A community-driven registry for Claude, Cursor, Windsurf, Cline & more. Not affiliated with Anthropic.
Are you the author? Sign in to claim
Turn Claude Code into a coordinated team of 40+ specialized AI agents that work together like a world-class engineering
Build faster. Ship better. Code smarter.
This project provides a collection of 47 specialized AI agents, turning a capable generalist like Claude into a world-class engineering organization. Stop trying to teach one AI everything and instead leverage a team of pre-built experts.
While a single large language model is powerful, complex projects demand deep, nuanced expertise. This repository gives you that specialized team out-of-the-box.
This collection of agents is the primary focus. You can use them with your own orchestration logic or use our provided example to get started quickly.
This repository contains 47 Specialized Agents organized into 10 professional teams. Explore the teams below to see the capabilities at your disposal.
Your project managers and workflow coordinators.
System designers who build solid foundations.
Core builders with framework expertise.
Guardians of code quality and security.
Deployment and operations experts.
Deep language-specific mastery.
User experience and interface experts.
Clear communication and documentation.
Industry and domain experts.
Platform and tool specialists.
git clone https://github.com/0ldh/claude-code-agents-orchestra.git
cd claude-code-agents-orchestra
You can invoke any agent directly to leverage their specialized skills for focused tasks. This is the simplest way to use the agent collection without any setup.
# Ask the TypeScript expert to refactor a function for better type safety
claude "@typescript-expert Please refactor this function to be more type-safe: [paste your code here]"
# Get the security auditor to review a specific file
claude "@security-auditor Review this file for potential security vulnerabilities: src/auth/session.js"
Familiarize yourself with the agents listed above. Click on any agent to see their detailed prompt and capabilities.
This repository includes an advanced orchestration framework in CLAUDE.md.example. See the Orchestration Example section for details on how to use it.
You can use this agent collection in two ways. Choose the approach that best fits your task.
| Aspect | Direct Agent Calls | Orchestration Framework Usage |
|---|---|---|
| When to Use | For simple, focused, single-step tasks. (e.g., refactoring a function, reviewing a file for security). | For complex, multi-step missions requiring collaboration between multiple agents. (e.g., building a new feature, migrating a system). |
| Who Orchestrates | You are the orchestrator. You manually select and call the appropriate agent. | Claude becomes the orchestrator, guided by the rules in CLAUDE.md.example. It automatically plans and delegates tasks. |
| Pros | No setup required. Fast and direct for simple jobs. | Automates complex planning and coordination, significantly reducing your workload. |
| Cons | You are responsible for managing all steps and context for complex tasks. | Requires a one-time setup of copying CLAUDE.md.example to ~/.claude/CLAUDE.md. |
All agents are organized into professional teams within the agents/ directory.
/
│
├── agents/
│ ├── 🧭 orchestration/ # Project Leadership & Planning
│ ├── 🏗️ architecture/ # System Foundation Design
│ ├── 💻 development/ # Core Feature Implementation
│ ├── 🛡️ quality-assurance/ # Quality & Security Audits
│ ├── 🚀 devops-infra/ # Deployment & Infrastructure
│ ├── ✍️ language-experts/ # Language-Specific Expertise
│ ├── 🎨 design/ # User Experience & Interface
│ ├── 📝 content-docs/ # Technical Documentation
│ ├── 🔬 specialized-domains/ # Niche Industry Expertise
│ └── 🛠️ specialized-tools/ # Specific Platform & Tool Mastery
│
├── CLAUDE.md.example # Advanced: Example AI Rule Book
├── LICENSE
└── README.md
The CLAUDE.md.example includes an Agent Orchestra Index inspired by Vercel's passive-context guidance: keep a small, always-available index in the root context, then retrieve the full specialist prompt only when it is relevant.
The goal is not to inline every agent prompt into CLAUDE.md.example.
The goal is to keep a compressed directory of:
./agents/...This keeps the passive context compact while still making specialist prompts cheap to find and hard to overlook.
The index in CLAUDE.md.example is maintained as a static example block.
When you add, rename, move, or materially rewrite agent prompts, update that index in the same change so the listed paths and routing hints stay aligned with the current catalog.
CLAUDE.md.example⚠️ Important: The following sections and the
CLAUDE.md.examplefile demonstrate one possible way to orchestrate this team of specialist agents. This is a powerful but optional framework. You are encouraged to adapt it, build your own, or integrate these agents into your existing workflow.
The provided framework turns Claude into a project manager that can automatically triage tasks, delegate to the correct specialists, and manage complex workflows, all while waiting for your approval.
# First, backup your existing global rules, if any
cp ~/.claude/CLAUDE.md ~/.claude/CLAUDE.md.backup
# Apply the orchestration framework
cp CLAUDE.md.example ~/.claude/CLAUDE.md
Now, Claude will use the rules in the example file to manage the agent team in this project.
With the framework active, interactions look like this:
Simple Task:
You: "Fix the login bug"
Claude: "📋 EXECUTION PLAN
════════════════
Classification: Simple
Assigned to: @debugger
Plan: Analyze login flow, identify bug, implement fix
⚠️ AWAITING APPROVAL"
You: "approved"
Claude: "🔄 @debugger investigating login issue..."
Complex Mission:
You: "Build a real-time chat system"
Claude: "📋 EXECUTION PLAN
════════════════
Classification: Complex Mission
Assigned to: @tech-lead-orchestrator
...
Agent List:
@api-architect, @backend-architect, @react-expert, @security-auditor
⚠️ AWAITING APPROVAL"
You: "proceed"
Claude: "Executing approved blueprint... 🔄 Step 1/4..."
The framework is designed around a clear command structure and execution flow to ensure efficient and safe operation.
The framework intelligently assigns models based on cognitive demands:
This optimization delivers faster execution for implementation tasks while maintaining deep analytical capability for strategic decisions.
Phase 1: Intelligent Triage & Authorization When you submit a request, Claude (acting as gatekeeper):
tech-lead-orchestrator.Phase 2: Coordinated Execution with Progress Tracking
Phase 3: Enhanced Quality Assurance
Phase 4: Smart Agent Authority
tech-lead-orchestrator focuses only on planning.Example 1: E-Commerce Payment System
Code Archaeologist, API Architect, Security Auditor, Payment Integration expert, Backend Architect, Django Expert, React Expert, and Test Automator.Example 2: Mobile App Performance Crisis
Debugger, Mobile Developer, Performance Engineer, React Expert, and Database Optimizer diagnose and fix an infinite re-render loop and N+1 query problem.Example 3: Legacy System Modernization
Tech Lead and executed by Legacy Modernizer, Code Archaeologist, Cloud Architect, Backend Architect, API Architect, DevOps Engineer, Laravel Expert, Database Optimizer, Test Automator, and Security Auditor.Problem: Agents aren't coordinating or the tech-lead is trying to execute code directly.
Solution: Ensure you have applied the orchestration framework from CLAUDE.md.example to your global ~/.claude/CLAUDE.md file.
Problem: Conflicts with existing CLAUDE.md instructions.
Solution: Carefully merge the key "ORCHESTRATION", "PROTOCOL", and "EXECUTION" sections from our example into your existing rules.
This project is licensed under the MIT License - see the LICENSE file for details.
干净、强大、属于你的 AI Agent 平台 --AI agents, without the clutter.
Native macOS app to monitor Claude AI usage limits and watch your coding sessions live
An AI-powered custom node for ComfyUI designed to enhance workflow automation and provide intelligent assistance
npx CLI installing 100+ agents, commands, hooks, and integrations in one command