This repository aggregates a vast, community-driven collection of Claude Code agents and sub-agents, designed to empower Claude instances as expert teams. It targets developers and power users seeking to automate complex workflows by orchestrating specialized AI agents, thereby accelerating development and improving code quality through intelligent delegation.

How It Works

Claude Agents are defined via Markdown+YAML files, specifying roles, tools, and prompts. The core mechanism involves sub-agent support, allowing complex projects to be decomposed and delegated to multiple specialized agents that can operate in parallel, mimicking human expert collaboration for sophisticated task execution.

Quick Start & Requirements

Setup involves cloning curated agent collections (e.g., git clone https://github.com/0xfurai/claude-code-subagents.git ~/.claude/agents/mega-pack) or installing management tools like npm install -g claude-sub-agents-manager. Local agents are created within a .claude/agents/ directory. Official documentation links are provided for Anthropic Sub-Agents Docs and Best Practices.

Highlighted Details

The collection boasts hundreds of specialized agents covering the full development lifecycle, from planning and implementation to QA and documentation. Examples include Tech Debt Finders, Architecture Reviewers, and Test Generators. Frameworks like hesreallyhim/awesome-claude-agents offer advanced orchestration, while tools like webdevtodayjason/sub-agents provide CLI management. Agent categories span diverse domains like languages, cloud, security, and business functions, supporting advanced patterns such as parallel execution and conditional routing.

Maintenance & Community

This community-driven project was updated as of August 2025. Active engagement occurs on Reddit (r/ClaudeAI, r/programming), GitHub topics (#claude-agents), and the subagents.cc directory. Contributions are welcomed via pull requests.

Licensing & Compatibility

The directory is licensed under MIT. Individual agent files may have separate copyright notices, requiring users to verify compatibility for commercial use or closed-source integration on a per-agent basis.

Limitations & Caveats

A key limitation is the system-imposed maximum parallelism of 10 tasks. Common pitfalls include vague agent descriptions, excessive token usage from lengthy prompts, and challenges in merging outputs. Careful prompt engineering and tool scoping are essential for efficient and secure operation.