113 boosters for "documentation" — open source, verified from GitHub, ready to install
doc-coauthoring guides users through a structured three-stage workflow (context gathering, refinement, and reader testing) for collaboratively creating technical documentation, proposals, and specs. It benefits technical writers, engineers, and product managers who need to efficiently co-author structured content.
An MCP server that integrates Context7 with Claude, enabling developers to leverage context management and vibe-coding capabilities within Claude Desktop and Claude Code environments.
A specialized agent that transforms complex technical concepts into clear, developer-friendly documentation for APIs, READMEs, and tutorials. Ideal for engineering teams, open-source maintainers, and anyone who needs to document code quickly and effectively.
Model QA Specialist is an independent auditing agent that performs comprehensive ML/statistical model validation—from documentation review and data reconstruction through calibration testing, interpretability analysis, and audit-grade reporting. It's ideal for data scientists, ML engineers, and compliance teams who need rigorous, end-to-end model validation.
"name": "@mastra/mcp-docs-server", "version": "1.1.25-alpha.4", "description": "MCP server for accessing Mastra.ai documentation, changelogs, and news.",
<a href="https://github.com/VoltAgent/voltagent"> <img width="1500" height="500" alt="Group 32" src="https://github.com/user-attachments/assets/55b97c47-8506-4be0-b18f-f5384d063cbb" /> <div align="center">
A curated directory of high-quality plugins for Claude Code. Plugins can be installed directly from this marketplace via Claude Code's plugin system. or browse for the plugin in
Provides developers with authoritative, up-to-date OpenAI API documentation and guidance by prioritizing official MCP tools for questions about building with OpenAI products. Ideal for developers integrating OpenAI APIs who need reliable, cited references.
This booster helps Claude synthesize research from multiple Notion pages into structured briefs, reports, and comparisons with proper citations. It's ideal for knowledge workers and developers who need to aggregate and document information from Notion workspaces.
Do NOT check or review pull requests. Do NOT call commands. Run CodeRabbit locally against the working repository only. From the output, extract for each finding:
You are an elite CLAUDE.md auditor and documentation integrity specialist. Your sole purpose is to ensure every file and file in the project accurately reflects the current codebase state. You work autonomously: discover, analyze, and fix documentation drift without manual guidance. You are method
Retrieve current documentation and code examples for any library using the Context7 CLI. Make sure the CLI is up to date before running commands: Or run directly without installing:
Heuristic scoring (no AI key configured).
Use this agent when documentation in the `architecture/` directory needs to be updated or created for a specific file after implementing a feature, fix, refactor, or behavior change. Launch one instance of this agent per file that needs updating. This agent maintains the *contents* of architecture documentation files — it does not decide which files exist or how the directory is organized.\n\nExamples:\n\n- Example 1:\n Context: A developer just finished implementing OPA policy evaluation in the sandbox system.\n user: "I just finished implementing the OPA engine in crates/openshell-sandbox/src/opa.rs. Update architecture/sandbox.md to reflect the new policy evaluation flow."\n assistant: "I'll launch the arch-doc-writer agent to update the sandbox architecture documentation with the new OPA policy evaluation details."\n <uses Task tool to launch arch-doc-writer with instructions to update architecture/sandbox.md>\n\n- Example 2:\n Context: A refactor changed how the HTTP CONNECT proxy handles allowlists.\n user: "The proxy allowlist logic was refactored. Please update architecture/proxy.md."\n assistant: "Let me use the arch-doc-writer agent to synchronize the proxy documentation with the refactored allowlist logic."\n <uses Task tool to launch arch-doc-writer with instructions to update architecture/proxy.md>\n\n- Example 3:\n Context: After implementing a new CLI command, the assistant proactively updates docs.\n user: "Add a --rego-policy flag to the CLI."\n assistant: "Here is the implementation of the --rego-policy flag."\n <implementation complete>\n assistant: "Now let me launch the arch-doc-writer agent to update the CLI architecture documentation with the new flag."\n <uses Task tool to launch arch-doc-writer with instructions to update architecture/cli.md>\n\n- Example 4:\n Context: A user wants high-level overview documentation for a non-engineering audience.\n user: "Update architecture/overview.md with a non-engineer-friendly explanation of the sandbox system."\n assistant: "I'll launch the arch-doc-writer agent to create an accessible overview of the sandbox system for non-technical readers."\n <uses Task tool to launch arch-doc-writer with audience=non-engineer directive>\n\n- Example 5:\n Context: Multiple files need updating after a large feature lands.\n user: "I just landed the network namespace isolation feature. Update architecture/sandbox.md and architecture/networking.md."\n assistant: "I'll launch two arch-doc-writer agents — one for each file — to update the documentation in parallel."\n <uses Task tool to launch arch-doc-writer for architecture/sandbox.md>\n <uses Task tool to launch arch-doc-writer for architecture/networking.md>
Browse once, cache the APIs, reuse them instantly. First call discovers and learns the site's APIs (~20-80s). Every subsequent call uses cached skills (<200ms for server-fetch, ~2s for sites requiring browser execution). When the task touches docs, install guidance, eval claims, landing-page copy, r
Given a URL, return its main content as clean Markdown — headings, links, images, lists, code blocks all preserved. Always try one method per URL — don't cascade blindly. Pick the right one upfront. is the directory where this SKILL.md lives. Resolve it before calling the script.
A specialized AI skill for conducting 5S workplace organization audits with scoring, photo documentation, and sustainability tracking—enabling manufacturers and facilities managers to systematically assess and improve workplace organization.
A Python SDK for building production-ready agentic AI applications with Claude, featuring agents, handoffs, and guardrails for complex multi-agent workflows. Developers building AI agents and multi-tool systems will benefit from this lightweight, easy-to-learn framework.
Use directory as the source of truth for documentation. Use agent to analyze the codebase and create initial documentation:
This Cursor rule enforces grammatically correct article usage (a, an, the) in code comments to improve readability and professionalism. It benefits developers and teams who prioritize code quality and documentation standards.
A structured code review workflow that orchestrates specialized AI agents to perform quality, security, performance, and documentation reviews within a 4-hour timeline. Useful for development teams seeking systematic, multi-perspective code quality assurance.
Cursor Rules for Starknet documentation that enforces Mintlify technical writing standards and best practices for creating clear, user-centered developer documentation. Ideal for Starknet contributors and documentation maintainers using Cursor.
이 항목들은 Anthropic 내부 빌드에서 실행될 때만 포함됩니다. Carefully consider the reversibility and blast radius of actions. Generally you can freely take local, reversible actions like editing files or running tests. But for actions that are hard to reverse, affect shared systems beyond your local environment, or coul
Query Google's AI Search mode to retrieve comprehensive, source-grounded answers from across the web. Trigger this skill when the user: 1. Include Current Year (2026) for up-to-date results
