codeql
Perform deep security analysis on codebases using CodeQL for interprocedural data flow, taint tracking, and automated vulnerability detection across multiple languages.
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318 skills found
Perform deep security analysis on codebases using CodeQL for interprocedural data flow, taint tracking, and automated vulnerability detection across multiple languages.
An AI-powered TestOps platform and MCP server providing automated failure analysis, RCA matching, and intelligent test orchestration for CI/CD pipelines.
Evidence-first literature collector for automated research pipelines. Scales paper pools to 1200+ with metadata normalization, provenance tracking, and multi-source ingestion.
Detect and resolve TypeScript/JavaScript circular import dependencies. Solves runtime errors like 'Cannot access X before initialization' and 'undefined' imports caused by module cycle initialization order.
Standardize frontend communication by documenting data requirements and business rules for backend developers, ensuring clear alignment without dictating implementation details.
Token-efficient codebase navigation through intelligent symbol indexing, domain chunking, and architectural layer filtering. Reduce token usage by 60-95% when exploring or developing complex systems.
Build systematic evaluation frameworks for AI agents using multi-dimensional rubrics, LLM-as-a-judge, and regression testing to measure performance, quality, and context engineering effectiveness.
An Obsidian vault curator for identifying stub notes, detecting duplicates, fixing outdated information, and improving documentation quality in both English and Korean.
Structured, template-driven workflow for end-to-end feature development including coding, automated testing, verification, and session-based improvement.
Conduct strategic competitive analysis to map market landscapes, identify direct competitors, synthesize strengths and weaknesses, and uncover differentiation opportunities.
Search the web for real-time information, technical documentation, or research topics using WebSearch and WebFetch tools.
Systematic methodology for reproducing published academic papers using provided data, including sample selection, statistical verification, and automated reporting.