GitHub
review-code
Multi-dimensional code review with rule-based analysis. Covers security, architecture, correctness, performance, readability, and testing dimensions.
☆ 15View skill
signalridge AI Skills
GitHub ↗Browse published AI skills maintained by signalridge. Compare skill descriptions and follow each source repository for setup instructions.
Author statistics
Indexed skills
8Repository stars across indexed skills
120Repository forks
23Average repository stars per indexed skill
15Repository stars may repeat across skills from the same repository.
Popular categories
Recent indexing activity
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GitHub
verification-before-completion
Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before as...
☆ 15View skill
GitHub
writing-skills
Use when creating new skills, editing existing skills, or verifying skills work before deployment
☆ 15View skill
GitHub
writing-plans
Use when you have a spec or requirements for a multi-step task, before touching code
☆ 15View skill
GitHub
finishing-a-development-branch
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
☆ 15View skill
GitHub
receiving-code-review
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement...
☆ 15View skill
GitHub
requesting-code-review
Use when completing tasks, implementing major features, or before merging to verify work meets requirements
☆ 15View skill
GitHub
using-git-worktrees
Use when starting feature work that needs isolation from current workspace or before executing implementation plans - creates isolated git worktrees with smart directory selection and safety verification
☆ 15View skill
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.