by zhu1090093659 · Claude Skill · ★ 912
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English | 中文 Table of Contents What It Does Deep Discuss — Structured Deep Discussion S.U.P.E.R — The Architectural Backbone Platform Compatibility Installation Usage Project Structure Friendly Links License Spec-Driven Develop A structured methodology for AI coding agents. Pure Markdown. Any platform. Architecture-first. Spec-Driven Develop is a platform-agnostic AI agent plugin that ships two complementary skills: Spec-Driven Develop — automates the full pre-development pipeline for large-scale complex tasks: deep project analysis, phased task decomposition, document-driven progress tracking, and task-specific sub-SKILL generation — all before a single line of implementation code is written
| Stars | 912 |
| Forks | 95 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 68.4419456568867/100 |
| Last Updated | 2026-07-01 |
| Created | 2026-03-21 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~17k |
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spec_driven_develop is Spec-driven development workflow for AI coding agents: architecture-first planning, task decomposition, GitHub Issue/PR tracking, Deep Discuss, and adaptive control for Claude Code, Codex, Cursor, and. It is categorized as a Claude Skill with 912 GitHub stars.
spec_driven_develop is primarily written in Python. It covers topics such as ai-agent, ai-assisted-development, ai-coding-assistant.
You can find installation instructions and usage details in the spec_driven_develop GitHub repository at github.com/zhu1090093659/spec_driven_develop. The project has 912 stars and 95 forks, indicating an active community.
spec_driven_develop is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to spec_driven_develop on Agent Skills Hub include Overture, quint-code, SWE-AF. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.