99xAgency

99xAgency / GodModeSkill

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Multi-LLM cross-review workflow for Claude Code. /work orchestrates plan/implement/bug-fix with 3 different model families voting on every gate.

44
4
100% credibility
Found Apr 28, 2026 at 44 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Shell
AI Summary

GodModeSkill enhances AI-assisted coding by coordinating multiple AI models from diverse sources to collaboratively review, approve, and integrate code changes only after consensus.

How It Works

1
🔍 Discover GodModeSkill

You hear about a clever way to make your AI coding helper smarter by teaming it up with other AI friends for better code checks.

2
📋 Easy Setup

Open your AI coding helper, paste simple instructions, and it guides you to connect a few different AI thinkers with your subscriptions.

3
🤝 Build Your AI Team

Link up thinkers from different AI families so they can review work together, catching mistakes one alone might miss.

4
💡 Start a Task

Type a simple command like 'plan a new feature' or 'fix this bug,' and your main AI takes charge.

5
👥 Team Review Magic

Your AI team works in parallel, sharing opinions until everyone agrees it's solid—no changes happen without full thumbs-up.

6
✅ Final Check and Merge

Review a clear checklist of what's good or needs tweaks, then safely add the improvements to your project.

🎉 Code Wins

Enjoy bug-free updates that feel reliable, thanks to the smart team double-checking everything for you.

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Star Growth

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AI-Generated Review

What is GodModeSkill?

GodModeSkill is a Shell-based multi-LLM framework on GitHub that supercharges Claude Code with the /work command. It orchestrates plan/implement/bug-fix workflows, running every step past three different model families—Codex, Gemini, and OpenCode—for cross-review before any git merge. This multi-agent LLM system catches subtle bugs and design drifts that single models miss, enforcing a quorum gate where all families must agree or Claude revises.

Why is it gaining traction?

Unlike echo-chamber single-model reviews, it mandates lineage diversity across model families for sharper multi-LLM chat and multi-turn conversation checks, with zero token burn during waits via filesystem events. Users get auto-git handling, resilient error recovery like peer swaps on failures, and pre-merge checklists, all at near-zero cost on subscriptions. The /work CLI picks modes like plan or major-bug automatically, making multi-agent LLM GitHub workflows feel seamless.

Who should use this?

Backend devs building features in Claude Code who have ChatGPT Plus, Google AI Pro, and OpenCode Go CLIs. Solo AI coders fixing major bugs or planning OAuth flows, tired of silent failures in tests. Teams wanting multi-LLM GitHub guardrails without custom multi-agent system LLM setups.

Verdict

Try it if you're deep in Claude Code and multiple LLMs—solid user-facing automation despite 44 stars and 1.0% credibility score signaling early maturity. Docs are thorough, but expect tweaks for your CLI quirks; low adoption means unproven at scale.

(198 words)

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