cmAIdx

cmAIdx / headless-claude-automation-template

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A reusable template for autonomous software delivery using headless Claude agents. Feed a requirements doc in, review pull requests out.

www.agentcanvas.aiheadless-claude-automation ai-agents automation autonomous-coding ci-cd claude
10
2
100% credibility
Found Mar 06, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Shell
AI Summary

A template that automates turning requirements documents into implemented software features using AI agents for development, review, and fixes, with human oversight at key points.

How It Works

1
🔍 Discover the template

You find this ready-made guide that lets smart helpers automatically turn your software ideas into working code with just a bit of your input.

2
📋 Make your copy

You create your own version of the template in your online project space to get started.

3
🔗 Connect your helpers

You link up your AI thinking service and task organizer so they can team up smoothly.

4
📖 Share your project style

You fill in a simple guide telling the AI how your project should be built, like giving rules to a new team member.

5
📝 Write your wishes

You jot down what new feature you want in a plain note, describing it in everyday words.

6
▶️ Launch the process

You give the go-ahead, and the AI springs into action, chopping your idea into doable pieces and starting to build.

7
👀 Review the results

You peek at the proposed changes, reading the full story of what the AI decided and did, then approve or suggest tweaks.

✅ Feature ready!

Your new feature is added to the project, all done with minimal hassle and full transparency.

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AI-Generated Review

What is headless-claude-automation-template?

This Shell-based template deploys headless Claude agents via reusable GitHub Actions workflows to automate software delivery from a requirements doc to reviewed pull requests. You feed in a spec, it syncs stories to GitHub Issues using Linear integration, spins up dev agents to implement and test features, auto-reviews PRs, and iterates fixes up to five times—all with safety hooks blocking destructive commands. Two human steps remain: writing the doc and final approval.

Why is it gaining traction?

It packages a full agent pipeline as a github reusable workflow example, handling secrets, environment variables, and outputs without custom infra, unlike composite actions or persistent servers. Developers dig the transparency—PRs include decision logs—and real-time issue updates, making it a practical reusable github actions workflow over manual Claude Code sessions. The dev/review/fix separation keeps contexts clean, resolving most issues in 1-2 loops.

Who should use this?

Solo founders or small teams prototyping web apps, tired of orchestrating Claude implementations manually. Ideal for backend devs automating CRUD features from specs, or frontend builders chaining reusable workflows for Angular/Vue components without babysitting. Pairs well with Linear users wanting github reusable steps for agent-driven sprints.

Verdict

Fork this for quick Claude automation wins—strong docs and safety make it a reusable template worth tweaking, despite 1.0% credibility and 10 stars signaling early maturity. Test on a throwaway repo first; production needs your CLAUDE.md polish.

(198 words)

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