tobihagemann

tobihagemann / turbo

Public

A modular collection of Claude Code skills that speed up everyday dev tasks while keeping quality high.

22
1
100% credibility
Found Mar 14, 2026 at 21 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Turbo is a collection of modular skills designed for the Claude Code AI tool to automate and enhance developer workflows for planning, coding, testing, reviewing, committing, and creating pull requests.

How It Works

1
🔍 Discover Turbo

You hear about Turbo, a smart helper that makes your AI coding assistant faster and better at building software.

2
🛠️ Get your AI assistant ready

Install a couple of simple tools like your AI coding buddy and a way to share your work online.

3
🤖 Let AI guide setup

Tell your AI assistant to walk you through copying the helpers into place – it does most of the work for you.

4
🗺️ Plan what to build

Chat with your AI to create a clear plan for your project feature, keeping everything organized.

5
💻 Build your code

Work with your AI to write the code, following the plan step by step.

6
✨ Polish and perfect

Tell your AI to test everything, simplify the code, review it smartly, and get it ready to share.

🚀 Ship and improve

Your code is committed, shared as a proposal for review, and your AI learns from the session to get even better next time.

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AI-Generated Review

What is turbo?

Turbo is a Python-powered set of modular skills for Claude Code, Anthropic's AI coding agent, that automates dev workflows from planning to PR. Tell Claude to run /finalize after implementing, and it stages changes, writes tests, simplifies code via multi-agent review, runs AI code checks, self-improves from the session, commits, and creates GitHub PRs—all in one chain. Like github hotwire turbo for AI, it solves the grind of manual QA, debugging, and git ops while keeping output quality high through interconnected puzzle-piece skills.

Why is it gaining traction?

Its hook is the composable workflows: swap pieces like the macOS-only /oracle debugger for your own tools, and the rest still flows, unlike rigid AI prompts. Self-improvement via /self-improve mines chats for project-specific lessons, compounding speed over sessions—rare in github turbo ai tools. Developers dig the planning pipeline for big projects, turning specs into bite-sized prompts, plus GitHub CLI integration for seamless PRs and comment resolution.

Who should use this?

Experienced backend or fullstack devs on Claude Code Max/Team plans building complex apps, especially those juggling tests, reviews, and PRs in github turbo repo setups. Ideal for solo contributors or small teams debugging failures with /investigate or scaling via modular planning, but skip if your projects lack tests or linters.

Verdict

Try it if you're deep in Claude Code—docs are thorough, setup is guided, and it delivers real workflow wins despite 19 stars and 1.0% credibility score signaling early maturity. Fork and tweak for longevity; it's raw but punches above its weight for AI-augmented dev.

(198 words)

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