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Found 2,397 Skills
Help users make better decisions between competing options. Use when someone is weighing pros and cons, comparing alternatives, struggling with a difficult choice, deciding between speed and quality, or asking "should we do X or Y?"
Evaluate and improve Claude Code commands, skills, and agents. Use when testing prompt effectiveness, validating context engineering choices, or measuring improvement quality.
Evaluate and score based on the evaluation criteria for vertical short dramas, covering dimensions such as core appealing points and story types. It is suitable for assessing the potential of adapting stories into vertical short dramas and analyzing market competitiveness
Use when "evaluating technology", "choosing frameworks", "stack comparison", "technology decisions", or asking about "React vs Vue", "PostgreSQL vs MySQL", "AWS vs GCP", "build vs buy"
Evaluates ML models for performance, fairness, and reliability. Use for metric selection, cross-validation strategies, overfitting/underfitting diagnosis, hyperparameter tuning, LLM evaluation, A/B testing, and production monitoring for model drift.
MLflow 3 GenAI agent evaluation. Use when writing mlflow.genai.evaluate() code, creating @scorer functions, using built-in scorers (Guidelines, Correctness, Safety, RetrievalGroundedness), building eval datasets from traces, setting up trace ingestion and production monitoring, aligning judges with MemAlign from domain expert feedback, or running optimize_prompts() with GEPA for automated prompt improvement.
Evaluates a flow or screen against Jakob Nielsen's 10 usability heuristics (visibility of system status, match with the real world, user control, consistency, error prevention, recognition over recall, flexibility, minimalist design, error recovery, help and documentation) and reports concrete violations. Use for a fast, structured usability pass independent of visual polish.
Build evaluation frameworks for agent systems. Use when testing agent performance, validating context engineering choices, or measuring improvements over time.
Comprehensive security and privacy evaluation system for MCP (Model Context Protocol) servers. Use when users provide GitHub URLs to MCP servers and request security assessment, privacy evaluation, or ask "is this MCP safe to use." Evaluates security vulnerabilities, privacy risks, code quality, community feedback, and provides actionable recommendations with risk scoring.
mlua (MapleStory Worlds) 코드 작성/수정 시 MSW 공식 LSP 서버를 래핑한 CLI로 진단, 자동완성, 타입 조회, 정의 이동, 참조 검색, 시그니처 도움을 수행하는 스킬. MSW 프로젝트에서 .mlua 파일을 다룰 때 반드시 사용. mlua 코드를 쓸 때, MSW 스크립트를 만들 때, 메이플스토리 월드 개발 시 항상 트리거.
Compatibility router for LangWatch evaluation requests. Use only when the user asks for evaluations without making it clear whether they mean pre-deployment experiments or production online evaluations. Routes the request to the focused companion skill and does not implement either workflow itself.
Help users design and execute a high-signal interview process that prioritizes real-world performance over superficial charisma or pedigree.