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)

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
Task A1.2: Add MCP tool fetch_config to download from website
Task A1.3: Create basic config upload form (HTML + backend)
Task A1.4: Add config rating/voting system
Task A1.5: Add config search/filter functionality
Task A1.6: Add user-submitted config review queue

Start Small: ~~Pick A1.1 first (simple JSON endpoint)~~ ✅ A1.1 Complete! Pick A1.2 next (MCP 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

Task C3.1: Detect common patterns (singleton, factory, etc.)
Task C3.2: Extract usage examples from test files
Task C3.3: Build "how to" guides from code
Task C3.4: Extract configuration patterns
Task C3.5: Create architectural overview

Start Small: Pick C3.1 first (pattern detection research)

🔌 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)
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
Task E2.6: Add retry logic for network failures

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)
Task F1.5: Add network retry with exponential backoff
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):

H1.1 - Respond to Issue #8 (community engagement)
J1.1 - Install MCP package (fix tests)
A3.1 - Create simple GitHub Pages site (single HTML)
B1.1 - Research PDF parsing (no coding, just notes)
F1.1 - Add URL normalization (small code fix)

Medium Tasks (3-5 hours each):

A1.1 - Create JSON API for configs (simple endpoint) ✅ COMPLETE
G1.1 - Create config validator script
C1.1 - GitHub API client (basic connection)
I1.1 - Write Quick Start video script
E2.1 - Add error handling to one MCP tool

Bigger Tasks (5-10 hours each):

B1.2-B1.6 - Complete PDF scraper
C1.7-C1.9 - Complete GitHub scraper
A2.1-A2.3 - Knowledge sharing foundation
I1.2 - Record and publish Quick Start video

📊 Progress Tracking

Completed Tasks: 1 (A1.1 ✅) In Progress: 0 Total Available Tasks: 134

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

Pick any task, any order - No dependencies (mostly)
Start small - Research tasks before implementation
One task at a time - Focus, complete, move on
Switch anytime - Not enjoying it? Pick another!
Document as you go - Each task should update docs
Test incrementally - Each task should have a quick test
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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