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Found 424 Skills
Maps the directory structure of the project to help the AI understand the codebase layout.
Correlates performance targets with actual profiling results. Identifies bottlenecks and validates against non-functional requirements.
Manages the graceful decommissioning of underused or high-maintenance features. Plans deprecation cycles, handles data archiving, and generates migration paths for legacy users.
Render text from templates (Mustache/EJS) and data.
Prepares and audits high-quality datasets for AI/RAG applications. Cleans noise, structure data, and ensures privacy compliance in knowledge bases.
Inject knowledge into JSON data context.
Performs Technical Due Diligence on startups. Analyzes code (if available) or evaluates public signals (hiring, blogs) to assess technical risk and team maturity.
Unified gateway for all document generation tasks. Automatically routes to specialized artisan skills based on the requested format (PDF, DOCX, XLSX, PPTX, HTML).
Guide for creating and reviewing requirements definitions based on IPA standards. Provides best practices for business analysis, process mapping, data modeling, and review checklists.
Performs active security "war gaming" by attempting to exploit identified vulnerabilities in a sandbox. Validates threat reality beyond static scans.
Analyzes runtime errors and logs to draft improvement requirements. Bridges the gap between Operations and Development.
Generates diverse AI user personas to autonomously test applications. Simulates beginners, power users, and users with accessibility needs to discover hidden UI/UX flaws.