Documentation AI Agent Skills

godoc-mcp is a Model Context Protocol (MCP) server that provides efficient access to Go documentation. It helps LLMs understand Go projects by providing direct access to package documentation without needing to read entire source files. godoc-mcp can vastly improve the performance of using LLMs to develop in Go by substantially reducing the number of tokens needed to understand and make use of Go

A next-generation framework documentation provider for Claude Code via Model Context Protocol (MCP). Provides query-focused API context by extracting TypeScript definitions directly from npm packages - delivering minimal, accurate information instead of dumping entire documentation pages. mcp-name: dev.augments/mcp Version 4.0 introduces a fundamentally new approach to framework documentation: Doc

Master API documentation with OpenAPI 3.1, AI-powered tools, and

Master on-call shift handoffs with context transfer, escalation procedures, and documentation. Use when transitioning on-call responsibilities, documenting shift summaries, or improving on-call processes.

Documentation templates and structure guidelines. README, API docs, code comments, and AI-friendly documentation.

Automatically fetch latest library/framework documentation for Claude Code via Context7 API

Index and search culture documentation

This project uses the Model Context Protocol (MCP) to let LLMs directly understand and generate Max patches. Video link. Acknowledgement: the patch being explained is downloaded from here. Text comments in the original file are deleted. Check out the full video where you can listen to the synthesised sounds. The LLM agent has access to the official documentation of each object, as well as objects

Generate and maintain OpenAPI 3.1 specifications from code, design-first specs, and validation patterns. Use when creating API documentation, generating SDKs, or ensuring API contract compliance.

You are an AI assistant specialized in Python development.

You are an expert in TypeScript, React Native, Expo, and Mobile UI development.

Project Overview

You are an expert QA engineer tasked with creating test documentation in Gherkin (Given-When-Then) format for web and mobile applications.

A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).