Files
skill-seekers-reference/ROADMAP.md
yusyus d9e9fb53ad Complete comprehensive planning verification and fix gaps
Issues Found & Fixed:
-  Found 7 missing E1 tasks (E1.3-E1.9)
-  Created issues #136-#142
-  Added to project board
-  Assigned Feature Group E1

Documentation Updates:
- Updated README.md (127 → 134 tasks)
- Updated GITHUB_BOARD_SETUP_COMPLETE.md (127 → 134 tasks)
- Added complete E1 task list (#136-#142)
- Created PLANNING_VERIFICATION.md (comprehensive report)

Verification Results:
 All 134 tasks in roadmap
 All 134 GitHub issues created (#9-#142)
 All 134 items on project board
 All 22 feature groups assigned
 All 6 custom fields configured
 All documentation consistent
 No gaps or holes found

System Status: 100% COMPLETE AND VERIFIED

Files Changed:
- README.md
- GITHUB_BOARD_SETUP_COMPLETE.md
+ PLANNING_VERIFICATION.md (new)

GitHub Issues: #9-#142 (134 total)
Project Board: https://github.com/users/yusufkaraaslan/projects/2
Feature Groups: 22 (A1-J1)
Categories: 10 (A-J)
2025-10-20 23:51:47 +03:00

7.5 KiB

Skill Seeker Development 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.

🎯 New Approach: Flexible, Incremental Development

Philosophy: Small tasks → Pick one → Complete → Move on

Instead of rigid milestones, we now use a flexible task-based approach:

  • 100+ small, independent tasks across 10 categories
  • Pick any task, any order
  • Start small, ship often
  • No deadlines, just continuous progress

See: FLEXIBLE_ROADMAP.md for the complete task list!


🎯 Milestones

v1.0 - Production Release (COMPLETED - Oct 19, 2025)

Released: October 19, 2025 | Tag: v1.0.0

Core Features

  • Documentation scraping with BFS
  • Smart categorization
  • Language detection
  • Pattern extraction
  • 12 preset configurations (Godot, React, Vue, Django, FastAPI, Tailwind, Kubernetes, Astro, etc.)
  • Comprehensive test suite (14 tests, 100% pass rate)

MCP Integration

  • Monorepo refactor (cli/ and mcp/)
  • MCP server with 9 tools (fully functional)
  • All MCP tools tested and working
  • Complete MCP documentation
  • Setup automation (setup_mcp.sh)

Large Documentation Support

  • Config splitting for 40K+ page docs
  • Router/hub skill generation
  • Checkpoint/resume functionality
  • Parallel scraping support

Auto-Upload Feature

  • Smart API key detection
  • Automatic upload to Claude
  • Cross-platform folder opening
  • Graceful fallback to manual upload

Statistics:

  • 9 MCP tools (fully working)
  • 12 preset configurations
  • 14/14 tests passing (100%)
  • ~3,800 lines of code
  • Complete documentation suite

📋 Task Categories (Flexible Development)

See FLEXIBLE_ROADMAP.md for detailed task breakdown.

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

📋 v1.1 - Website Launch (PLANNED) → Now flexible tasks!

Goal: Create professional website and community presence Timeline: November 2025 (Due: Nov 3, 2025)

Features:

  • Professional landing page (skillseekersweb.com)
  • Documentation migration to website
  • Preset showcase gallery (interactive)
  • Blog with release notes and tutorials
  • SEO optimization
  • Analytics integration

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:

  • Web UI for config generation
  • GitHub Actions integration
  • Skill marketplace
  • Analytics dashboard
  • API for programmatic access

🎨 Feature Ideas

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

Medium Priority

  1. Skill Quality Score - Rate generated skills
  2. Enhanced SKILL.md - Better templates, more examples
  3. Documentation Framework Detection - Auto-detect Docusaurus, VuePress, etc.
  4. Custom Categories AI - Use AI to suggest categories

Low Priority

  1. Web Dashboard - Browser-based interface
  2. Skill Analytics - Track usage, quality metrics
  3. Community Configs - Share and discover configs
  4. 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)

  • 🎯 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
  • 🎯 Auto-detection for 80%+ of sites
  • 🎯 <1 minute skill generation
  • 🎯 Community contributions
  • 🎯 Quality scoring system

🤝 Contributing

See CONTRIBUTING.md for:

  • How to add new MCP tools
  • Testing guidelines
  • Code style
  • PR process

📅 Release Schedule

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


Last Updated: October 20, 2025