Browse published AI skills maintained by betamatt. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
5Repository stars across indexed skills
0Repository forks
0Average repository stars per indexed skill
0Repository stars may repeat across skills from the same repository.
This skill should be used when the user asks about "spec methodology", "specification workflow", "spec-driven development", "how to write specs", "spec best practices", "specification templates", or needs guida...
This skill should be used when the user asks about "code review best practices", "how to review code", "review methodology", "code review framework", "impact prioritization", "root cause analysis", or needs gui...
This skill should be used when the user asks about "Rails testing", "RSpec", "Minitest", "request specs", "system specs", "FactoryBot", "fixtures", "test coverage", "testing controllers", "testing models", "int...
This skill should be used when the user is working in a Rails 7+ application and asks about "Rails conventions", "naming conventions", "Rails structure", "Hotwire patterns", "Turbo frames", "Stimulus controller...
This skill should be used when the user asks about "ActiveRecord", "database queries", "query optimization", "N+1 queries", "eager loading", "associations", "migrations", "database indexes", "SQL performance",...
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.