punal100

A light-weight and powerful meta-prompting, context engineering and spec-driven development system for Github Copilot

66
6
100% credibility
Found Feb 08, 2026 at 49 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

This repository offers ready-to-use templates for custom AI agents, prompts, and guides to bring an organized coding workflow to GitHub Copilot users in their projects.

How It Works

1
🔍 Discover GSD Helpers

You find this handy pack of guides that supercharge your AI coding assistant to manage projects smoothly.

2
📥 Add to Your Project

You copy the simple helper files into your project's folder to get everything ready.

3
🔄 Refresh Your Coding App

You reload your coding workspace so it recognizes the new helpers instantly.

4
💬 Chat with Planner

You talk to the smart planner helper, describing your project idea, and it creates a clear step-by-step roadmap just for you.

5
🚀 Build and Check

The AI builders follow the plan, make changes, run tests, and double-check everything works perfectly.

6
Review Progress

You peek at the updates, give thumbs up or tweaks, feeling in control as your project grows.

🎉 Project Done Right

Your app or feature is complete, tested, and ready to shine, all with less hassle and more confidence.

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Star Growth

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AI-Generated Review

What is get-stuff-done-for-github-copilot?

This is a light-weight powerful meta-prompting system that ports the Get Shit Done workflow to GitHub Copilot in VS Code, using custom agents, prompt files, and skills for context engineering and spec-driven development. It structures your Copilot sessions into phases—discuss, plan, execute, verify—to turn vague ideas into atomic commits without context overload. Drop it into any project, tweak VS Code settings, and invoke prompts like gsd:new-project or agents like @gsd-planner to get structured AI assistance.

Why is it gaining traction?

Unlike raw Copilot chats that wander off-track, it enforces fresh context per task, goal-backward verification, and Copilot-native tools like codebase search and editFiles for precise edits. Developers dig the multi-agent orchestration for planning roadmaps or debugging, plus MCP server hooks for web research—making complex projects feel like wielding a lightweight powerful cricket bat or leaf blower in code. With 50 stars, it's pulling in Copilot users tired of ad-hoc prompting.

Who should use this?

Solo full-stack devs tackling greenfield apps or brownfield refactors with Copilot, especially those doing TDD or git-heavy workflows. Frontend teams planning phase-based features, or backend engineers verifying integrations via semantic searches. Skip if you're not deep into VS Code Copilot customizations.

Verdict

Worth cloning for Copilot power users—solid docs and faithful port, but 1.0% credibility score and 50 stars signal early maturity; test on a side project first. Pairs well with the original GSD for non-Copilot setups.

(178 words)

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