Browse published AI skills maintained by tianjianjiang. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
31Repository stars across indexed skills
0Repository forks
0Average repository stars per indexed skill
0Repository stars may repeat across skills from the same repository.
Python development with uv, pytest, ruff, and type hints. Use when writing Python code, running tests, managing Python packages, or working with virtual environments. Covers import organization, type hints, pyt...
SOLID principles and architecture design patterns. Use when starting new features, refactoring code, conducting architecture reviews, or applying object-oriented design principles.
Incident postmortem methodology and templates. Use when conducting incident postmortems, writing postmortem reports, establishing postmortem processes, or performing post-incident analysis.
Ralph Loop integration patterns for iterative AI development. Use when starting Ralph loops, managing iterations, or recovering from context compaction. Covers TDD, debugging, context management, and memory per...
Core agent steering with HHH framework (Helpful, Honest, Harmless), exploration-before-implementation workflow, and anti-sycophancy rules. Use when guiding AI agent behavior, handling disagreements, or establis...
Placeholder syntax standards for documentation and prompts. Use when writing prompts, documentation, pattern descriptions, or any content with user-substitutable values.
Stacked pull request workflows for large features. Use when creating stacked PRs, managing dependent PRs, or rebasing after parent merges. Covers stack creation, merge order, and squash merge handling.
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.