual code repositories
#### C1: GitHub Repository Scraping
- [ ] **Task C1.1:** Create GitHub API client (fetch repo structure)
- [ ] **Task C1.2:** Extract README.md files
- [ ] **Task C1.3:** Extract code comments and docstrings
- [ ] **Task C1.4:** Detect programming language per file
- [ ] **Task C1.5:** Extract function/class signatures
- [ ] **Task C1.6:** Build usage examples from tests
- [ ] **Task C1.7:** Extract GitHub Issues (open/closed, labels, milestones)
- [ ] **Task C1.8:** Extract CHANGELOG.md and release notes
- [ ] **Task C1.9:** Extract GitHub Releases with version history
- [ ] **Task C1.10:** Create `github_scraper.py` CLI tool
- [ ] **Task C1.11:** Add MCP tool `scrape_github`
- [ ] **Task C1.12:** Add config format for GitHub repos
**Start Small:** Pick C1.1 first (basic GitHub API connection)
#### C2: Local Codebase Scraping
- [ ] **Task C2.1:** Create file tree walker (with .gitignore support)
- [ ] **Task C2.2:** Extract docstrings (Python, JS, etc.)
- [ ] **Task C2.3:** Extract function signatures and types
- [ ] **Task C2.4:** Build API reference from code
- [ ] **Task C2.5:** Extract inline comments as notes
- [ ] **Task C2.6:** Create dependency graph
- [ ] **Task C2.7:** Create `codebase_scraper.py` CLI tool
- [ ] **Task C2.8:** Add MCP tool `scrape_codebase`
**Start Small:** Pick C2.1 first (simple file walker)
#### C3: Code Pattern Recognition
- [x] **Task C3.1:** Detect common patterns (singleton, factory, etc.) ✅ **v2.6.0** - Completed Jan 2026
- 10 GoF patterns: Singleton, Factory, Observer, Strategy, Decorator, Builder, Adapter, Command, Template Method, Chain of Responsibility
- 9 languages: Python (AST), JavaScript, TypeScript, C++, C, C#, Go, Rust, Java
- 3 detection levels: Surface (naming), Deep (structure), Full (behavior)
- CLI tool, MCP integration, 24 tests, 87% precision
- See: `docs/PATTERN_DETECTION.md`, Issue #71
- [x] **Task C3.2:** Extract usage examples from test files ✅ **v2.6.0** - Completed Jan 2026
- 5 categories: instantiation, method_call, config, setup, workflow
- 9 languages: Python (AST-based), JavaScript, TypeScript, Go, Rust, Java, C#, PHP, Ruby
- Quality filtering with confidence scoring (removes trivial patterns)
- CLI tool, MCP integration, 19 tests, 80%+ high-confidence examples
- See: `docs/TEST_EXAMPLE_EXTRACTION.md`, Issue #72
- [ ] **Task C3.3:** Build "how to" guides from code
- [ ] **Task C3.4:** Extract configuration patterns
- [ ] **Task C3.5:** Create architectural overview
- [x] **Task C3.6:** AI Enhancement for Pattern Detection and Test Examples ✅ **v2.6.0** - Completed Jan 2026
- Enhances C3.1 and C3.2 with AI-powered insights using Claude API
- Pattern enhancement: Explains detection, suggests improvements, identifies issues
- Test example enhancement: Adds context, groups tutorials, identifies best practices
- Auto-activation when ANTHROPIC_API_KEY is set, graceful offline degradation
- Batch processing (5 items/call) to minimize API costs
- See: `src/skill_seekers/cli/ai_enhancer.py`, Issue #234
- [x] **Task C3.7:** Architectural Pattern Detection ✅ **v2.6.0** - Completed Jan 2026
- Detects 8 architectural patterns: MVC, MVVM, MVP, Repository, Service Layer, Layered, Clean Architecture
- Framework detection: Django, Flask, Spring, ASP.NET, Rails, Laravel, Angular, React, Vue.js
- Multi-file analysis with directory structure pattern matching
- Evidence-based detection with confidence scoring
- AI-enhanced architectural insights (integrates with C3.6)
- See: `src/skill_seekers/cli/architectural_pattern_detector.py`, Issue #235
**Start Small:** Pick C3.3 next (build "how to" guides from workflow examples)
---
### 🔌 **Category D: Context7 Integration**
Explore integration with Context7 for enhanced context management
#### D1: Context7 Research & Planning
- [ ] **Task D1.1:** Research Context7 API and capabilities
- [ ] **Task D1.2:** Document potential use cases for Skill Seeker
- [ ] **Task D1.3:** Create integration design proposal
- [ ] **Task D1.4:** Identify which features benefit most
**Start Small:** Pick D1.1 first (pure research, no code)
#### D2: Context7 Basic Integration
- [ ] **Task D2.1:** Create Context7 API client
- [ ] **Task D2.2:** Test basic context storage/retrieval
- [ ] **Task D2.3:** Store scraped documentation in Context7
- [ ] **Task D2.4:** Query Context7 during skill building
- [ ] **Task D2.5:** Add MCP tool `sync_to_context7`
**Start Small:** Pick D2.1 first (basic API connection)
---
### 🚀 **Category E: MCP Enhancements**
Small improvements to existing MCP tools
#### E1: New MCP Tools
- [ ] **Task E1.1:** Add `fetch_config` MCP tool (download from website)
- [ ] **Task E1.2:** Add `fetch_knowledge` MCP tool (download skills)
- [x] **Task E1.3:** Add `scrape_pdf` MCP tool (✅ COMPLETED v1.0.0)
- [ ] **Task E1.4:** Add `scrape_docx` MCP tool
- [ ] **Task E1.5:** Add `scrape_xlsx` MCP tool
- [ ] **Task E1.6:** Add `scrape_github` MCP tool (see C1.11)
- [ ] **Task E1.7:** Add `scrape_codebase` MCP tool (see C2.8)
- [ ] **Task E1.8:** Add `scrape_markdown_dir` MCP tool (see B4.6)
- [ ] **Task E1.9:** Add `sync_to_context7` MCP tool (see D2.5)
**Start Small:** Pick E1.1 first (once A1.2 is done)
#### E2: MCP Quality Improvements
- [ ] **Task E2.1:** Add error handling to all tools
- [ ] **Task E2.2:** Add structured logging
- [ ] **Task E2.3:** Add progress indicators for long operations
- [ ] **Task E2.4:** Add validation for all inputs
- [ ] **Task E2.5:** Add helpful error messages
- [x] **Task E2.6:** Add retry logic for network failures *(Utilities ready via PR #208, integration pending)*
**Start Small:** Pick E2.1 first (one tool at a time)
---
### ⚡ **Category F: Performance & Reliability**
Technical improvements to existing features
#### F1: Core Scraper Improvements
- [ ] **Task F1.1:** Add URL normalization (remove query params)
- [ ] **Task F1.2:** Add duplicate page detection
- [ ] **Task F1.3:** Add memory-efficient streaming for large docs
- [ ] **Task F1.4:** Add HTML parser fallback (lxml → html5lib)
- [x] **Task F1.5:** Add network retry with exponential backoff *(Utilities ready via PR #208, scraper integration pending)*
- [ ] **Task F1.6:** Fix package path output bug
**Start Small:** Pick F1.1 first (URL normalization only)
#### F2: Incremental Updates
- [ ] **Task F2.1:** Track page modification times (Last-Modified header)
- [ ] **Task F2.2:** Store page checksums/hashes
- [ ] **Task F2.3:** Compare on re-run, skip unchanged pages
- [ ] **Task F2.4:** Update only changed content
- [ ] **Task F2.5:** Preserve local annotations/edits
**Start Small:** Pick F2.1 first (just tracking, no logic)
---
### 🎨 **Category G: Tools & Utilities**
Small standalone tools that add value
#### G1: Config Tools
- [ ] **Task G1.1:** Create `validate_config.py` (enhanced validation)
- [ ] **Task G1.2:** Create `test_selectors.py` (interactive selector tester)
- [ ] **Task G1.3:** Create `auto_detect_selectors.py` (AI-powered)
- [ ] **Task G1.4:** Create `compare_configs.py` (diff two configs)
- [ ] **Task G1.5:** Create `optimize_config.py` (suggest improvements)
**Start Small:** Pick G1.1 first (simple validation script)
#### G2: Skill Quality Tools
- [ ] **Task G2.1:** Create `analyze_skill.py` (quality metrics)
- [ ] **Task G2.2:** Add code example counter
- [ ] **Task G2.3:** Add readability scoring
- [ ] **Task G2.4:** Add completeness checker
- [ ] **Task G2.5:** Create quality report generator
**Start Small:** Pick G2.1 first (basic metrics)
---
### 📚 **Category H: Community Response**
Respond to existing GitHub issues
#### H1: Address Open Issues
- [ ] **Task H1.1:** Respond to Issue #8: Prereqs to Getting Started
- [ ] **Task H1.2:** Investigate Issue #7: Laravel scraping issue
- [ ] **Task H1.3:** Create example project (Issue #4)
- [ ] **Task H1.4:** Answer Issue #3: Pro plan compatibility
- [ ] **Task H1.5:** Create self-documenting skill (Issue #1)
**Start Small:** Pick H1.1 first (just respond, don't solve)
---
### 🎓 **Category I: Content & Documentation**
Educational content and guides
#### I1: Video Tutorials
- [ ] **Task I1.1:** Write script for "Quick Start" video
- [ ] **Task I1.2:** Record "Quick Start" (5 min)
- [ ] **Task I1.3:** Write script for "MCP Setup" video
- [ ] **Task I1.4:** Record "MCP Setup" (8 min)
- [ ] **Task I1.5:** Write script for "Custom Config" video
- [ ] **Task I1.6:** Record "Custom Config" (10 min)
**Start Small:** Pick I1.1 first (just write script, no recording)
#### I2: Written Guides
- [ ] **Task I2.1:** Write troubleshooting guide
- [ ] **Task I2.2:** Write best practices guide
- [ ] **Task I2.3:** Write performance optimization guide
- [ ] **Task I2.4:** Write community config contribution guide
- [ ] **Task I2.5:** Write codebase scraping guide
**Start Small:** Pick I2.1 first (common issues + solutions)
---
### 🧪 **Category J: Testing & Quality**
Improve test coverage and quality
#### J1: Test Expansion
- [ ] **Task J1.1:** Install MCP package: `pip install mcp`
- [ ] **Task J1.2:** Verify all 14 tests pass
- [ ] **Task J1.3:** Add tests for new MCP tools (as they're created)
- [ ] **Task J1.4:** Add integration tests for PDF scraper
- [ ] **Task J1.5:** Add integration tests for GitHub scraper
- [ ] **Task J1.6:** Add end-to-end workflow tests
**Start Small:** Pick J1.1 first (just install package)
---
## 🎯 Recommended Starting Tasks (Pick 3-5)
### Quick Wins (1-2 hours each):
1. **H1.1** - Respond to Issue #8 (community engagement)
2. **J1.1** - Install MCP package (fix tests)
3. **A3.1** - Create simple GitHub Pages site (single HTML)
4. **B1.1** - Research PDF parsing (no coding, just notes)
5. **F1.1** - Add URL normalization (small code fix)
### Medium Tasks (3-5 hours each):
6. ~~**A1.1** - Create JSON API for configs (simple endpoint)~~**COMPLETE**
7. **G1.1** - Create config validator script
8. **C1.1** - GitHub API client (basic connection)
9. **I1.1** - Write Quick Start video script
10. **E2.1** - Add error handling to one MCP tool
### Bigger Tasks (5-10 hours each):
11. **B1.2-B1.6** - Complete PDF scraper
12. **C1.7-C1.9** - Complete GitHub scraper
13. **A2.1-A2.3** - Knowledge sharing foundation
14. **I1.2** - Record and publish Quick Start video
---
## 📊 Progress Tracking
**Completed Tasks:** 3 (A1.1 ✅, A1.2 ✅, A1.7 ✅)
**In Progress:** 0
**Total Available Tasks:** 136
### Current Sprint: Choose Your Own Adventure!
**Pick 1-3 tasks** from any category that interest you most.
**No pressure, no deadlines, just progress!**
---
## 🎨 Flexibility Rules
1. **Pick any task, any order** - No dependencies (mostly)
2. **Start small** - Research tasks before implementation
3. **One task at a time** - Focus, complete, move on
4. **Switch anytime** - Not enjoying it? Pick another!
5. **Document as you go** - Each task should update docs
6. **Test incrementally** - Each task should have a quick test
7. **Ship early** - Don't wait for "complete" features
---
## 🚀 How to Use This Roadmap
### Step 1: Pick a Task
- Read through categories
- Pick something that sounds interesting
- Check estimated time
- Choose 1-3 tasks for this week
### Step 2: Create Issue (Optional)
- Create GitHub issue for tracking
- Add labels (category, priority)
- Add to project board
### Step 3: Work on It
- Complete the task
- Test it
- Document it
- Mark as done ✅
### Step 4: Ship It
- Commit changes
- Update changelog
- Tag version (if significant)
- Announce on GitHub
### Step 5: Repeat
- Pick next task
- Keep moving forward!
---
**Philosophy:**
**Small steps → Consistent progress → Compound results**
**No rigid milestones. No big releases. Just continuous improvement!** 🎯
---
**Last Updated:** October 20, 2025

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# Future Releases Roadmap
This document outlines planned features, improvements, and the vision for upcoming releases of Skill Seekers.
## Release Philosophy
We follow semantic versioning (MAJOR.MINOR.PATCH) and maintain backward compatibility wherever possible. Each release focuses on delivering value to users while maintaining code quality and test coverage.
---
## ✅ Release: v2.1.0 (Released: November 29, 2025)
**Focus:** Test Coverage & Quality Improvements
### Completed Features
#### Testing & Quality
- [x] **Fix 12 unified scraping tests** ✅ - Complete test coverage for unified multi-source scraping
- ConfigValidator expecting dict instead of file path
- ConflictDetector expecting dict pages, not list
- Full integration test suite for unified workflow
### Planned Features (Future v2.2.0)
#### Testing & Quality
- [ ] **Improve test coverage to 60%+** (currently 39%)
- Write tests for 0% coverage files:
- `generate_router.py` (110 lines) - Router skill generator
- `split_config.py` (165 lines) - Config splitter
- `unified_scraper.py` (208 lines) - Unified scraping CLI
- `package_multi.py` (37 lines) - Multi-package tool
- Improve coverage for low-coverage files:
- `mcp/server.py` (9% → 60%)
- `enhance_skill.py` (11% → 60%)
- `code_analyzer.py` (19% → 60%)
- [ ] **Fix MCP test skipping issue** - 29 MCP tests pass individually but skip in full suite
- Resolve pytest isolation issue
- Ensure all tests run in CI/CD
#### Features
- [ ] **Task H1.3: Create example project folder**
- Real-world example projects using Skill Seekers
- Step-by-step tutorials
- Before/after comparisons
- [ ] **Task J1.1: Install MCP package for testing**
- Better MCP integration testing
- Automated MCP server tests in CI
- [ ] **Enhanced error handling**
- Better error messages for common issues
- Graceful degradation for missing dependencies
- Recovery from partial failures
### Documentation
- [ ] Video tutorials for common workflows
- [ ] Troubleshooting guide expansion
- [ ] Performance optimization guide
---
## Release: v2.2.0 (Estimated: Q1 2026)
**Focus:** Web Presence & Community Growth
### Planned Features
#### Community & Documentation
- [ ] **Task A3.1: GitHub Pages website** (skillseekersweb.com)
- Interactive documentation
- Live demos and examples
- Getting started wizard
- Community showcase
- [ ] **Plugin system foundation**
- Allow custom scrapers via plugins
- Plugin discovery and installation
- Plugin documentation generator
#### Enhancements
- [ ] **Support for additional documentation formats**
- Sphinx documentation
- Docusaurus sites
- GitBook
- Read the Docs
- MkDocs Material
- [ ] **Improved caching strategies**
- Intelligent cache invalidation
- Differential scraping (only changed pages)
- Cache compression
- Cross-session cache sharing
#### Performance
- [ ] **Scraping performance improvements**
- Connection pooling optimizations
- Smart rate limiting based on server response
- Adaptive concurrency
- Memory usage optimization for large docs
---
## Release: v2.3.0 (Estimated: Q2 2026)
**Focus:** Developer Experience & Integrations
### Planned Features
#### Developer Tools
- [ ] **Web UI for config generation**
- Visual config builder
- Real-time preview
- Template library
- Export/import configs
- [ ] **CI/CD integration examples**
- GitHub Actions workflows
- GitLab CI
- Jenkins pipelines
- Automated skill updates on doc changes
- [ ] **Docker containerization**
- Official Docker images
- docker-compose examples
- Kubernetes deployment guides
#### API & Integrations
- [ ] **GraphQL API support**
- Scrape GraphQL documentation
- Extract schema and queries
- Generate interactive examples
- [ ] **REST API documentation formats**
- OpenAPI/Swagger
- Postman collections
- API Blueprint
---
## Long-term Vision (v3.0+)
### Major Features Under Consideration
#### Advanced Scraping
- [ ] **Real-time documentation monitoring**
- Watch for documentation changes
- Automatic skill updates
- Change notifications
- Version diff reports
- [ ] **Multi-language documentation**
- Automatic language detection
- Combined multi-language skills
- Translation quality checking
#### Collaboration
- [ ] **Collaborative skill curation**
- Shared skill repositories
- Community ratings and reviews
- Collaborative editing
- Fork and merge workflows
- [ ] **Skill marketplace**
- Discover community-created skills
- Share your skills
- Quality ratings
- Usage statistics
#### AI & Intelligence
- [ ] **Enhanced AI analysis**
- Better conflict detection algorithms
- Automatic documentation quality scoring
- Suggested improvements
- Code example validation
- [ ] **Semantic understanding**
- Natural language queries for skill content
- Intelligent categorization
- Auto-generated summaries
- Concept relationship mapping
---
## Backlog Ideas
### Features Requested by Community
- [ ] Support for video tutorial transcription
- [ ] Integration with Notion, Confluence, and other wikis
- [ ] Jupyter notebook scraping and conversion
- [ ] Live documentation preview during scraping
- [ ] Skill versioning and update management
- [ ] A/B testing for skill quality
- [ ] Analytics dashboard (scraping stats, error rates, etc.)
### Technical Improvements
- [ ] Migration to modern async framework (httpx everywhere)
- [ ] Improved type safety (full mypy strict mode)
- [ ] Better logging and debugging tools
- [ ] Performance profiling dashboard
- [ ] Memory optimization for very large docs (100K+ pages)
### Ecosystem
- [ ] VS Code extension
- [ ] IntelliJ/PyCharm plugin
- [ ] Command-line interactive mode (TUI)
- [ ] Skill diff tool (compare versions)
- [ ] Skill merge tool (combine multiple skills)
---
## How to Influence the Roadmap
### Priority System
Features are prioritized based on:
1. **User impact** - How many users will benefit?
2. **Technical feasibility** - How complex is the implementation?
3. **Community interest** - How many upvotes/requests?
4. **Strategic alignment** - Does it fit our vision?
### Ways to Contribute
#### 1. Vote on Features
- ⭐ Star feature request issues
- 💬 Comment with your use case
- 🔼 Upvote discussions
#### 2. Contribute Code
See our [FLEXIBLE_ROADMAP.md](FLEXIBLE_ROADMAP.md) for:
- **134 tasks** across 22 feature groups
- Tasks categorized by difficulty and area
- Clear acceptance criteria
- Estimated effort levels
Pick any task and submit a PR! See [CONTRIBUTING.md](CONTRIBUTING.md) for guidelines.
#### 3. Share Feedback
- Open issues for bugs or feature requests
- Share your success stories
- Suggest improvements to existing features
- Report performance issues
#### 4. Help with Documentation
- Write tutorials
- Improve existing docs
- Translate documentation
- Create video guides
---
## Release Schedule
We aim for predictable releases:
- **Patch releases (2.0.x)**: As needed for critical bugs
- **Minor releases (2.x.0)**: Every 2-3 months
- **Major releases (x.0.0)**: Annually, with breaking changes announced 3 months in advance
### Current Schedule
| Version | Focus | ETA | Status |
|---------|-------|-----|--------|
| v2.0.0 | PyPI Publication | 2025-11-11 | ✅ Released |
| v2.1.0 | Test Coverage & Quality | 2025-11-29 | ✅ Released |
| v2.2.0 | Web Presence | Q1 2026 | 📋 Planned |
| v2.3.0 | Developer Experience | Q2 2026 | 📋 Planned |
| v3.0.0 | Major Evolution | 2026 | 💡 Conceptual |
---
## Stay Updated
- 📋 **Project Board**: https://github.com/users/yusufkaraaslan/projects/2
- 📚 **Full Roadmap**: [FLEXIBLE_ROADMAP.md](FLEXIBLE_ROADMAP.md)
- 📝 **Changelog**: [CHANGELOG.md](CHANGELOG.md)
- 💬 **Discussions**: https://github.com/yusufkaraaslan/Skill_Seekers/discussions
- 🐛 **Issues**: https://github.com/yusufkaraaslan/Skill_Seekers/issues
---
## Questions?
Have questions about the roadmap or want to suggest a feature?
1. Check if it's already in our [FLEXIBLE_ROADMAP.md](FLEXIBLE_ROADMAP.md)
2. Search [existing discussions](https://github.com/yusufkaraaslan/Skill_Seekers/discussions)
3. Open a new discussion or issue
4. Reach out in our community channels
**Together, we're building the future of documentation-to-AI skill conversion!** 🚀

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@@ -1,256 +1,405 @@
# Skill Seeker Development Roadmap
# Skill Seekers Roadmap
## Vision
Transform Skill Seeker into the easiest way to create Claude AI skills from **any knowledge source** - documentation websites, PDFs, codebases, GitHub repos, Office docs, and more - with both CLI and MCP interfaces.
Transform Skill Seekers into the easiest way to create Claude AI skills from **any knowledge source** - documentation websites, PDFs, codebases, GitHub repos, Office docs, and more - with both CLI and MCP interfaces.
## 🎯 New Approach: Flexible, Incremental Development
---
**Philosophy:** Small tasks → Pick one → Complete → Move on
## 🎯 Current Status: v2.6.0 ✅
Instead of rigid milestones, we now use a **flexible task-based approach**:
- 100+ small, independent tasks across 10 categories
**Latest Release:** v2.6.0 (January 14, 2026)
**What Works:**
- ✅ Documentation scraping (HTML websites with llms.txt support)
- ✅ GitHub repository scraping with C3.x codebase analysis
- ✅ PDF extraction with OCR and image support
- ✅ Unified multi-source scraping (docs + GitHub + PDF)
- ✅ 18 MCP tools fully functional
- ✅ Multi-platform support (Claude, Gemini, OpenAI, Markdown)
- ✅ Auto-upload to all platforms
- ✅ 24 preset configs (including 7 unified configs)
- ✅ Large docs support (40K+ pages with router skills)
- ✅ C3.x codebase analysis suite (C3.1-C3.8)
- ✅ 700+ tests passing
---
## 🧭 Development Philosophy
**Small tasks → Pick one → Complete → Move on**
Instead of rigid milestones, we use a **flexible task-based approach**:
- 136 small, independent tasks across 10 categories
- Pick any task, any order
- Start small, ship often
- No deadlines, just continuous progress
**See:** [FLEXIBLE_ROADMAP.md](FLEXIBLE_ROADMAP.md) for the complete task list!
**Philosophy:** Small steps → Consistent progress → Compound results
---
## 🎯 Milestones
## 📋 Task-Based Roadmap (136 Tasks, 10 Categories)
### ✅ v1.0 - Production Release (COMPLETED - Oct 19, 2025)
**Released:** October 19, 2025 | **Tag:** v1.0.0
### 🌐 **Category A: Community & Sharing**
Small tasks that build community features incrementally
#### Core Features ✅
- [x] Documentation scraping with BFS
- [x] Smart categorization
- [x] Language detection
- [x] Pattern extraction
- [x] 12 preset configurations (Godot, React, Vue, Django, FastAPI, Tailwind, Kubernetes, Astro, etc.)
- [x] Comprehensive test suite (14 tests, 100% pass rate)
#### A1: Config Sharing (Website Feature)
- [x] **Task A1.1:** Create simple JSON API endpoint to list configs ✅ **COMPLETE**
- **Status:** Live at https://api.skillseekersweb.com
- **Features:** 6 REST endpoints, auto-categorization, auto-tags, filtering, SSL enabled
- [x] **Task A1.2:** Add MCP tool `fetch_config` to download from website ✅ **COMPLETE**
- **Features:** List 24 configs, filter by category, download by name
- [ ] **Task A1.3:** Add MCP tool `submit_config` to submit custom configs
- **Purpose:** Allow users to submit custom configs via MCP (creates GitHub issue)
- **Time:** 2-3 hours
- [ ] **Task A1.4:** Create static config catalog website (GitHub Pages)
- **Purpose:** Read-only catalog to browse/search configs
- **Time:** 2-3 hours
- [ ] **Task A1.5:** Add config rating/voting system
- **Purpose:** Community feedback on config quality
- **Time:** 3-4 hours
- [ ] **Task A1.6:** Admin review queue for submitted configs
- **Approach:** Use GitHub Issues with labels
- **Time:** 1-2 hours
- [x] **Task A1.7:** Add MCP tool `install_skill` for one-command workflow ✅ **COMPLETE**
- **Features:** fetch → scrape → enhance → package → upload
- **Completed:** December 21, 2025
- [ ] **Task A1.8:** Add smart skill detection and auto-install
- **Purpose:** Auto-detect missing skills from user queries
- **Time:** 4-6 hours
#### MCP Integration ✅
- [x] Monorepo refactor (cli/ and mcp/)
- [x] MCP server with 9 tools (fully functional)
- [x] All MCP tools tested and working
- [x] Complete MCP documentation
- [x] Setup automation (setup_mcp.sh)
**Start Next:** Pick A1.3 (MCP submit tool)
#### Large Documentation Support ✅
- [x] Config splitting for 40K+ page docs
- [x] Router/hub skill generation
- [x] Checkpoint/resume functionality
- [x] Parallel scraping support
#### A2: Knowledge Sharing (Website Feature)
- [ ] **Task A2.1:** Design knowledge database schema
- [ ] **Task A2.2:** Create API endpoint to upload knowledge (.zip files)
- [ ] **Task A2.3:** Add MCP tool `fetch_knowledge` to download from site
- [ ] **Task A2.4:** Add knowledge preview/description
- [ ] **Task A2.5:** Add knowledge categorization (by framework/topic)
- [ ] **Task A2.6:** Add knowledge search functionality
#### Auto-Upload Feature ✅
- [x] Smart API key detection
- [x] Automatic upload to Claude
- [x] Cross-platform folder opening
- [x] Graceful fallback to manual upload
**Start Small:** Pick A2.1 first (schema design, no coding)
**Statistics:**
- 9 MCP tools (fully working)
#### A3: Simple Website Foundation
- [ ] **Task A3.1:** Create single-page static site (GitHub Pages)
- [ ] **Task A3.2:** Add config gallery view
- [ ] **Task A3.3:** Add "Submit Config" link
- [ ] **Task A3.4:** Add basic stats
- [ ] **Task A3.5:** Add simple blog using GitHub Issues
- [ ] **Task A3.6:** Add RSS feed for updates
**Start Small:** Pick A3.1 first (single HTML page)
---
### 🛠️ **Category B: New Input Formats**
Add support for non-HTML documentation sources
#### B1: PDF Documentation Support
- [ ] **Task B1.1:** Research PDF parsing libraries
- [ ] **Task B1.2:** Create simple PDF text extractor (POC)
- [ ] **Task B1.3:** Add PDF page detection and chunking
- [ ] **Task B1.4:** Extract code blocks from PDFs
- [ ] **Task B1.5:** Add PDF image extraction
- [ ] **Task B1.6:** Create `pdf_scraper.py` CLI tool
- [ ] **Task B1.7:** Add MCP tool `scrape_pdf`
- [ ] **Task B1.8:** Create PDF config format
**Start Small:** Pick B1.1 first (research only)
#### B2: Microsoft Word (.docx) Support
- [ ] **Task B2.1-B2.7:** Word document parsing and scraping
#### B3: Excel/Spreadsheet (.xlsx) Support
- [ ] **Task B3.1-B3.6:** Spreadsheet parsing and API extraction
#### B4: Markdown Files Support
- [ ] **Task B4.1-B4.6:** Local markdown directory scraping
---
### 💻 **Category C: Codebase Knowledge**
Generate skills from actual code repositories
#### C1: GitHub Repository Scraping
- [ ] **Task C1.1-C1.12:** GitHub API integration and code analysis
#### C2: Local Codebase Scraping
- [ ] **Task C2.1-C2.8:** Local directory analysis and API extraction
#### C3: Code Pattern Recognition
- [x] **Task C3.1:** Detect common patterns (singleton, factory, etc.) ✅ **v2.6.0**
- 10 GoF patterns, 9 languages, 87% precision
- [x] **Task C3.2:** Extract usage examples from test files ✅ **v2.6.0**
- 5 categories, 9 languages, 80%+ high-confidence examples
- [ ] **Task C3.3:** Build "how to" guides from code
- [ ] **Task C3.4:** Extract configuration patterns
- [ ] **Task C3.5:** Create architectural overview
- [x] **Task C3.6:** AI Enhancement for Pattern Detection ✅ **v2.6.0**
- Claude API integration for enhanced insights
- [x] **Task C3.7:** Architectural Pattern Detection ✅ **v2.6.0**
- Detects 8 architectural patterns, framework-aware
**Start Next:** Pick C3.3 (build guides from workflow examples)
---
### 🔌 **Category D: Context7 Integration**
- [ ] **Task D1.1-D1.4:** Research and planning
- [ ] **Task D2.1-D2.5:** Basic integration
---
### 🚀 **Category E: MCP Enhancements**
Small improvements to existing MCP tools
#### E1: New MCP Tools
- [x] **Task E1.3:** Add `scrape_pdf` MCP tool ✅
- [ ] **Task E1.1:** Add `fetch_config` MCP tool
- [ ] **Task E1.2:** Add `fetch_knowledge` MCP tool
- [ ] **Task E1.4-E1.9:** Additional format scrapers
#### E2: MCP Quality Improvements
- [ ] **Task E2.1:** Add error handling to all tools
- [ ] **Task E2.2:** Add structured logging
- [ ] **Task E2.3:** Add progress indicators
- [ ] **Task E2.4:** Add validation for all inputs
- [ ] **Task E2.5:** Add helpful error messages
- [x] **Task E2.6:** Add retry logic for network failures ✅ **Utilities ready**
---
### ⚡ **Category F: Performance & Reliability**
Technical improvements to existing features
#### F1: Core Scraper Improvements
- [ ] **Task F1.1:** Add URL normalization
- [ ] **Task F1.2:** Add duplicate page detection
- [ ] **Task F1.3:** Add memory-efficient streaming
- [ ] **Task F1.4:** Add HTML parser fallback
- [x] **Task F1.5:** Add network retry with exponential backoff ✅
- [ ] **Task F1.6:** Fix package path output bug
#### F2: Incremental Updates
- [ ] **Task F2.1-F2.5:** Track modifications, update only changed content
---
### 🎨 **Category G: Tools & Utilities**
Small standalone tools that add value
#### G1: Config Tools
- [ ] **Task G1.1:** Create `validate_config.py`
- [ ] **Task G1.2:** Create `test_selectors.py`
- [ ] **Task G1.3:** Create `auto_detect_selectors.py` (AI-powered)
- [ ] **Task G1.4:** Create `compare_configs.py`
- [ ] **Task G1.5:** Create `optimize_config.py`
#### G2: Skill Quality Tools
- [ ] **Task G2.1-G2.5:** Quality analysis and reporting
---
### 📚 **Category H: Community Response**
- [ ] **Task H1.1-H1.5:** Address open GitHub issues
---
### 🎓 **Category I: Content & Documentation**
- [ ] **Task I1.1-I1.6:** Video tutorials
- [ ] **Task I2.1-I2.5:** Written guides
---
### 🧪 **Category J: Testing & Quality**
- [ ] **Task J1.1-J1.6:** Test expansion and coverage
---
## 🎯 Recommended Starting Tasks
### Quick Wins (1-2 hours each):
1. **H1.1** - Respond to Issue #8
2. **J1.1** - Install MCP package
3. **A3.1** - Create GitHub Pages site
4. **B1.1** - Research PDF parsing
5. **F1.1** - Add URL normalization
### Medium Tasks (3-5 hours each):
6.**A1.1** - JSON API for configs (COMPLETE)
7. **G1.1** - Config validator script
8. **C1.1** - GitHub API client
9. **I1.1** - Video script writing
10. **E2.1** - Error handling for MCP tools
---
## 📊 Release History
### ✅ v2.6.0 - C3.x Codebase Analysis Suite (January 14, 2026)
**Focus:** Complete codebase analysis with multi-platform support
**Completed Features:**
- C3.x suite (C3.1-C3.8): Pattern detection, test extraction, architecture analysis
- Multi-platform support: Claude, Gemini, OpenAI, Markdown
- Platform adaptor architecture
- 18 MCP tools (up from 9)
- 700+ tests passing
- Unified multi-source scraping maturity
### ✅ v2.1.0 - Test Coverage & Quality (November 29, 2025)
**Focus:** Test coverage and unified scraping
**Completed Features:**
- Fixed 12 unified scraping tests
- GitHub repository scraping with unlimited local analysis
- PDF extraction and conversion
- 427 tests passing
### ✅ v1.0.0 - Production Release (October 19, 2025)
**First stable release**
**Core Features:**
- Documentation scraping with BFS
- Smart categorization
- Language detection
- Pattern extraction
- 12 preset configurations
- 14/14 tests passing (100%)
- ~3,800 lines of code
- Complete documentation suite
- MCP server with 9 tools
- Large documentation support (40K+ pages)
- Auto-upload functionality
---
## 📋 Task Categories (Flexible Development)
## 📅 Release Planning
See [FLEXIBLE_ROADMAP.md](FLEXIBLE_ROADMAP.md) for detailed task breakdown.
### Release: v2.7.0 (Estimated: February 2026)
**Focus:** Router Quality Improvements & Multi-Source Maturity
### Category Summary:
- **🌐 Community & Sharing** - Config/knowledge sharing website features
- **🛠️ New Input Formats** - PDF, Word, Excel, Markdown support
- **💻 Codebase Knowledge** - GitHub repos, local code scraping
- **🔌 Context7 Integration** - Enhanced context management
- **🚀 MCP Enhancements** - New tools and quality improvements
- **⚡ Performance & Reliability** - Core improvements
- **🎨 Tools & Utilities** - Standalone helper tools
- **📚 Community Response** - Address GitHub issues
- **🎓 Content & Documentation** - Videos and guides
- **🧪 Testing & Quality** - Test coverage expansion
**Planned Features:**
- Router skill quality improvements
- Enhanced multi-source synthesis
- Source-parity for all scrapers
- AI enhancement improvements
- Documentation refinements
---
### Release: v2.8.0 (Estimated: Q1 2026)
**Focus:** Web Presence & Community Growth
### ~~📋 v1.1 - Website Launch (PLANNED)~~ → Now flexible tasks!
**Goal:** Create professional website and community presence
**Timeline:** November 2025 (Due: Nov 3, 2025)
**Planned Features:**
- GitHub Pages website (skillseekersweb.com)
- Interactive documentation
- Config submission workflow
- Community showcase
- Video tutorials
**Features:**
- Professional landing page (skillseekersweb.com)
- Documentation migration to website
- Preset showcase gallery (interactive)
- Blog with release notes and tutorials
- SEO optimization
- Analytics integration
### Release: v2.9.0 (Estimated: Q2 2026)
**Focus:** Developer Experience & Integrations
**Community:**
- Video tutorial series
- Contributing guidelines
- Issue templates and workflows
- GitHub Project board
- Community engagement
---
### 📋 v1.2 - Core Improvements (PLANNED)
**Goal:** Address technical debt and performance
**Timeline:** Late November 2025
**Technical Enhancements:**
- URL normalization/deduplication
- Memory optimization for large docs
- HTML parser fallback (lxml)
- Selector validation tool
- Incremental update system
**MCP Enhancements:**
- Interactive config wizard via MCP
- Real-time progress updates
- Auto-detect documentation patterns
- Enhanced error handling and logging
- Batch operations
---
### 📋 v2.0 - Intelligence Layer (PLANNED)
**Goal:** Smart defaults and auto-configuration
**Timeline:** December 2025
**Features:**
- **Auto-detection:**
- Automatically find best selectors
- Detect documentation framework (Docusaurus, GitBook, etc.)
- Suggest optimal rate_limit and max_pages
- **Quality Metrics:**
- Analyze generated SKILL.md quality
- Suggest improvements
- Validate code examples
- **Templates:**
- Pre-built configs for popular frameworks
- Community config sharing
- One-click generation for common docs
**Example:**
```
User: "Create skill from https://tailwindcss.com/docs"
Tool: Auto-detects Tailwind, uses template, generates in 30 seconds
```
---
### 💭 v3.0 - Platform Features (IDEAS)
**Goal:** Build ecosystem around skill generation
**Possible Features:**
**Planned Features:**
- Web UI for config generation
- GitHub Actions integration
- CI/CD integration examples
- Docker containerization
- Enhanced scraping formats (Sphinx, Docusaurus detection)
- Performance optimizations
---
## 🔮 Long-term Vision (v3.0+)
### Major Features Under Consideration
#### Advanced Scraping
- Real-time documentation monitoring
- Automatic skill updates
- Change notifications
- Multi-language documentation support
#### Collaboration
- Collaborative skill curation
- Shared skill repositories
- Community ratings and reviews
- Skill marketplace
- Analytics dashboard
- API for programmatic access
#### AI & Intelligence
- Enhanced AI analysis
- Better conflict detection algorithms
- Automatic documentation quality scoring
- Semantic understanding and natural language queries
#### Ecosystem
- VS Code extension
- IntelliJ/PyCharm plugin
- Interactive TUI mode
- Skill diff and merge tools
---
## 🎨 Feature Ideas
## 📈 Metrics & Goals
### High Priority
1. **Selector Auto-Detection** - Analyze page, suggest selectors
2. **Progress Streaming** - Real-time updates during scraping
3. **Config Validation UI** - Visual feedback on config quality
4. **Batch Processing** - Handle multiple sites at once
### Current State (v2.6.0) ✅
- ✅ 24 preset configs (14 official + 10 test/examples)
- ✅ 700+ tests (excellent coverage)
- ✅ 18 MCP tools
- ✅ 4 platform adaptors (Claude, Gemini, OpenAI, Markdown)
- ✅ C3.x codebase analysis suite complete
- ✅ Multi-source synthesis with conflict detection
### Medium Priority
5. **Skill Quality Score** - Rate generated skills
6. **Enhanced SKILL.md** - Better templates, more examples
7. **Documentation Framework Detection** - Auto-detect Docusaurus, VuePress, etc.
8. **Custom Categories AI** - Use AI to suggest categories
### Low Priority
9. **Web Dashboard** - Browser-based interface
10. **Skill Analytics** - Track usage, quality metrics
11. **Community Configs** - Share and discover configs
12. **Plugin System** - Extend with custom scrapers
---
## 🔬 Research Areas
### MCP Enhancements
- [ ] Investigate MCP progress/streaming APIs
- [ ] Test MCP with large documentation sites
- [ ] Explore MCP caching strategies
### AI Integration
- [ ] Use Claude to auto-generate categories
- [ ] AI-powered selector detection
- [ ] Quality analysis with LLMs
### Performance
- [ ] Parallel scraping
- [ ] Incremental updates
- [ ] Smart caching
---
## 📊 Metrics & Goals
### Current State (Oct 20, 2025) ✅
- ✅ 12 preset configs (Godot, React, Vue, Django, FastAPI, Tailwind, Kubernetes, Astro, etc.)
- ✅ 14/14 tests (100% pass rate)
- ✅ 9 MCP tools (fully functional)
- ✅ ~3,800 lines of code
- ✅ Complete documentation suite
- ✅ Production-ready v1.0.0 release
- ✅ Auto-upload functionality
- ✅ Large documentation support (40K+ pages)
### Goals for v1.1 (Website Launch)
### Goals for v2.7-v2.9
- 🎯 Professional website live
- 🎯 Video tutorial series (5 videos)
- 🎯 20+ GitHub stars
- 🎯 Community engagement started
- 🎯 Documentation site migration
### Goals for v1.2 (Core Improvements)
- 🎯 Enhanced MCP features
- 🎯 Performance optimization
- 🎯 Better error handling
- 🎯 Incremental update system
### Goals for v2.0 (Intelligence)
- 🎯 50+ preset configs
- 🎯 Video tutorial series (5+ videos)
- 🎯 100+ GitHub stars
- 🎯 Community contributions flowing
### Goals for v3.0+
- 🎯 Auto-detection for 80%+ of sites
- 🎯 <1 minute skill generation
- 🎯 Community contributions
- 🎯 Active community marketplace
- 🎯 Quality scoring system
- 🎯 Real-time monitoring
---
## 🤝 Contributing
## 🤝 How to Influence the Roadmap
See [CONTRIBUTING.md](CONTRIBUTING.md) for:
- How to add new MCP tools
- Testing guidelines
- Code style
- PR process
### Priority System
Features are prioritized based on:
1. **User impact** - How many users will benefit?
2. **Technical feasibility** - How complex is the implementation?
3. **Community interest** - How many upvotes/requests?
4. **Strategic alignment** - Does it fit our vision?
### Ways to Contribute
1. **Vote on Features** - ⭐ Star feature request issues
2. **Contribute Code** - Pick any task from the 136 available
3. **Share Feedback** - Open issues, share success stories
4. **Help with Documentation** - Write tutorials, improve docs
See [CONTRIBUTING.md](CONTRIBUTING.md) for detailed guidelines.
---
## 📅 Release Schedule
## 🎨 Flexibility Rules
| Version | Target Date | Status | Focus |
|---------|-------------|--------|-------|
| v1.0.0 | Oct 19, 2025 | ✅ **RELEASED** | Core CLI + MCP Integration |
| v1.1.0 | Nov 3, 2025 | 📋 Planned | Website Launch |
| v1.2.0 | Late Nov 2025 | 📋 Planned | Core Improvements |
| v2.0.0 | Dec 2025 | 📋 Planned | Intelligence Layer |
| v3.0.0 | Q1 2026 | 💭 Ideas | Platform Features |
1. **Pick any task, any order** - No rigid dependencies
2. **Start small** - Research tasks before implementation
3. **One task at a time** - Focus, complete, move on
4. **Switch anytime** - Not enjoying it? Pick another!
5. **Document as you go** - Each task should update docs
6. **Test incrementally** - Each task should have a quick test
7. **Ship early** - Don't wait for "complete" features
---
## 📊 Progress Tracking
**Completed Tasks:** 10+ (C3.1, C3.2, C3.6, C3.7, A1.1, A1.2, A1.7, E1.3, E2.6, F1.5)
**In Progress:** Router quality improvements (v2.7.0)
**Total Available Tasks:** 136
**No pressure, no deadlines, just progress!**
---
@@ -263,4 +412,17 @@ See [CONTRIBUTING.md](CONTRIBUTING.md) for:
---
**Last Updated:** October 20, 2025
## 📚 Learn More
- **Project Board**: https://github.com/users/yusufkaraaslan/projects/2
- **Changelog**: [CHANGELOG.md](CHANGELOG.md)
- **Contributing**: [CONTRIBUTING.md](CONTRIBUTING.md)
- **Discussions**: https://github.com/yusufkaraaslan/Skill_Seekers/discussions
- **Issues**: https://github.com/yusufkaraaslan/Skill_Seekers/issues
---
**Last Updated:** January 14, 2026
**Philosophy:** Small steps → Consistent progress → Compound results
**Together, we're building the future of documentation-to-AI skill conversion!** 🚀

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@@ -80,9 +80,7 @@ Historical documentation and completed features:
Want to contribute? See:
- [Contributing Guide](../CONTRIBUTING.md) - Contribution guidelines
- [Roadmap](../ROADMAP.md) - Project roadmap
- [Flexible Roadmap](../FLEXIBLE_ROADMAP.md) - Detailed task list (134 tasks)
- [Future Releases](../FUTURE_RELEASES.md) - Planned features
- [Roadmap](../ROADMAP.md) - Comprehensive roadmap with 136 tasks
## 📝 Changelog

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@@ -1,94 +0,0 @@
# Terminal Selection Guide
When using `--enhance-local`, Skill Seeker opens a new terminal window to run Claude Code. This guide explains how to control which terminal app is used.
## Priority Order
The script automatically detects which terminal to use in this order:
1. **`SKILL_SEEKER_TERMINAL` environment variable** (highest priority)
2. **`TERM_PROGRAM` environment variable** (inherit current terminal)
3. **Terminal.app** (fallback default)
## Setting Your Preferred Terminal
### Option 1: Set Environment Variable (Recommended)
Add this to your shell config (`~/.zshrc` or `~/.bashrc`):
```bash
# For Ghostty users
export SKILL_SEEKER_TERMINAL="Ghostty"
# For iTerm users
export SKILL_SEEKER_TERMINAL="iTerm"
# For WezTerm users
export SKILL_SEEKER_TERMINAL="WezTerm"
```
Then reload your shell:
```bash
source ~/.zshrc # or source ~/.bashrc
```
### Option 2: Set Per-Session
Set the variable before running the command:
```bash
SKILL_SEEKER_TERMINAL="Ghostty" python3 cli/doc_scraper.py --config configs/react.json --enhance-local
```
### Option 3: Inherit Current Terminal (Automatic)
If you run the script from Ghostty, iTerm2, or WezTerm, it will automatically open the enhancement in the same terminal app.
**Note:** IDE terminals (VS Code, Zed, JetBrains) use unique `TERM_PROGRAM` values, so they fall back to Terminal.app unless you set `SKILL_SEEKER_TERMINAL`.
## Supported Terminals
- **Ghostty** (`ghostty`)
- **iTerm2** (`iTerm.app`)
- **Terminal.app** (`Apple_Terminal`)
- **WezTerm** (`WezTerm`)
## Example Output
When terminal detection works:
```
🚀 Launching Claude Code in new terminal...
Using terminal: Ghostty (from SKILL_SEEKER_TERMINAL)
```
When running from an IDE terminal:
```
🚀 Launching Claude Code in new terminal...
⚠️ unknown TERM_PROGRAM (zed)
→ Using Terminal.app as fallback
```
**Tip:** Set `SKILL_SEEKER_TERMINAL` to avoid the fallback behavior.
## Troubleshooting
**Q: The wrong terminal opens even though I set `SKILL_SEEKER_TERMINAL`**
A: Make sure you reloaded your shell after editing `~/.zshrc`:
```bash
source ~/.zshrc
```
**Q: I want to use a different terminal temporarily**
A: Set the variable inline:
```bash
SKILL_SEEKER_TERMINAL="iTerm" python3 cli/doc_scraper.py --enhance-local ...
```
**Q: Can I use a custom terminal app?**
A: Yes! Just use the app name as it appears in `/Applications/`:
```bash
export SKILL_SEEKER_TERMINAL="Alacritty"
```

View File

@@ -1,716 +0,0 @@
# Testing Guide for Skill Seeker
Comprehensive testing documentation for the Skill Seeker project.
## Quick Start
```bash
# Run all tests
python3 run_tests.py
# Run all tests with verbose output
python3 run_tests.py -v
# Run specific test suite
python3 run_tests.py --suite config
python3 run_tests.py --suite features
python3 run_tests.py --suite integration
# Stop on first failure
python3 run_tests.py --failfast
# List all available tests
python3 run_tests.py --list
```
## Test Structure
```
tests/
├── __init__.py # Test package marker
├── test_config_validation.py # Config validation tests (30+ tests)
├── test_scraper_features.py # Core feature tests (25+ tests)
├── test_integration.py # Integration tests (15+ tests)
├── test_pdf_extractor.py # PDF extraction tests (23 tests)
├── test_pdf_scraper.py # PDF workflow tests (18 tests)
└── test_pdf_advanced_features.py # PDF advanced features (26 tests) NEW
```
## Test Suites
### 1. Config Validation Tests (`test_config_validation.py`)
Tests the `validate_config()` function with comprehensive coverage.
**Test Categories:**
- ✅ Valid configurations (minimal and complete)
- ✅ Missing required fields (`name`, `base_url`)
- ✅ Invalid name formats (special characters)
- ✅ Valid name formats (alphanumeric, hyphens, underscores)
- ✅ Invalid URLs (missing protocol)
- ✅ Valid URL protocols (http, https)
- ✅ Selector validation (structure and recommended fields)
- ✅ URL patterns validation (include/exclude lists)
- ✅ Categories validation (structure and keywords)
- ✅ Rate limit validation (range 0-10, type checking)
- ✅ Max pages validation (range 1-10000, type checking)
- ✅ Start URLs validation (format and protocol)
**Example Test:**
```python
def test_valid_complete_config(self):
"""Test valid complete configuration"""
config = {
'name': 'godot',
'base_url': 'https://docs.godotengine.org/en/stable/',
'selectors': {
'main_content': 'div[role="main"]',
'title': 'title',
'code_blocks': 'pre code'
},
'rate_limit': 0.5,
'max_pages': 500
}
errors = validate_config(config)
self.assertEqual(len(errors), 0)
```
**Running:**
```bash
python3 run_tests.py --suite config -v
```
---
### 2. Scraper Features Tests (`test_scraper_features.py`)
Tests core scraper functionality including URL validation, language detection, pattern extraction, and categorization.
**Test Categories:**
**URL Validation:**
- ✅ URL matching include patterns
- ✅ URL matching exclude patterns
- ✅ Different domain rejection
- ✅ No pattern configuration
**Language Detection:**
- ✅ Detection from CSS classes (`language-*`, `lang-*`)
- ✅ Detection from parent elements
- ✅ Python detection (import, from, def)
- ✅ JavaScript detection (const, let, arrow functions)
- ✅ GDScript detection (func, var)
- ✅ C++ detection (#include, int main)
- ✅ Unknown language fallback
**Pattern Extraction:**
- ✅ Extraction with "Example:" marker
- ✅ Extraction with "Usage:" marker
- ✅ Pattern limit (max 5)
**Categorization:**
- ✅ Categorization by URL keywords
- ✅ Categorization by title keywords
- ✅ Categorization by content keywords
- ✅ Fallback to "other" category
- ✅ Empty category removal
**Text Cleaning:**
- ✅ Multiple spaces normalization
- ✅ Newline normalization
- ✅ Tab normalization
- ✅ Whitespace stripping
**Example Test:**
```python
def test_detect_python_from_heuristics(self):
"""Test Python detection from code content"""
html = '<code>import os\nfrom pathlib import Path</code>'
elem = BeautifulSoup(html, 'html.parser').find('code')
lang = self.converter.detect_language(elem, elem.get_text())
self.assertEqual(lang, 'python')
```
**Running:**
```bash
python3 run_tests.py --suite features -v
```
---
### 3. Integration Tests (`test_integration.py`)
Tests complete workflows and interactions between components.
**Test Categories:**
**Dry-Run Mode:**
- ✅ No directories created in dry-run mode
- ✅ Dry-run flag properly set
- ✅ Normal mode creates directories
**Config Loading:**
- ✅ Load valid configuration files
- ✅ Invalid JSON error handling
- ✅ Nonexistent file error handling
- ✅ Validation errors during load
**Real Config Validation:**
- ✅ Godot config validation
- ✅ React config validation
- ✅ Vue config validation
- ✅ Django config validation
- ✅ FastAPI config validation
- ✅ Steam Economy config validation
**URL Processing:**
- ✅ URL normalization
- ✅ Start URLs fallback to base_url
- ✅ Multiple start URLs handling
**Content Extraction:**
- ✅ Empty content handling
- ✅ Basic content extraction
- ✅ Code sample extraction with language detection
**Example Test:**
```python
def test_dry_run_no_directories_created(self):
"""Test that dry-run mode doesn't create directories"""
converter = DocToSkillConverter(self.config, dry_run=True)
data_dir = Path(f"output/{self.config['name']}_data")
skill_dir = Path(f"output/{self.config['name']}")
self.assertFalse(data_dir.exists())
self.assertFalse(skill_dir.exists())
```
**Running:**
```bash
python3 run_tests.py --suite integration -v
```
---
### 4. PDF Extraction Tests (`test_pdf_extractor.py`) **NEW**
Tests PDF content extraction functionality (B1.2-B1.5).
**Note:** These tests require PyMuPDF (`pip install PyMuPDF`). They will be skipped if not installed.
**Test Categories:**
**Language Detection (5 tests):**
- ✅ Python detection with confidence scoring
- ✅ JavaScript detection with confidence
- ✅ C++ detection with confidence
- ✅ Unknown language returns low confidence
- ✅ Confidence always between 0 and 1
**Syntax Validation (5 tests):**
- ✅ Valid Python syntax validation
- ✅ Invalid Python indentation detection
- ✅ Unbalanced brackets detection
- ✅ Valid JavaScript syntax validation
- ✅ Natural language fails validation
**Quality Scoring (4 tests):**
- ✅ Quality score between 0 and 10
- ✅ High-quality code gets good score (>7)
- ✅ Low-quality code gets low score (<4)
- ✅ Quality considers multiple factors
**Chapter Detection (4 tests):**
- ✅ Detect chapters with numbers
- ✅ Detect uppercase chapter headers
- ✅ Detect section headings (e.g., "2.1")
- ✅ Normal text not detected as chapter
**Code Block Merging (2 tests):**
- ✅ Merge code blocks split across pages
- ✅ Don't merge different languages
**Code Detection Methods (2 tests):**
- ✅ Pattern-based detection (keywords)
- ✅ Indent-based detection
**Quality Filtering (1 test):**
- ✅ Filter by minimum quality threshold
**Example Test:**
```python
def test_detect_python_with_confidence(self):
"""Test Python detection returns language and confidence"""
extractor = self.PDFExtractor.__new__(self.PDFExtractor)
code = "def hello():\n print('world')\n return True"
language, confidence = extractor.detect_language_from_code(code)
self.assertEqual(language, "python")
self.assertGreater(confidence, 0.7)
self.assertLessEqual(confidence, 1.0)
```
**Running:**
```bash
python3 -m pytest tests/test_pdf_extractor.py -v
```
---
### 5. PDF Workflow Tests (`test_pdf_scraper.py`) **NEW**
Tests PDF to skill conversion workflow (B1.6).
**Note:** These tests require PyMuPDF (`pip install PyMuPDF`). They will be skipped if not installed.
**Test Categories:**
**PDFToSkillConverter (3 tests):**
- ✅ Initialization with name and PDF path
- ✅ Initialization with config file
- ✅ Requires name or config_path
**Categorization (3 tests):**
- ✅ Categorize by keywords
- ✅ Categorize by chapters
- ✅ Handle missing chapters
**Skill Building (3 tests):**
- ✅ Create required directory structure
- ✅ Create SKILL.md with metadata
- ✅ Create reference files for categories
**Code Block Handling (2 tests):**
- ✅ Include code blocks in references
- ✅ Prefer high-quality code
**Image Handling (2 tests):**
- ✅ Save images to assets directory
- ✅ Reference images in markdown
**Error Handling (3 tests):**
- ✅ Handle missing PDF files
- ✅ Handle invalid config JSON
- ✅ Handle missing required config fields
**JSON Workflow (2 tests):**
- ✅ Load from extracted JSON
- ✅ Build from JSON without extraction
**Example Test:**
```python
def test_build_skill_creates_structure(self):
"""Test that build_skill creates required directory structure"""
converter = self.PDFToSkillConverter(
name="test_skill",
pdf_path="test.pdf",
output_dir=self.temp_dir
)
converter.extracted_data = {
"pages": [{"page_number": 1, "text": "Test", "code_blocks": [], "images": []}],
"total_pages": 1
}
converter.categories = {"test": [converter.extracted_data["pages"][0]]}
converter.build_skill()
skill_dir = Path(self.temp_dir) / "test_skill"
self.assertTrue(skill_dir.exists())
self.assertTrue((skill_dir / "references").exists())
self.assertTrue((skill_dir / "scripts").exists())
self.assertTrue((skill_dir / "assets").exists())
```
**Running:**
```bash
python3 -m pytest tests/test_pdf_scraper.py -v
```
---
### 6. PDF Advanced Features Tests (`test_pdf_advanced_features.py`) **NEW**
Tests advanced PDF features (Priority 2 & 3).
**Note:** These tests require PyMuPDF (`pip install PyMuPDF`). OCR tests also require pytesseract and Pillow. They will be skipped if not installed.
**Test Categories:**
**OCR Support (5 tests):**
- ✅ OCR flag initialization
- ✅ OCR disabled behavior
- ✅ OCR only triggers for minimal text
- ✅ Warning when pytesseract unavailable
- ✅ OCR extraction triggered correctly
**Password Protection (4 tests):**
- ✅ Password parameter initialization
- ✅ Encrypted PDF detection
- ✅ Wrong password handling
- ✅ Missing password error
**Table Extraction (5 tests):**
- ✅ Table extraction flag initialization
- ✅ No extraction when disabled
- ✅ Basic table extraction
- ✅ Multiple tables per page
- ✅ Error handling during extraction
**Caching (5 tests):**
- ✅ Cache initialization
- ✅ Set and get cached values
- ✅ Cache miss returns None
- ✅ Caching can be disabled
- ✅ Cache overwrite
**Parallel Processing (4 tests):**
- ✅ Parallel flag initialization
- ✅ Disabled by default
- ✅ Worker count auto-detection
- ✅ Custom worker count
**Integration (3 tests):**
- ✅ Full initialization with all features
- ✅ Various feature combinations
- ✅ Page data includes tables
**Example Test:**
```python
def test_table_extraction_basic(self):
"""Test basic table extraction"""
extractor = self.PDFExtractor.__new__(self.PDFExtractor)
extractor.extract_tables = True
extractor.verbose = False
# Create mock table
mock_table = Mock()
mock_table.extract.return_value = [
["Header 1", "Header 2", "Header 3"],
["Data 1", "Data 2", "Data 3"]
]
mock_table.bbox = (0, 0, 100, 100)
mock_tables = Mock()
mock_tables.tables = [mock_table]
mock_page = Mock()
mock_page.find_tables.return_value = mock_tables
tables = extractor.extract_tables_from_page(mock_page)
self.assertEqual(len(tables), 1)
self.assertEqual(tables[0]['row_count'], 2)
self.assertEqual(tables[0]['col_count'], 3)
```
**Running:**
```bash
python3 -m pytest tests/test_pdf_advanced_features.py -v
```
---
## Test Runner Features
The custom test runner (`run_tests.py`) provides:
### Colored Output
- 🟢 Green for passing tests
- 🔴 Red for failures and errors
- 🟡 Yellow for skipped tests
### Detailed Summary
```
======================================================================
TEST SUMMARY
======================================================================
Total Tests: 70
✓ Passed: 68
✗ Failed: 2
⊘ Skipped: 0
Success Rate: 97.1%
Test Breakdown by Category:
TestConfigValidation: 28/30 passed
TestURLValidation: 6/6 passed
TestLanguageDetection: 10/10 passed
TestPatternExtraction: 3/3 passed
TestCategorization: 5/5 passed
TestDryRunMode: 3/3 passed
TestConfigLoading: 4/4 passed
TestRealConfigFiles: 6/6 passed
TestContentExtraction: 3/3 passed
======================================================================
```
### Command-Line Options
```bash
# Verbose output (show each test name)
python3 run_tests.py -v
# Quiet output (minimal)
python3 run_tests.py -q
# Stop on first failure
python3 run_tests.py --failfast
# Run specific suite
python3 run_tests.py --suite config
# List all tests
python3 run_tests.py --list
```
---
## Running Individual Tests
### Run Single Test File
```bash
python3 -m unittest tests.test_config_validation
python3 -m unittest tests.test_scraper_features
python3 -m unittest tests.test_integration
```
### Run Single Test Class
```bash
python3 -m unittest tests.test_config_validation.TestConfigValidation
python3 -m unittest tests.test_scraper_features.TestLanguageDetection
```
### Run Single Test Method
```bash
python3 -m unittest tests.test_config_validation.TestConfigValidation.test_valid_complete_config
python3 -m unittest tests.test_scraper_features.TestLanguageDetection.test_detect_python_from_heuristics
```
---
## Test Coverage
### Current Coverage
| Component | Tests | Coverage |
|-----------|-------|----------|
| Config Validation | 30+ | 100% |
| URL Validation | 6 | 95% |
| Language Detection | 10 | 90% |
| Pattern Extraction | 3 | 85% |
| Categorization | 5 | 90% |
| Text Cleaning | 4 | 100% |
| Dry-Run Mode | 3 | 100% |
| Config Loading | 4 | 95% |
| Real Configs | 6 | 100% |
| Content Extraction | 3 | 80% |
| **PDF Extraction** | **23** | **90%** |
| **PDF Workflow** | **18** | **85%** |
| **PDF Advanced Features** | **26** | **95%** |
**Total: 142 tests (75 passing + 67 PDF tests)**
**Note:** PDF tests (67 total) require PyMuPDF and will be skipped if not installed. When PyMuPDF is available, all 142 tests run.
### Not Yet Covered
- Network operations (actual scraping)
- Enhancement scripts (`enhance_skill.py`, `enhance_skill_local.py`)
- Package creation (`package_skill.py`)
- Interactive mode
- SKILL.md generation
- Reference file creation
- PDF extraction with real PDF files (tests use mocked data)
---
## Writing New Tests
### Test Template
```python
#!/usr/bin/env python3
"""
Test suite for [feature name]
Tests [description of what's being tested]
"""
import sys
import os
import unittest
# Add parent directory to path
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from doc_scraper import DocToSkillConverter
class TestYourFeature(unittest.TestCase):
"""Test [feature] functionality"""
def setUp(self):
"""Set up test fixtures"""
self.config = {
'name': 'test',
'base_url': 'https://example.com/',
'selectors': {
'main_content': 'article',
'title': 'h1',
'code_blocks': 'pre code'
},
'rate_limit': 0.1,
'max_pages': 10
}
self.converter = DocToSkillConverter(self.config, dry_run=True)
def tearDown(self):
"""Clean up after tests"""
pass
def test_your_feature(self):
"""Test description"""
# Arrange
test_input = "something"
# Act
result = self.converter.some_method(test_input)
# Assert
self.assertEqual(result, expected_value)
if __name__ == '__main__':
unittest.main()
```
### Best Practices
1. **Use descriptive test names**: `test_valid_name_formats` not `test1`
2. **Follow AAA pattern**: Arrange, Act, Assert
3. **One assertion per test** when possible
4. **Test edge cases**: empty inputs, invalid inputs, boundary values
5. **Use setUp/tearDown**: for common initialization and cleanup
6. **Mock external dependencies**: don't make real network calls
7. **Keep tests independent**: tests should not depend on each other
8. **Use dry_run=True**: for converter tests to avoid file creation
---
## Continuous Integration
### GitHub Actions (Future)
```yaml
name: Tests
on: [push, pull_request]
jobs:
test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- uses: actions/setup-python@v2
with:
python-version: '3.7'
- run: pip install requests beautifulsoup4
- run: python3 run_tests.py
```
---
## Troubleshooting
### Tests Fail with Import Errors
```bash
# Make sure you're in the repository root
cd /path/to/Skill_Seekers
# Run tests from root directory
python3 run_tests.py
```
### Tests Create Output Directories
```bash
# Clean up test artifacts
rm -rf output/test-*
# Make sure tests use dry_run=True
# Check test setUp methods
```
### Specific Test Keeps Failing
```bash
# Run only that test with verbose output
python3 -m unittest tests.test_config_validation.TestConfigValidation.test_name -v
# Check the error message carefully
# Verify test expectations match implementation
```
---
## Performance
Test execution times:
- **Config Validation**: ~0.1 seconds (30 tests)
- **Scraper Features**: ~0.3 seconds (25 tests)
- **Integration Tests**: ~0.5 seconds (15 tests)
- **Total**: ~1 second (70 tests)
---
## Contributing Tests
When adding new features:
1. Write tests **before** implementing the feature (TDD)
2. Ensure tests cover:
- ✅ Happy path (valid inputs)
- ✅ Edge cases (empty, null, boundary values)
- ✅ Error cases (invalid inputs)
3. Run tests before committing:
```bash
python3 run_tests.py
```
4. Aim for >80% coverage for new code
---
## Additional Resources
- **unittest documentation**: https://docs.python.org/3/library/unittest.html
- **pytest** (alternative): https://pytest.org/ (more powerful, but requires installation)
- **Test-Driven Development**: https://en.wikipedia.org/wiki/Test-driven_development
---
## Summary
**142 comprehensive tests** covering all major features (75 + 67 PDF)
**PDF support testing** with 67 tests for B1 tasks + Priority 2 & 3
**Colored test runner** with detailed summaries
**Fast execution** (~1 second for full suite)
**Easy to extend** with clear patterns and templates
**Good coverage** of critical paths
**PDF Tests Status:**
- 23 tests for PDF extraction (language detection, syntax validation, quality scoring, chapter detection)
- 18 tests for PDF workflow (initialization, categorization, skill building, code/image handling)
- **26 tests for advanced features (OCR, passwords, tables, parallel, caching)** NEW!
- Tests are skipped gracefully when PyMuPDF is not installed
- Full test coverage when PyMuPDF + optional dependencies are available
**Advanced PDF Features Tested:**
- ✅ OCR support for scanned PDFs (5 tests)
- ✅ Password-protected PDFs (4 tests)
- ✅ Table extraction (5 tests)
- ✅ Parallel processing (4 tests)
- ✅ Caching (5 tests)
- ✅ Integration (3 tests)
Run tests frequently to catch bugs early! 🚀