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Found 6,668 Skills
Document codebase as-is with research directory for historical context
Analyze requirements during the functional design and problem diagnosis stages to develop executable solutions, and output user-facing and AI-facing action documents separately.
Uncle Huang's Private Advisory Board — a business decision think tank composed of 12 top thinkers. With a structured private advisory board process, different cognitive frameworks collide to produce optimal decisions. Trigger scenarios: - Users say "start a private advisory board", "invite the think tank", "help me make decisions" - Users say "Private Advisory Board: [topic]", "Let the experts discuss this matter" - Users use the /私董会 or /advisory-board command - Users face major business decisions requiring multi-perspective analysis Non-trigger scenarios: - Simple operational issues (how to publish, how to typeset) - Pure technical issues (code debugging) - Daily content creation (use article-writer / topic-partner) - Personal emotional counseling (use life-coach)
Onboard a project to LaunchDarkly: kickoff roadmap, resumable log, explore repo, MCP, companion flag skills, nested SDK install (detect/plan/apply), first flag. Use when adding LaunchDarkly, setting up or integrating feature flags in a project, SDK integration, or 'onboard me'.
Every Discovery v2 endpoint plus offline search, multi-venue watchlists, residency dedup, and on-sale tracking no... Trigger phrases: `what concerts in <city> this weekend`, `what's playing at <venue>`, `where is <artist> playing`, `presale watch`, `ticketmaster events`, `use ticketmaster`, `run ticketmaster`.
Deep research powered by Exa. Use for lead generation, literature reviews, deep dives, competitive analysis, or any query where one search falls short, including phrases like 'research this', 'find everything about', 'find me all', or 'deep dive on'.
사용자가 지정한 상위 모델을 Advisor로 세워 현재 작업의 결정점에서 컨설트한다. 접근 확정 전 검토, 완료 선언 전 검증, 막힘 진단에 쓴다. advisor 모델은 디폴트 없이 호출 시 사용자가 직접 지정하며, 미지정이면 동작하지 않는다. 사용자가 /advisor-strategy로 호출한 경우에만 실행한다.
Manage Model Context Protocol (MCP) servers - discover, analyze, and execute tools/prompts/resources from configured MCP servers. Use when working with MCP integrations, need to discover available MCP capabilities, filter MCP tools for specific tasks, execute MCP tools programmatically, access MCP prompts/resources, or implement MCP client functionality. Supports intelligent tool selection, multi-server management, and context-efficient capability discovery.
Use this skill when working with scientific research tools and workflows across bioinformatics, cheminformatics, genomics, structural biology, proteomics, and drug discovery. This skill provides access to 600+ scientific tools including machine learning models, datasets, APIs, and analysis packages. Use when searching for scientific tools, executing computational biology workflows, composing multi-step research pipelines, accessing databases like OpenTargets/PubChem/UniProt/PDB/ChEMBL, performing tool discovery for research tasks, or integrating scientific computational resources into LLM workflows.
Parallel execution engine for high-throughput task completion
Hand off to a fresh Claude session. Use when context is full, you've finished a logical chunk of work, or need a fresh perspective. Work continues from hook.
Creating and maintaining CLAUDE.md project memory files that provide non-obvious codebase context. Use when (1) creating a new CLAUDE.md for a project, (2) adding architectural patterns or design decisions to existing CLAUDE.md, (3) capturing project-specific conventions that aren't obvious from code inspection.