zhu1090093659

zhu1090093659 / spec_driven_develop

Public

Cross-platform AI agent skill for spec-driven development: analyze codebases, decompose large transformations, and track long-running work.

github.comzhu1090093659spec_driven_develop
58
11
100% credibility
Found Mar 21, 2026 at 58 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Shell
AI Summary

Spec-Driven Develop is a single Markdown file that equips AI coding assistants with a structured planning methodology for tackling large-scale software tasks across multiple platforms.

How It Works

1
🔍 Discover the helper

You learn about Spec-Driven Develop, a simple guide that helps your AI coding buddy plan huge projects without chaos.

2
đź“Ą Add it to your AI tool

You quickly set it up in your favorite AI coding assistant, like Claude Code, Codex, or Cursor, with an easy one-command step.

3
đź’ˇ Share your big goal

You simply describe a massive task, like 'rewrite this whole project in Rust,' and your AI jumps into action.

4
đź“‹ Get a smart plan

Your AI deeply studies the project, splits it into clear steps, and makes a progress tracker to stay on course.

5
🔄 Pick up anytime

No matter if you chat again later, your AI checks the progress notes and continues right where you stopped.

🎉 Finish strong

When everything's done, your AI asks what to keep and tidies up, leaving you with a perfectly organized project.

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AI-Generated Review

What is spec_driven_develop?

Spec-driven develop is a cross-platform AI agent skill built in Shell that equips tools like Claude Code, Codex, and Cursor with a lightweight methodology for tackling massive code overhauls. Drop a prompt like "rewrite this in Rust" or use the /spec-dev command, and it kicks off codebase analysis, task breakdown into phases, and persistent progress tracking via a master document—ensuring continuity across sessions without writing any code yet. It's pure spec-driven development: planning first, execution second, all from one install.

Why is it gaining traction?

Unlike heavy multi-agent frameworks like Superpowers or oh-my-claude, this cross-platform agent stays featherlight with zero dependencies and no runtime overhead, letting you plug it into any workflow. Developers dig the automatic keyword triggers for English/Chinese terms like "migrate" or "重构", plus cross-conversation memory that picks up right where you left off. Simple shell-based installs for Cursor and Codex, or marketplace add for Claude Code, make it a no-fuss entry to structured AI-assisted refactors.

Who should use this?

Backend engineers facing repo-wide migrations, like Python-to-Rust ports or microservices splits, who need AI to plan without derailing into premature code. Multi-tool users bouncing between Claude Code, Codex CLI, and Cursor IDE, seeking a unified spec-driven development approach. Teams with custom processes that just want AI planning smarts, not a full pipeline takeover.

Verdict

Grab it if you're experimenting with cross-platform AI agents for big tasks—installs are straightforward, docs are bilingual and clear. But with 58 stars and a 1.0% credibility score, it's early-stage; expect tweaks as adoption grows. Solid for spec-driven development trials, skip for production-critical work.

(198 words)

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