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Found 172 Skills
Build AI agents and automate Claude Code programmatically using the Claude Agent SDK and headless CLI mode. Use this skill when you need to build an agent, create a Claude agent, make a bot, work with the agent SDK, run Claude in headless mode, write programmatic agent code, automate with Claude, create an MCP server builder, or query Claude programmatically. Covers the Python SDK, the claude -p headless interface, custom tool creation with SDK MCP servers, hooks for deterministic control, session management, and CLI flag reference. Authentication uses existing ~/.claude/ config — no API keys required.
Token optimization best practices for MCP server and tool interactions. Minimizes token consumption while maintaining effectiveness. USE WHEN: user mentions "token usage", "optimize tokens", "reduce API calls", "MCP efficiency", asks about "how to use less tokens", "MCP best practices", "limit output size", "efficient queries" DO NOT USE FOR: Code optimization - use `performance` instead, Text compression - this is about API usage patterns, Cost optimization (infrastructure) - use cloud/DevOps skills
Complete guide for building MCP servers with FastMCP 3.0 - tools, resources, authentication, providers, middleware, and deployment. Use when creating Python MCP servers or integrating AI models with external tools and data.
AgentMail MCP server for email tools in AI assistants. Use when setting up AgentMail with Claude Desktop, Cursor, VS Code, Windsurf, or other MCP-compatible clients. Provides tools for inbox management, sending/receiving emails, and thread handling.
Word (.docx) manipulation via MCP server. Use for reading, creating, editing, formatting Word documents including tables, footnotes, comments, images, headers, styles, and PDF conversion.
Manage WeChat information and send messages. This function can only be activated with the MCP Server `WeChatMCP`. Please check the server status before using any tools in this MCP server
Enable multiple Claude Code instances to discover each other and exchange messages in real-time via a local broker daemon and MCP server.
Audit and optimise context window usage for AI coding tools (Claude Code, OpenCode, etc.). Estimates token breakdown, identifies waste (duplicate skills, overlapping rules, bloated instruction files, dirty git status, MCP server overhead), and provides actionable recommendations with projected savings. Use when the user says "context checkup", "reduce context", "check context", "context audit", "how big is my context", or when sessions feel sluggish.
Configure NocoBase as an MCP server for your coding agent CLI. Use when users need to set up MCP connection to NocoBase for the first time.
Use when setting up or configuring Laravel Boost for AI-assisted development — package installation, MCP server configuration, guideline customization, skill authoring, documentation API integration. Trigger conditions: install Laravel Boost, configure MCP for IDE, create custom AI guidelines, write project-specific skills, verify MCP tool connectivity, update Boost after dependency changes, extend Boost for custom agents.
Persistent memory layer for AI agents using Postgres/pgvector with MCP server support
Полная русскоязычная справка по Ollama Web Search и Web Fetch API: поиск в интернете, получение контента страниц, Python/JS SDK, MCP-сервер, интеграция с OpenClaw. Используй этот скилл при любых вопросах об Ollama web search: как настроить API-ключ, выполнить поиск, получить содержимое страницы, подключить SDK, настроить MCP-сервер, интегрировать с агентами. Также используй при написании кода для Ollama Search: bash-скрипты, Python asyncio, JS/TS клиенты, tool-calling агенты, конфигурация OpenClaw. Триггерится на слова: ollama search, ollama web search, ollama_search, ollama fetch, web_search ollama, ollama api key, ollama MCP, поиск через ollama.