claude-code Tools

Orca is an Agent Development Environment (ADE) that lets you run and manage multiple AI coding agents like Claude Code, Codex, and OpenCode in parallel, within isolated worktrees. It solves the problem of coordinating and reviewing output from a fleet of agents by providing integrated terminals, a file editor, and git tracking to keep all branches moving. It's designed for developers and teams who want to automate and scale their coding workflows using multiple AI assistants simultaneously.

The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs

Code Review Graph is a local-first code intelligence graph for MCP and CLI. It builds a persistent, semantic map of your codebase, enabling AI coding assistants to understand context and dependencies without reading every file. This dramatically reduces context overhead in code reviews and large-repository workflows, making AI tools faster and more accurate. It's built for developers and teams working in complex codebases who want to leverage AI assistance without the performance and cost penalties of massive context windows.

Agent-Skills is a collection of 24 production-grade engineering skills that encode senior-level workflows and judgment for AI coding agents. It solves the problem of inconsistent, low-quality AI-generated code by providing structured, phase-specific commands that guide agents through the entire software lifecycle—from specification to deployment. It's designed for developers and teams using AI coding assistants like Claude Code, Cursor, or GitHub Copilot to ensure their agents produce reliable, maintainable, and production-ready code.

ADR is a production-proven system for securing enterprise AI agents built on the Model Context Protocol (MCP). It solves the critical challenges of limited observability, insufficient robustness, and high detection costs by providing comprehensive telemetry, systematic red teaming, and scalable, two-tier detection. It is designed for large enterprises deploying AI agents at scale, as demonstrated by its deployment at Uber.

Agent-Reach is a command-line tool that gives AI agents the ability to read and search content from major platforms like Twitter, Reddit, YouTube, and GitHub. It solves the problem of AI agents being blind to real-time, public web data without requiring expensive or restrictive API integrations. It's built for developers and AI engineers who need to build agents with comprehensive, up-to-date internet awareness.

This is an AI agent skill that automates deep-dive research by pulling and synthesizing information from diverse sources like Reddit, X (Twitter), YouTube, Hacker News, Polymarket, and the broader web. It solves the problem of information overload and fragmented narratives by delivering a single, grounded summary of the latest discussions and data. It's designed for analysts, researchers, content creators, and curious individuals who need to quickly understand the current landscape and sentiment around any trending topic.

The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows