initializing-project
Intelligent project analysis with auto-framework detection and adaptive setup. Use when user wants to initialize Quaestor, setup a new project, or analyze existing project structure.
Browse published AI skills maintained by jeanluciano. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
7Repository stars across indexed skills
140Repository forks
14Average repository stars per indexed skill
20Repository stars may repeat across skills from the same repository.
Intelligent project analysis with auto-framework detection and adaptive setup. Use when user wants to initialize Quaestor, setup a new project, or analyze existing project structure.
Create, manage, and track specifications through their full lifecycle from draft to completion. Use when user wants to plan features, create specs, check progress, activate work, or complete specifications.
Validate quality with multi-agent review, auto-fix issues, generate organized commits, and create PRs with rich context. Use after completing features to ensure quality gates pass and ship confidently.
Execute specification-driven implementation with automatic quality gates, multi-agent orchestration, and progress tracking. Use when building features from specs, fixing bugs with test coverage, or refactoring...
Systematically debug issues with reproduction steps, error analysis, hypothesis testing, and root cause fixes. Use when investigating bugs, analyzing production incidents, or troubleshooting unexpected behavior...
Optimize performance with profiling, caching strategies, database query optimization, and bottleneck analysis. Use when improving response times, implementing caching layers, or scaling for high load.
Audit security with vulnerability scanning, input validation checks, and auth/authz review against OWASP Top 10. Use when implementing authentication, reviewing security-sensitive code, or conducting security a...
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.