skill-seekers-reference/ROADMAP.md

Skill Seekers Roadmap

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.

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🎯 Current Status: v2.6.0 ✅

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

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🧭 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

Philosophy: Small steps → Consistent progress → Compound results

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📋 Task-Based Roadmap (136 Tasks, 10 Categories)

🌐 Category A: Community & Sharing

Small tasks that build community features incrementally

A1: Config Sharing (Website Feature)

• 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
• 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
• 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

Start Next: Pick A1.3 (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
• 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)

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🛠️ 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

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💻 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

• Task C3.1: Detect common patterns (singleton, factory, etc.) ✅ v2.6.0
  • 10 GoF patterns, 9 languages, 87% precision
• 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
• Task C3.6: AI Enhancement for Pattern Detection ✅ v2.6.0
  • Claude API integration for enhanced insights
• 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)

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🔌 Category D: Context7 Integration

• Task D1.1-D1.4: Research and planning
• Task D2.1-D2.5: Basic integration

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🚀 Category E: MCP Enhancements

Small improvements to existing MCP tools

E1: New MCP Tools

• 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
• Task E2.6: Add retry logic for network failures ✅ Utilities ready

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⚡ 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
• 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

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🎨 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

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📚 Category H: Community Response

• Task H1.1-H1.5: Address open GitHub issues

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🎓 Category I: Content & Documentation

• Task I1.1-I1.6: Video tutorials
• Task I2.1-I2.5: Written guides

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🧪 Category J: Testing & Quality

• Task J1.1-J1.6: Test expansion and coverage

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🎯 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

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📊 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
• MCP server with 9 tools
• Large documentation support (40K+ pages)
• Auto-upload functionality

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📅 Release Planning

Release: v2.7.0 (Estimated: February 2026)

Focus: Router Quality Improvements & Multi-Source Maturity

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

Planned Features:

• GitHub Pages website (skillseekersweb.com)
• Interactive documentation
• Config submission workflow
• Community showcase
• Video tutorials

Release: v2.9.0 (Estimated: Q2 2026)

Focus: Developer Experience & Integrations

Planned Features:

• Web UI for config generation
• CI/CD integration examples
• Docker containerization
• Enhanced scraping formats (Sphinx, Docusaurus detection)
• Performance optimizations

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🔮 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

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

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📈 Metrics & Goals

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

Goals for v2.7-v2.9

• 🎯 Professional website live
• 🎯 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
• 🎯 Active community marketplace
• 🎯 Quality scoring system
• 🎯 Real-time monitoring

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🤝 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
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 for detailed guidelines.

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🎨 Flexibility Rules

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

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📊 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! ✨

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🔗 Related Projects

• Model Context Protocol
• Claude Code
• Anthropic Claude
• Documentation frameworks we support: Docusaurus, GitBook, VuePress, Sphinx, MkDocs

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📚 Learn More

• Project Board: https://github.com/users/yusufkaraaslan/projects/2
• Changelog: CHANGELOG.md
• Contributing: CONTRIBUTING.md
• Discussions: https://github.com/yusufkaraaslan/Skill_Seekers/discussions
• Issues: https://github.com/yusufkaraaslan/Skill_Seekers/issues

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Last Updated: January 14, 2026 Philosophy: Small steps → Consistent progress → Compound results

Together, we're building the future of documentation-to-AI skill conversion! 🚀