fix-sentry-issues
Use Sentry MCP to discover, triage, and fix production issues with root-cause analysis. Use when asked to fix Sentry issues, triage production errors, investigate error spikes, or clean up Sentry noise. Require...
Browse published AI skills maintained by brianlovin. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
9Repository stars across indexed skills
1,752Repository forks
183Average repository stars per indexed skill
195Repository stars may repeat across skills from the same repository.
Use Sentry MCP to discover, triage, and fix production issues with root-cause analysis. Use when asked to fix Sentry issues, triage production errors, investigate error spikes, or clean up Sentry noise. Require...
Run knip to find and remove unused files, dependencies, and exports. Use for cleaning up dead code and unused dependencies.
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web appl...
Remove AI-generated code slop from the current branch. Use after writing code to clean up unnecessary comments, defensive checks, and inconsistent style.
Simplify and refine recently modified code for clarity and consistency. Use after writing code to improve readability without changing functionality.
Run accessibility and visual design review on components. Use when reviewing UI code for WCAG compliance and design issues.
Run knip to find and remove unused files, dependencies, and exports. Use for cleaning up dead code and unused dependencies.
Refactor CLAUDE.md files to follow progressive disclosure principles. Use when CLAUDE.md is too long or disorganized.
Generate a complete set of favicons from a source image and update HTML. Use when setting up favicons for a web project.
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.