Developer Tools AI Agent Skills

knowledge-to-action-mcp is an MCP server for people whose real project context lives in notes, decisions, roadmaps, and meeting docs, not just code. Most Obsidian MCP servers stop at "read a note" or "search a vault." This one goes further: That means an MCP client can move from: If you work out of Obsidian, your important context is usually spread across: - roadmap notes - meeting notes - decisio

A chat server for AI agents. Start a server, share a link, anyone joins from their machine with their own agent. Claude Code, Codex, humans — everyone ends up in the same chat room. Messages get pushed into each agent's session in real time as they happen. Works over the internet with zero config. You need tmux (brew install tmux) and either Claude Code or Codex. Terminal 1 — start a room: The ser

Checks Agent Skills (SKILL.md folders) for portability and common mistakes with a standard-library Python script, then explains each finding and the fix. It catches frontmatter that strict YAML parsers reject (such as an unquoted colon in the description, which makes tools like npx skills skip the skill), keys other than name and description, bad name format, a description that does not say when to use the skill, vendor tool names and paths, missing fallbacks when a tool or the network is...

⭐ Like this project? Please star the repository on GitHub to show your support and stay updated! ⭐ Modern AI-powered coding assistants (like Cursor, Cline, Roo Code, etc.) excel at understanding code structure and syntax but often struggle with the specifics of rapidly evolving libraries and frameworks, especially in ecosystems like Rust where crates are updated frequently. Their training data cut

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

Reads a draft article, post, newsletter, report or script and lists every claim that needs a source before it is published, sorted by risk, with what kind of source would settle each one. It marks which claims the draft itself already supports, which are plain opinion, and which are risky (numbers, studies, quotes, dates, "first/only/best", cause and effect, claims about people or companies). It does not rule claims true or false from memory.

Slack MCP Server Give Claude the same Slack access you have. DMs, threads, history—no admin approval. I built this because I was working with someone to help me manage a complex workload, and we kept hitting walls. They needed context from my messages—"what did X say about Y?"—but Slack's API blocks access to DMs without admin approval. Screenshotting messages is not a workflow. This server bridge

Dependency intelligence infrastructure for AI assistants and agents working with JVM projects. Traditional upgrade workflow: 1. Google "Spring Boot 2.7 to 3.2 migration guide" (5 minutes) 2. Read 50-page migration docs, cross-reference breaking changes (15 minutes) 3. Check Maven Central for compatible dependency versions (5 minutes) 4. Update pom.xml, compile, fix breaking changes (30 minutes) 5.

Debug AI traces, find exceptions, analyze sessions, and manage prompts via Langfuse MCP. Also handles MCP setup and configuration.

CRUD operations for knowledge base docs — add, delete, update metadata, embed. Requires GNOSIS_MCP_WRITABLE=true.

Drive four external coding CLIs — Google's Antigravity (Gemini 3.6 Flash), OpenAI Codex, the GitHub Copilot CLI, and Cursor — as sub-agents inside Claude Code. Text answers, image generation, real repo work, and parallel swarms, on quota you already pay for. One MCP server, four backends. It exposes Google Antigravity, OpenAI Codex, the GitHub Copilot CLI, and Cursor to Claude Code as clean MCP to

Reads a job post for a job seeker and says in plain words what the job is, which requirements are firm and which are wishes, what the post leaves out (pay, location, hours, team), which phrases are worth a question, and what to ask the recruiter. It quotes the post for everything and never guesses about the employer.

A Model Context Protocol (MCP) server for YouTube integration. Retrieve video transcripts, details, and metadata using YouTube's Data API. Get instant access to YouTube with our managed infrastructure - no setup required: 🔗 Get Free API Key → API Key Setup: Get your YouTube Data API key from the Google Cloud Console and enable the YouTube Data API v3. - Video Transcripts: Retrieve full video tran

Code-Graph-RAG parses a multi-language codebase with Tree-sitter, builds a knowledge graph of its structure in Memgraph, and lets you query, edit, and optimise that code in plain English. It works across a monorepo of mixed languages under one unified graph schema. - Ruby Support: Ruby joins the graph through a new pluggable ast-grep tier that adds a language from a single YAML pattern file, emitt

A skill that generates a skill to review PRs. Mine your last 100 merged PRs into an AI reviewer that knows your business logic, your team's past decisions, and the module that has burned you three times. Why · How it works · Quick start · FAQ · Roadmap AI code reviewers are great at syntax and generic best practices — and blind to everything that makes review actually hard: - the invariant your bi

An MCP (Model Context Protocol) server that provides token-efficient access to OpenAPI (v3.0) and Swagger (v2.0) specifications via MCP Resource Templates. The primary goal of this project is to allow MCP clients (like Cline or Claude Desktop) to explore the structure and details of large OpenAPI specifications without needing to load the entire file into an LLM's context window. It achieves this

claude-faf-mcp IANA-Registered Format for AI Context · application/vnd.faf+yaml AI assistants forget. They misunderstand. They drift. Every new session, every new file, every new developer — AI starts guessing again. Your codebase context leaks away. Yesterday's perfect assistant becomes today's confused intern. .FAF fixes this permanently. Gold Code = AI Optimized. Your project DNA lives in proje

IANA-Registered Format for AI Context · application/vnd.faf+yaml Universal version of claude-faf-mcp — Anthropic-approved MCP server, now compatible with all platforms. AI assistants forget. They misunderstand. They drift. Every new session, every new file, every new developer — AI starts guessing again. Your codebase context leaks away. Yesterday's perfect assistant becomes today's confused inter

A local Model Context Protocol (MCP) server that provides structured, high-signal insight into a Git repository, enabling AI coding agents to understand project state, structure, activity, and risk — without uploading or modifying the codebase. AI coding agents (Claude Code, Cursor, Codex, Gemini, etc.) are powerful, but they lack situational awareness when working with non-trivial codebases. They

Your AI keeps breaking things you told it not to touch. SpecLock makes it stop. Website · npm · Smithery · GitHub Developed by Sandeep Roy · Free & Open Source (MIT License) 100/100 on Claude's independent test suite. 929 tests across 18 suites. 0 false positives. 15.7ms per check. Gemini Flash hybrid, Spec Compiler, Code Graph, Typed Constraints, Python SDK, ROS2 integration. That's it. One c

Documentation | Getting Started | User Guide | API Reference | MCP (AI Integration) kubefwd enables developers to work on their local machine while seamlessly accessing services running in a Kubernetes cluster. If you're building a new API that needs to connect to a database at db:5432, an auth service at auth:443, and a cache at redis:6379, all running in your development cluster, kubefwd makes t

Advanced filesystem operations for Claude Desktop with large file handling capabilities and Claude-optimized features. Add to your Claude Desktop config. - Basic setup - With backup files enabled Control backup file creation behavior. - CREATEBACKUPFILES=false (default): Disables backup file creation to reduce clutter - CREATEBACKUPFILES=true: Creates backup files before modifications Note: Backup

Check robots.txt and sitemap.xml for crawl-blocking mistakes. Use when the user says "check my robots.txt", "validate my sitemap", or "is my site crawlable".

22 skills · installable as Plugin

A Model Context Protocol (MCP) server that integrates with Tilt to provide programmatic access to Tilt resources and logs through LLM applications. Imagine prompting like this: The key insight is you no longer need to tell your LLM how to build and deploy your code. Instead, you can simply ask it to what to build and deploy. Tilt is a powerful tool for working with Docker/Kubernetes workloads. Wit