jessepwj

jessepwj / CCteam-creator

Public

Multi-agent team orchestration skill for Claude Code. Set up parallel AI agent teams with file-based planning and role-based collaboration.

17
2
100% credibility
Found Mar 24, 2026 at 17 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

CCteam-creator is a plugin for Claude Code that sets up and manages teams of specialized AI agents to collaboratively build and refine software projects.

How It Works

1
🔍 Discover the team builder

You hear about a helpful tool that lets groups of smart helpers work together on your coding dreams inside your favorite coding assistant.

2
⚙️ Get ready for teams

You flip a simple switch in your coding assistant to unlock the magic of teamwork.

3
🛒 Add the team tool

You grab the tool from the easy shop or copy it into your space with a few clicks.

4
💭 Describe your project

You chat with it about your idea, like building an online store, and it suggests the perfect group of helpers.

5
👥 Team assembles

It creates a squad of experts—coders, checkers, researchers—who know their roles and start planning together.

6
🚀 Watch them build

You see the team chatting, coding side-by-side, testing, and reviewing in real time, making your project come alive.

🎉 Project complete

Your app or site is fully built, tested, and documented, ready for you to launch and share.

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Star Growth

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AI-Generated Review

What is CCteam-creator?

CCteam-creator is a Claude Code skill that orchestrates multi-agent teams for software projects, turning a single AI into parallel specialists like backend devs, frontend devs, researchers, and reviewers. You invoke it with `/CCteam-creator:setup` or keywords like "team" or "build team," and it consults on your needs, spins up a custom roster, and manages collaboration via file-based planning and a shared docs knowledge base. This claude multi agent github tool solves context bloat in long projects by persisting state to files, enabling reliable handoffs without losing track.

Why is it gaining traction?

It stands out in the multi agent teams space by borrowing harness engineering from OpenAI—structured docs for invariants, Doc-Code sync, and failure-to-guardrail loops—while enabling true parallel execution in Claude Code's experimental agent teams. Developers notice faster vertical slices with TDD, e2e testing via Playwright, and phase gates that catch issues early, unlike solo agents or basic langgraph multi agent github setups. The hook: real-time dashboards tracking all agents' progress and token use, making multi agent collaboration via cross team orchestration feel like a pro dev team.

Who should use this?

Full-stack solo devs prototyping e-commerce APIs or chat apps, where you need researcher upfront scoping plus devs and testers in parallel. Indie hackers building observable web services, tired of manual reviews and doc drift. Early adopters experimenting with multi agent ai software team workflows in Claude Code, especially for TDD-heavy projects.

Verdict

Worth a spin if you're deep in Claude Code—solid docs, MIT license, and vivid screenshots make setup straightforward despite 17 stars and 1.0% credibility score signaling early maturity. Test on a side project first; it's experimental gold for multi agent teaming but needs more battle scars.

(198 words)

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