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Found 2,032 Skills
Systematically gather comprehensive travel itinerary requirements through structured discovery questions, MCP-powered research (Perplexity, Exa), and expert detail gathering. Use when users request travel planning, itinerary creation, or trip assistance requiring deep research and personalized requirements gathering. Outputs detailed requirements specification with day-by-day itineraries.
Index YouTube channel videos and transcripts for semantic search. Use when user says "index YouTube", "add YouTube channel", "update video index", or "index transcripts". Works with solograph MCP (if available) or standalone via yt-dlp.
Build Python agents with Agentica SDK - @agentic decorator, spawn(), persistence, MCP integration
Extract startup ideas from YouTube videos via solograph MCP — index, search, and analyze video transcripts for business ideas. Multi-MCP coordination pattern (YouTube source → analysis → storage). Use when user says "extract ideas from YouTube", "index YouTube video", "find startup ideas in video", "analyze YouTube for ideas", or "what ideas are in this video". Do NOT use for general YouTube watching (no skill needed) or content creation (use /content-gen).
Create, validate, and convert skills for the agent ecosystem. Enforces standardized structure for consistency. Enables self-evolution by creating new skills on demand, converting MCP servers and codebases to skills.
M3-compliant UI components (buttons, cards, forms, inputs). USE WHEN: creating components <300 lines, M3 migrations, Design System work. NOT FOR: complete screens, features with business logic (use flutter-developer). Always validate M3 components with MCP tools before creating custom. Examples: <example> Context: Need to migrate a button component to M3. user: "Migrate BukeerButton to Material Design 3" assistant: "I'll use flutter-ui-components to migrate BukeerButton to M3." <commentary>UI component migration is flutter-ui-components specialty.</commentary> </example> <example> Context: Create a new reusable form field. user: "Create a new date picker input component following M3" assistant: "I'll use flutter-ui-components to create the M3-compliant date picker." <commentary>Single UI components should be handled by flutter-ui-components.</commentary> </example>
Automate Make (Integromat) tasks via Rube MCP (Composio): operations, enums, language and timezone lookups. Always search tools first for current schemas.
Automate Slack messaging, channel management, search, reactions, and threads via Rube MCP (Composio). Send messages, search conversations, manage channels/users, and react to messages programmatically.
Automate GitHub repositories, issues, pull requests, branches, CI/CD, and permissions via Rube MCP (Composio). Manage code workflows, review PRs, search code, and handle deployments programmatically.
스마일게이트 업무 도구(Slack, Jira, Confluence, BISKIT, API Docs)를 Claude Code에 연결하는 설정 가이드. 비개발자도 따라할 수 있도록 단계별로 안내한다. "커넥터", "connector", "MCP 설정", "jira 연결", "confluence 연결", "slack 연결", "biskit 연결", "비스킷 연결", "apidocs 연결", "api docs 연결" 요청에 사용.
Integrate PICA into an application using the OpenAI Agents SDK. Use when adding PICA tools to an OpenAI agent via @openai/agents, setting up PICA MCP with the OpenAI Agents SDK, or when the user mentions PICA with OpenAI Agents.
Captures quality metrics baseline (tests, coverage, type errors, linting, dead code) by running quality gates and storing results in memory for regression detection. Use at feature start, before refactor work, or after major changes to establish baseline. Triggers on "capture baseline", "establish baseline", or PROACTIVELY at start of any feature/refactor work. Works with pytest output, pyright errors, ruff warnings, vulture results, and memory MCP server for baseline storage.