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tobihagemann
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tobihagemann/turbo

Reusable workflows for planning, building, reviewing, and shipping with Claude Code and Codex.

Python ◇ agent-skills MIT
★405STARS
⑂32FORKS
!0ISSUES
🏆#11,495GLOBAL RANK
🔥28DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

turbo is turbo is an open-source project written in Python: Reusable workflows for planning, building, reviewing, and shipping with Claude Code and Codex..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of October 2026), tobihagemann/turbo has accumulated 405 GitHub stars and 32 forks. It is written in Python, licensed under MIT, and ranks #11,495 globally. It is actively maintained with the latest commit recorded on Oct 3, 2026.”
Repository tobihagemann/turbo ↗
Primary Category agent skills
Language & Stack Python
Software License MIT
Community Traction ★ 405 stars · ⑂ 32 forks · #11,495 globally
Maintenance ● Active (Last commit: Oct 3, 2026) · 0 open issues
Target Audience Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 88/100 · Grade A
✅
Is turbo actively maintained in 2026?
Verdict: Actively Maintained

Yes, turbo is actively maintained. Continuous telemetry recorded the last code commit on Oct 3, 2026 (27 days ago). Supported by 405 stars and 32 community forks, this repository holds a calculated health index of 88/100, reflecting regular maintenance (27 days ago) and healthy issue cadence.

Commit Recency
Oct 3, 2026
27 days since last push
Issue Backlog
0 Open Issues
Healthy Issue Cadence
Community Backing
32 Forks
405 Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for tobihagemann/turbo
CSV
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Momentum

+0

STARS · LAST 30 DAYS

1

PER DAY

#1,486

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+0+90
Per day111
Forks gained+0+0+10

turbo gained 0 stars in the last 30 days, about 1 a day, and now has 405. It is about 1 year old and has averaged roughly 405 stars a year. It ranks #1,486 among Python repositories and #11,495 across all languages on GitHubRepo.

Trending Record

turbo has maintained a continuous presence across global trending indexes, peaking at #5034. Below is the 30-day activity profile:

💡 Overview

turbo is an open-source project written in Python: Reusable workflows for planning, building, reviewing, and shipping with Claude Code and Codex.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-skills, claude-code, claude-skills. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install turbo

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

turbo coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with turbo.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install turbo using your package manager: `pip install turbo`

2

Initialize your project workspace or configuration file for turbo.

3

Import turbo into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `turbo --help` to verify successful setup.

👍 Strengths

Active community backing with 405 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

tobihagemann/turbo is currently ranked #11,495 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#11,478 langchain-ai/langchain-google Python ★ 406 Compare ↗
#11,478 JeroenGar/sparrow Rust ★ 406 Compare ↗
#11,478 AlirezaParsi/COPG JavaScript ★ 406 Compare ↗
#11,478 no-faff/InstallerClean C# ★ 406 Compare ↗
#11,478 DotHarness/dotcraft C# ★ 406 Compare ↗
#11,495 tobihagemann/turbo This Project Python ★ 405
#11,495 pingswept/pysolar Jupyter Notebook ★ 405 Compare ↗
#11,495 jruby/jruby-rack Ruby ★ 405 Compare ↗
#11,495 sous-chefs/java Ruby ★ 405 Compare ↗
#11,495 Fody/MethodDecorator C# ★ 405 Compare ↗
#11,495 ForceCLI/force Go ★ 405 Compare ↗
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Frequently Asked Questions

What does turbo do? +

Reusable workflows for planning, building, reviewing, and shipping with Claude Code and Codex.

Is turbo actively maintained in 2026? +

Yes, turbo is actively maintained. The latest code push was recorded on Oct 3, 2026 (27 days ago). It holds a calculated Maintenance Health Score of 88/100 (A rating) with 405 stars and 0 open issues.

What language is turbo written in? +

The primary language is Python. Topics include: agent-skills, claude-code, claude-skills, codex, codex-skills.

How many stars does turbo have? +

turbo has 405 stars and 32 forks on GitHub.

How does turbo rank among GitHub repositories? +

With 405 stars, tobihagemann/turbo is ranked #11,495 globally across all repositories tracked on GitHubRepo and #1,486 among Python projects.

What license is turbo distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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