Browse published AI skills maintained by xbklairith. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
13Repository stars across indexed skills
13Repository forks
13Average repository stars per indexed skill
1Repository stars may repeat across skills from the same repository.
Use when converting strategy documentation to code - translates markdown strategy docs into Python functions (for backtesting frameworks like Backtrader) and TradingView Pine Script. Activates when user says "c...
Use when writing tests, debugging failures, or investigating bugs - provides TDD guidance, test generation patterns, systematic debugging framework. Activates when user says "write tests", "this test fails", "d...
Use when identifying chart patterns or setups - recognizes candlestick patterns (head and shoulders, double top/bottom, triangles), documents pattern library with entry/exit criteria. Activates when user says "...
Use when reviewing code or before commits - runs 25-point quality checklist (structure, errors, security, performance, testing), identifies code smells, suggests refactorings with examples. Activates when user...
Use when implementing features/bugfixes to enforce strict TDD discipline - enforces RED (write failing test), GREEN (minimal code), REFACTOR cycle with no exceptions. Prevents "test after" trap, catches rationa...
Use when analyzing markets or interpreting charts - applies technical indicators (RSI, MACD, Moving Averages), identifies support/resistance, analyzes multi-timeframe trends, checks fundamentals and sentiment....
Use when ready to implement designed features - breaks design into TDD tasks (Red-Green-Refactor), tracks progress with checkboxes in tasks.md, enforces strict testing discipline. Activates when user says "impl...
Use when developing or documenting trading strategies - guides edge hypothesis formation, validates statistical significance, documents strategy rules systematically (entry, exit, risk management). Activates wh...
Create distinctive, production-grade frontend interfaces with high design quality. Use when user asks to build web components, pages, or applications. Activates when user says "build UI", "create component", "d...
Use when planning new features or need structured requirements - creates feature structure, elicits EARS requirements through systematic questioning, proposes architectural approaches with trade-offs. Activates...
Use when working with git operations - generates smart commit messages (present tense, imperative), manages branches, creates PRs with summaries, follows git best practices. Activates when user says "commit thi...
Use when creating new skills or editing existing skills - combines official skill authoring best practices with TDD methodology (test with subagents before deployment, iterate until bulletproof). Activates when...
Use when exploring unclear requirements or architectural decisions - refines rough ideas into clear requirements/designs through collaborative questioning (one at a time), explores alternatives, validates incre...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.