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Found 110 Skills
Model Context Protocol (MCP) server development and tool management. Languages: Python, TypeScript. Capabilities: build MCP servers, integrate external APIs, discover/execute MCP tools, manage multi-server configs, design agent-centric tools. Actions: create, build, integrate, discover, execute, configure MCP servers/tools. Keywords: MCP, Model Context Protocol, MCP server, MCP tool, stdio transport, SSE transport, tool discovery, resource provider, prompt template, external API integration, Gemini CLI MCP, Claude MCP, agent tools, tool execution, server config. Use when: building MCP servers, integrating external APIs as MCP tools, discovering available MCP tools, executing MCP capabilities, configuring multi-server setups, designing tools for AI agents.
Expert guidance on the Google Agent Development Kit (ADK) for Python. Use this skill when the user asks about building agents, using tools, streaming, callbacks, tutorials, deployment, or advanced architecture with the Google ADK in Python.
Recommend the right agents and skills for any task. Covers both heavyweight agents (Task tool) and lightweight skills (Skill tool). Triggers on: which agent, which skill, what tool should I use, help me choose, recommend agent, find the right tool.
Install behavioral skills from trousse. Use FIRST when onboarding a new machine or after fresh Claude Code install. Creates symlinks for session lifecycle, utilities, and optionally offers tool repos (todoist-gtd, garde-manger). Triggers on 'help me set up', 'install skills', '/setup'. (user)
Manage and inspect background processes for agents using the bgproc CLI. Use when asked to start, stop, list, clean, check status, or view logs for bgproc-managed processes, or when a task needs a JSON-outputting process manager.
Creates new skills, either generic for the global catalog or specific to the current project. Trigger: /skill-create <name>, create skill, new skill, generate skill, add skill to project.
Search Twitter/X in real-time using Grok API. Use when searching X posts, tracking trends, monitoring accounts, or analyzing social discussions.
Convert mixed-format datasheets and hardware reference files (PDF, DOCX, HTML, Markdown, XLSX/CSV) into normalized Markdown knowledge files for AI coding agents. Use when a user asks to ingest datasheets, register maps, pinout/timing sheets, revision histories, or internal hardware notes before searching datasheet content or generating code. Produce RAG-ready section chunks, anchors, image references, and metadata under .context/knowledge.
Use the ClawHub CLI to search, install, update, and publish agent skills from clawhub.ai with advanced caching and compression. Use when you need to fetch new skills on the fly, sync installed skills to latest or a specific version, or publish new/updated skill folders with optimized performance.
Create and configure Claude Code sub-agents with custom prompts, tools, and models
Create or update AgentSkills for CoWork-OSS. Use when designing, structuring, or packaging skills. Supports JSON format with requirements, installation specs, and metadata.
Manage AI agent memory files (AGENTS.md/CLAUDE.md). Supports update and restructure modes. Use this when users need to sync, update, or restructure agent memory files. Triggered by keywords such as "记忆文件", "memory file", "AGENTS.md", "更新记忆", "重构记忆", "memory sync", "memory restructure".