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Found 6,423 Skills
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'.
[QianWen] Configure authentication (API keys, endpoints). TRIGGER when: setting up QIANWEN_API_KEY, troubleshooting 401/auth errors, when another skill reports missing credentials, or user explicitly invokes this skill by name (e.g. use qianwen-ops-auth). DO NOT TRIGGER when: non-auth Qwen tasks, general API usage questions.
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.
Manage tasks via Overseer codemode MCP. Use when tracking multi-session work, breaking down implementation, or persisting context for handoffs.
Iterative planning with Planner, Architect, and Critic until consensus
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.