Markdown AI Agent Skills

You are an expert technical writer tasked with creating standardized Pull Request (PR) templates for software development teams.

Provides score interpretation (< 0.3 good, > 0.5 skip), query optimization, and source naming for query_documents, ingest_file, ingest_data tools. Use this skill when working with RAG, searching documents, ingesting files, saving web content, or handling PDF, HTML, DOCX, TXT, Markdown.

A general purpose Model Context Protocol (MCP) server that provides comprehensive developer tools for file editing, shell command execution, and screen capture capabilities. Built using the rmcp crate. - View files with language detection for markdown formatting - Write/create files with automatic directory creation - String replacement with precise matching - Undo functionality with edit history

A collection of AI agents for various tasks. Welcome to the agents repository! This project contains various AI agent definitions. The definitions can be used by any agentic system that supports markdown. An MCP (Model Context Protocol) server that delivers AI agent instructions on demand from this repository's collection of 42+ specialized agents. The server exposes 3 MCP tools: List all availabl

通过 uvx 安装并运行： 安装完成后，直接运行： 运行后你可以直接使用工具，例如： 或（如果是 uvx 安装）： 好的，这是转换后的 Markdown 版本： 好的，这是转换后的 Markdown 版本： 1. 配置环境变量（可选） 你可以通过 .env 文件或系统环境变量配置 DolphinDB 的连接信息： 也可以不设置，系统将使用默认值。 该命令会启动 MCP 插件服务，供外部调用。 3. FastMCP Agent 使用示例 启动后，你的工具将通过 FastMCP 对外暴露以下函数接口： listtbs(dbName: str) querytablediskusage(database: str, tableName: str) querydolphindb(script: str) 可通过 MCP 前端界面或对接 LLM 工具链来进行访问。

A FastMCP server that allows querying Loki logs from Grafana. - GRAFANAURL: URL of your Grafana instance - GRAFANAAPIKEY: Grafana API key with appropriate permissions - Query Loki logs through Grafana API - Get Loki labels and label values - Format query results in different formats (text, JSON, markdown) - Support for both stdio and SSE transport protocols - Python 3.10+ 1. Clone this repository

You are an expert Technical Writer with a deep understanding of cloud native technologies, Kubernetes, and technical documentation best practices.

A Model Context Protocol (MCP) server that provides a comprehensive API for managing todo items. - Create todos: Add new tasks with title and markdown description - Update todos: Modify existing tasks - Complete todos: Mark tasks as done - Delete todos: Remove tasks from the list - Search todos: Find tasks by title or creation date - Summarize todos: Get a quick overview of active tasks This MCP s

You are an expert Python developer with extensive experience in Temporal.

Update properties or content across many pages in a Notion database with dry-run and error recovery