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Found 6,713 Skills
Human reviewer self-review for backend PRs — naming, complexity, DB schema, test design, type precision. Use when user says "review my PR", "check my PR", "human review", or wants design/readability feedback. Applies to any TypeScript backend; pair with pr-review-frontend for full-stack PRs.
Help with MongoDB query optimization and indexing. Use only when the user asks for optimization or performance: "How do I optimize this query?", "How do I index this?", "Why is this query slow?", "Can you fix my slow queries?", "What are the slow queries on my cluster?", etc. Do not invoke for general MongoDB query writing unless user asks for performance or index help. Prefer indexing as optimization strategy. Use MongoDB MCP when available.
Use when designing APIs, Architecture, Security, or Scalability for Node, Python, Go, or Java backend systems.
Nuclear-grade 16-agent pre-publish release gate. Runs /get-unpublished-changes to detect all changes since last npm release, spawns up to 10 ultrabrain agents for deep per-change analysis, invokes /review-work (5 agents) for holistic review, and 1 oracle for overall release synthesis. Use before EVERY npm publish. Triggers: 'pre-publish review', 'review before publish', 'release review', 'pre-release review', 'ready to publish?', 'can I publish?', 'pre-publish', 'safe to publish', 'publishing review', 'pre-publish check'.
This skill should be used when a team wants to create or refine the technical guidelines document — for example "create the tech steering doc", "document our tech stack", "write the technical guidelines", "document our architecture decisions", "set up the tech steering", or "update the tech doc". Generates docs/steering/TECH.md as a living document capturing the stack, architecture patterns, constraints, commands, and ADRs. Generated once and refined — not regenerated from scratch.
개발 DB에 SQL을 직접 실행하여 데이터를 조회하는 스킬. "DB 확인", "데이터 조회", "테이블 조회", "SQL 실행", "데이터 검증" 키워드로 트리거. AI 에이전트가 백엔드/프론트엔드 개발 중 개발 DB 데이터를 즉시 확인할 때 사용.
Resolve PR review feedback by evaluating validity and fixing issues in parallel. Use when addressing PR review comments, resolving review threads, or fixing code review feedback.
Explain how claude-mem captures observations, when memory injection kicks in, and where data lives. Use when the user asks "how does claude-mem work?" or "what is this thing doing?".
Use when the user asks to design RAG pipelines, optimize retrieval strategies, choose embedding models, implement vector search, or build knowledge retrieval systems.
使用 agency-agents-zh 中文 AI 智能体角色库，为 AI 编程工具提供 215 个即插即用的专家角色
Guide for using the Pinecone CLI (pc) to manage Pinecone resources from the terminal. The CLI supports ALL index types (standard, integrated, sparse) and all vector operations — unlike the MCP which only supports integrated indexes. Use for batch operations, vector management, backups, namespaces, CI/CD automation, and full control over Pinecone resources.
Capture and manage decisions, commitments, ideas, sessions, and knowledge. The core data management skill for the secretary plugin.