Documentation AI Agent Skills

1. **Verify Information**: Always verify information before presenting it. Do not make assumptions or speculate without clear evidence.

C++ Programming Guidelines

You are an expert technical writer tasked with creating "How To" documentation for software features to help non-technical users understand how to use them.

Analyze Stitch projects and synthesize a semantic design system into DESIGN.md files

Pre-ingestion verification for epistemic quality in RAG systems. Ensures documents are properly qualified before entering knowledge bases. Produces CGD (Clarity-Gated Documents) and validates SOT (Source of Truth) files.

Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI docs MCP tools and restrict any fallback browsing to official OpenAI domains.

Generate marketing screenshots of your app using Playwright. Use when the user wants to create screenshots for Product Hunt, social media, landing pages, or documentation.

Trade stocks directly from your AI assistant Create bots, manage portfolios, and execute trades with natural language Documentation • Get API Key A Model Context Protocol (MCP) server that connects AI assistants like Claude Desktop, Cursor, and Windsurf to VibeTrader's trading platform. - Create Bots: Create AI-powered trading bots using natural language - Manage Bots: Start, pause, delete, and mo

Self Maintaining Docs for Devs & AI — Turn your codebase into always-current documentation, so engineers and AI never read outdated docs again. This repository is the entry point for using Sequa via the Model Context Protocol (MCP). Add Sequa as an MCP server to Cursor, Claude, Windsurf, VSCode, Cline, Highlight, Augment, or any other MCP‑capable client. 70% of docs are never updated as underlying

This skill should be used when the user asks to "generate documentation", "document this project", "create docs", "write documentation", "update documentation", "document all APIs", "generate onboarding docs", "create developer docs", or needs comprehensive codebase documentation. Orchestrates parallel AI agents to analyze code and produce documentation files.

Use when investigating or improving WordPress performance (backend-only agent): profiling and measurement (WP-CLI profile/doctor, Server-Timing, Query Monitor via REST headers), database/query optimization, autoloaded options, object caching, cron, HTTP API calls, and safe verification.

A Model Context Protocol (MCP) server that provides AI-powered search and querying capabilities for the Vercel AI SDK documentation. This project enables developers to ask questions about the Vercel AI SDK and receive accurate, contextualized responses based on the official documentation. - Direct Documentation Search: Query the Vercel AI SDK documentation index directly using similarity search -

This MCP (Model Context Protocol) server provides various tools to interact with dbt. You can use this MCP server to provide AI agents with context of your project in dbt Core, dbt Fusion, and dbt Platform. Read our documentation here to learn more. This blog post provides more details for what is possible with the dbt MCP server. We publish an experimental Model Context Protocol Bundle (dbt-mcp.m

Store team knowledge, project conventions, and learnings from tasks. Use to remember what works and recall context before new tasks. Connects to Hindsight Cloud. (user)

Find papers and preprints that cite a given URL, especially blogs, docs pages, project pages, or other web content that standard citation indexes often miss. Use when the user provides a URL and wants confirmed citing works, evidence from PDF or HTML references, DOI or arXiv links, BibTeX, or a deduplicated citation report.

Work with a user's Semantic Scholar account to read Research Feeds, inspect private Library folders, add papers to folders, and resolve Semantic Scholar paper records from identifiers such as arXiv IDs.

Anyquery is a SQL query engine that allows you to run SQL queries on pretty much anything. It supports querying files, databases, and apps (e.g. Apple Notes, Notion, Chrome, Todoist, etc.). It's built on top of SQLite and uses plugins to extend its functionality. It can also connect to LLMs (e.g. ChatGPT, Claude, Cursor, TypingMind, etc.) to allow them to access your data. Finally, it can act as a

mcp-name: io.github.aikts/yandex-tracker-mcp A comprehensive Model Context Protocol (MCP) server that enables AI assistants to interact with Yandex Tracker APIs. This server provides secure, authenticated access to Yandex Tracker issues, queues, comments, worklogs, and search functionality with optional Redis caching for improved performance. Documentation in Russian is available here / Документац

What is GitMCP • Features • Getting Started • How It Works • Examples • Contributing • Stop vibe-hallucinating and start vibe-coding! GitMCP is a free, open-source, remote Model Context Protocol (MCP) server that transforms any GitHub project (repositories or GitHub pages) into a documentation hub. It enables AI tools like Cursor to access up-to-date documentation and code, even if the LLM has nev

The Mermaid MCP Server enables AI assistants like GitHub Copilot, Claude, and custom LLM applications to generate professional architecture diagrams, flowcharts, sequence diagrams, and more using natural language. It provides a Model Context Protocol interface for seamless integration with AI coding assistants. - 🤖 AI-Powered Generation: Create diagrams using natural language with GitHub Copilot

Use when building or debugging WordPress Interactivity API features (data-wp-* directives, @wordpress/interactivity store/state/actions, block viewScriptModule integration, wp_interactivity_*()) including performance, hydration, and directive behavior.

Use when creating, updating, or improving agent skills.

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

A Model Context Protocol (MCP) tool that provides up-to-date documentation for npm packages directly in your IDE. This tool fetches the latest README documentation from either the package's GitHub repository or the README bundled with the npm package itself. This MCP tool helps your IDE (like Cursor) get the most current documentation for any npm package instead of relying on outdated or incomplet