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Found 2,997 Skills
Captures human source verification for tracks, timestamps it, and updates track files. Use when sources need human review before generation.
Comprehensively reviews Python libraries for quality across project structure, packaging, code quality, testing, security, documentation, API design, and CI/CD. Provides actionable feedback and improvement recommendations. Use when evaluating library health, preparing for major releases, or auditing dependencies.
Comprehensive content review and quality assurance for TASKS documents - validates task completeness, SPEC alignment, implementation contracts, and identifies issues requiring manual attention
Review code for bugs, security vulnerabilities, performance issues, and maintainability. Trigger with "review this code", "check this PR", "look at this diff", "is this code safe?", or when the user shares code and asks for feedback.
Can be used when understanding, creating or modifying an RWX CI/CD config.
Explain and document MTHDS bundles. Use when user says "what does this pipeline do?", "explain this workflow", "explain this method", "walk me through this .mthds file", "describe the flow", "document this pipeline", "how does this work?", or wants to understand an existing MTHDS method bundle.
Comprehensive toolkit for validating, linting, testing, and automating Ansible playbooks, roles, and collections. Use this skill when working with Ansible files (.yml, .yaml playbooks, roles, inventories), validating automation code, debugging playbook execution, performing dry-run testing with check mode, or working with custom modules and collections.
Surface, prioritize, and track risky assumptions before investing significant effort. Use when starting a new project, before major feature work, when feeling uncertain about direction, when the user says "I think users want...", "we assume...", "probably...", or before any build decision that hasn't been validated with real users.
Minimal smoke test for RDS Supabase skill. Validate endpoint reachability and one list/detail API.
Create and validate Mermaid diagrams in markdown files
Systematically verifies suspected security bugs to eliminate false positives. Produces TRUE POSITIVE or FALSE POSITIVE verdicts with documented evidence for each bug.
Expert guide for Schema.org structured data and JSON-LD implementation. Use when creating schema markup, validating structured data, implementing rich results (FAQ, HowTo, Product, Article, LocalBusiness, Breadcrumb, Organization, etc.), troubleshooting rich snippet eligibility, or understanding Google's structured data requirements.