Browse published AI skills maintained by eferro. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
7Repository stars across indexed skills
62Repository forks
0Average repository stars per indexed skill
9Repository stars may repeat across skills from the same repository.
Mutation testing patterns for JavaScript and TypeScript using Stryker. Use when analyzing JavaScript/TypeScript branch code to find weak or missing tests, verifying test effectiveness in JS/TS projects, or stre...
Mutation testing patterns for Python using mutmut. Use when analyzing Python code to find weak or missing tests, verifying pytest effectiveness, strengthening Python test suites, or validating TDD workflows in...
Analyze and improve test code quality using Kent Beck's Test Desiderata framework. Use when analyzing test files, reviewing test code, identifying test quality issues, suggesting test improvements, or when aske...
Breaks down ANY work into 1-3 hour micro-steps with zero downtime. Use for large refactorings, technical improvements, debugging, research, migrations, or any work that feels too big or risky. Automatically app...
Applies the Hamburger Method to slice features into vertical deliverable pieces. Use when user asks how to slice work, break down features into layers, or wants to deliver incrementally. Helps generate 4-5 opti...
Expert at detecting stories that are too big and applying splitting heuristics. Use when user describes work that seems large, mentions multiple features in one story, or needs help breaking down requirements....
Reviews technical proposals and architectural decisions against 30 complexity dimensions. Use when user proposes technical solutions, designs systems, or evaluates architectural choices. Questions necessity of...
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.