SamJHudson01

SamJHudson01 / Carmack-Council

Public

Multi-agent Claude Code skill for building apps and stuff

claude-skills
19
1
100% credibility
Found Mar 13, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A set of downloadable packs that transform an AI coding assistant into a council of domain experts for generating specs, planning, implementing, and reviewing software features.

How It Works

1
🔍 Discover Carmack Council

You hear about a helpful team of virtual expert advisors that guide you through building better software using your AI coding companion.

2
📥 Grab the Advisor Packs

You download the ready-made packs that contain all the expert knowledge and instructions.

3
✨ Add to Your AI Helper

You easily install the packs into your AI coding companion, unlocking the full council of advisors.

4
💡 Describe Your Idea

You share what feature or change you want to make in simple words.

5
📋 Get a Smart Plan

The council chair gathers advice from all experts and hands you a clear, step-by-step plan tailored to your project.

6
🔨 Build with Guidance

You follow the plan, with each expert helping on their specialty, checking everything as you go.

7
🔍 Expert Review

The full council reviews your work in parallel, spotting improvements and prioritizing the best ones.

🚀 Ship Confidently

Your feature is polished, expert-approved, and ready to launch, making your software stronger every time.

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AI-Generated Review

What is Carmack-Council?

Carmack-Council is a Python-powered multi-agent skillset for Claude Code, turning AI into a council of domain experts for building web apps. You get four installable skills—spec-writer for structured specs, council-plan for dependency-ordered plans, council-implement for task-by-task coding, and council-review for prioritized fixes—all grounded in principles from pros like John Carmack and Troy Hunt. It targets a greenfield stack of Next.js App Router, tRPC, Prisma, Neon, Clerk, CSS Modules, and Railway, solving the problem of inconsistent AI outputs by enforcing battle-tested patterns.

Why is it gaining traction?

Unlike generic langgraph multi agent github tools or multi agent claude code reddit experiments, this stands out with parallel subagents drawing from real expert docs, plus a conventions.md file that lets the system learn your codebase over time. Developers dig the workflow loop that verifies code after every step, scales to large repos without context overload, and forks easily for custom stacks via multi agent claude code setup. It's a multi-agent claude swarm focused on shipping fast, not abstract cleverness.

Who should use this?

Full-stack devs solo-building Next.js apps who use Claude Code and want AI to handle specs, plans, and reviews without babysitting. Teams on similar stacks (Prisma, tRPC, Neon) tired of refactoring AI slop into production code. Early adopters experimenting with multi agent coding claude for structured greenfield projects.

Verdict

Worth forking if you're on the target stack and Claude Code—strong docs and workflow make it punch above 17 stars, despite 1.0% credibility signaling early maturity. Skip if you need broad compatibility or zero setup; test the pre-built skills first.

(198 words)

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