Tools for Claude Code, Codex and AI Coding Agents

Skills (mattpocock) is a collection of small engineering workflows for developers using Claude Code, Codex and other AI coding agents. You can adapt and combine individual skills to address specific problems without adopting a complete development process.

Orca is a desktop workspace for developers managing several AI coding agents on the same project. It keeps each task in a separate Git worktree so agents can edit independently while you compare their results.

agent-browser lets AI agents interact with websites through compact text snapshots and references to specific page elements. It's for developers connecting coding assistants or other agents to a browser without sending them the full page HTML.

ECC adds reusable engineering workflows to AI coding assistants. It's for developers who want editable plans, test-first development and separate review contexts across sessions.

HyperFrames turns web layouts and animations into videos for developers and teams building automated video workflows. It uses plain HTML and CSS, so you can create compositions yourself or work with an AI coding assistant without adopting React.

Superpowers adds a development workflow to AI coding assistants. It's for developers who want to approve a design before implementation and have the agent work through a plan with testing and review.

Repomix packages repositories into a single file for developers who need to give an AI assistant project context for code review or analysis. It works with local directories and remote repositories.

llama.vscode is a coding assistant for developers who want AI suggestions, chat, and an agent inside VS Code. It lets you use models on your own hardware or connect to external providers.

Claude Mem gives coding assistants persistent project memory, so developers can carry earlier decisions and failed approaches into later sessions without explaining them again.

Paperclip coordinates AI agents for people managing work across development, research, marketing and other business functions. It gives the team a shared structure and keeps its work tied to organization goals.

Agent Reach gives AI agents access to online content for research, repository work and social media searches. It's for people using Claude Code, OpenClaw, Cursor, Windsurf or another agent that can run shell commands.

CC Switch is a desktop manager for developers who use multiple AI coding assistants or API providers. It brings their settings into one interface and preserves existing plugins, hooks and other custom settings when switching providers.

Tellama is a local LLM chat app for Android users who want conversations to stay on their phone. Chat with an installed compatible model works offline, and you don't need an account.

Cognee gives AI agents memory across sessions so they can reuse project context, decisions, and lessons from earlier work. It's for developers building agents and teams whose knowledge sits across documents, code, and conversations.

ccusage is a local command-line tool for developers who want to see how many tokens their coding agents use and what that usage costs. It reads the agents' local usage records, so you can compare activity across tools in one place.

aider.el brings Aider into Emacs for developers who want AI help with their code without leaving the editor. It connects coding conversations to the files and Git repositories you're working on.

FastAPI MCP is a Python library for developers who want AI applications to use an existing FastAPI service through the Model Context Protocol (MCP). It creates tools from API endpoints, so developers don't have to build a separate MCP interface for each one.

Engram keeps project knowledge between coding sessions so developers don't have to repeat past decisions, bug fixes, and conventions to their AI agent. It works with existing coding assistants through MCP.

Browser MCP connects AI applications to your everyday browser so they can automate tasks in services you're already signed into. It's for people who want browser automation through their AI assistant without opening a separate browser session.

DeepWiki Open generates interactive documentation from code repositories. It's for developers who want to understand a project's structure and explore its code through a wiki.

MCP Reference Servers gives developers examples for connecting AI applications to tools and data. Maintained by the MCP steering group, these are educational implementations, not production-ready servers.

QMD searches Markdown notes, meeting transcripts, documentation and knowledge bases on your own machine. It's for people who want to find material by its wording or meaning, and make that search available to an AI agent.

OpenLore helps developers keep AI coding agents grounded in large or unfamiliar repositories. It maps code relationships and retains architectural decisions so agents can find relevant context and check proposed changes.

Claude Task Master helps developers turn product requirements into tasks they can work through with a coding assistant. It keeps task planning and progress tracking inside the editor or terminal where development happens.

ast-grep MCP lets AI coding assistants find code by syntax structure. It's for developers who need searches for specific constructs or relationships that text matching alone can't express.

Emdash is a desktop development environment for developers who want to delegate several coding tasks at once. It keeps each task's branch, terminal, conversation, and review state together so parallel work stays separate.

Archon is a workflow engine for developers who want AI coding agents to follow a defined development process. It coordinates work across projects, with repeatable stages for planning, implementation, checks and review.

PAL MCP Server connects coding assistants to other AI models for second opinions, code review and planning. It's for developers who want to consult several models within the same coding session, using clients such as Claude Code, Codex CLI, Gemini CLI or Cursor.

MCPJam helps MCP server developers check how their tools and apps behave across AI clients before deployment. It combines hands-on debugging with repeatable tests for differences between ChatGPT, Claude, Cursor, and Copilot.

GitHub MCP Server connects compatible AI assistants to GitHub so developers can ask about code and have an assistant act on repository activity. It's GitHub's official connector for the Model Context Protocol (MCP).

OpenSpec helps developers agree on what an AI coding assistant should build before it edits code. It keeps requirements and implementation plans in project files so they don't depend on chat history, and supports both existing codebases and new projects.

Serena gives AI coding agents tools to work with functions, classes and the relationships between them. It's for developers who want an agent to locate and change specific code without reading every file in full.

MCP Inspector is a developer tool for testing the Model Context Protocol servers that connect AI applications to tools and data. It lets you examine server behavior directly, without testing every interaction through an AI chat application.

ToolHive runs and manages Model Context Protocol (MCP) servers for developers and platform teams that want control over the tools their AI clients can access. It supports individual desktop use and shared deployments on your own infrastructure.