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Found 10,110 Skills
Build AI agents on Cloudflare Workers with MCP integration, tool use, and LLM providers.
Sevdesk: Rechnungen/Angebote/Kontakte via read-first CLI (guarded writes) + context snapshots for agent handoffs.
Use when automating browser interactions via CLI, filling forms, taking screenshots, scraping pages, or asking about "agent-browser", "browser automation", "headless browser", "web scraping", "form filling", "Vercel browser"
Scans all skill directories in the repository to generate a comprehensive global map of agent capabilities, inputs, and outputs. Use when you need to understand the full potential of your agent library or when a master agent needs to decide which sub-agent skill to invoke for a complex task.
Identifies and manages execution dependencies between agent skills by analyzing their inputs and outputs. Use when building multi-step agent workflows to ensure skills are executed in the correct order and that all required data is available.
Synchronize work between Antigravity and Claude Code agents
Activates when the user asks about Agent Skills, wants to find reusable AI capabilities, needs to install skills, or mentions skills for Claude. Use for discovering, retrieving, and installing skills.
Assistive AI와 Agentic AI의 차이, ReAct 루프, Tool Use, MCP 개념을 학습시키는 모듈.
Reinstall all AgentOps skills globally from the latest source. Triggers: "update skills", "reinstall skills", "sync skills".
Browser automation via Playwright CLI. Open pages, interact with elements, take screenshots, and more. Ideal for coding agents and automated testing workflows.
Develop @ant-design/agentic-ui components for AI chat interfaces. Use when creating thought chain visualization, tool call displays, markdown editors, bubble components, workspace panels, or any agentic UI development. Triggers on keywords like bubble, thought chain, tool use, markdown editor, workspace, chat layout, agentic.
Optimizes markdown documents for token efficiency, clarity, and LLM consumption. Use when (1) a markdown file needs streamlining for use as LLM context, (2) reducing token count in documentation without losing meaning, (3) converting verbose docs into concise reference material, (4) improving structure and scannability of markdown files, or (5) preparing best-practices or knowledge docs for agent consumption.