Mindket

Spec Kit

Newversion 1 · updated
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Overview

Provides a toolkit of templates and processes to guide AI coding agents through feature development, bug fixing, and project assessment.

Spec Kit is an open-source project on GitHub in the Developer category, listed by Mindket. It is free. This is version 1, last updated on . Install it from GitHub as its README says. Get Mindket’s setup notes on your Mindket account, as a zip.

At a glance

You need
  • Python 3.11 or newer
  • The uv package installer
  • A supported AI coding agent
  • A terminal on Linux, macOS, or Windows
Start with
uv tool install specify-cli
specify init my-project --integration copilot
cd my-project

Platform

LinuxOperating system
macOSOperating system
WindowsOperating system

About

Who it suits

This toolkit helps developers and teams who want to build features, fix bugs, or assess ideas using their AI coding agents.

Where to use it

It works in your terminal and integrates with supported AI coding agents. You can use it locally or behind a firewall.

How to set it up

  • Python 3.11 or newer
  • The uv package installer
  • A supported AI coding agent
  • A terminal on Linux, macOS, or Windows
  1. Install the CLI tool.
  2. Initialize your project directory.
  3. Move into the project folder.
uv tool install specify-cli
specify init my-project --integration copilot
cd my-project

How to use it

You run processes by triggering slash commands in your coding agent's chat interface. You manage extensions and project configuration from your terminal.

For newcomers and experts

You can use these tools to define specifications, plan tasks, and track implementation. You can install extensions for bug fixing or idea assessment as your needs evolve. For custom requirements, you can adapt templates, commands, and workflows using presets or overlays to match your own standards.

Good to know

  • Catalog listings are not audits, so review community source code before installing it.
  • Workflows can be modified via overlays without forking.
  • It is MIT licensed.
  • It provides artifact inventory tracking to inspect which layer supplies a command or template.

README and files

README

Spec Kit

Provides a toolkit of templates and processes to guide AI coding agents through feature development, bug fixing, and project assessment.

Made by github on GitHub. These notes are Minda's, written from its README; the project's own files and license are in its repository.

About

Who it suits: This toolkit helps developers and teams who want to build features, fix bugs, or assess ideas using their AI coding agents.

Where to use it: It works in your terminal and integrates with supported AI coding agents. You can use it locally or behind a firewall.

How to set it up:

  • Python 3.11 or newer
  • The uv package installer
  • A supported AI coding agent
  • A terminal on Linux, macOS, or Windows
  1. Install the CLI tool.
  2. Initialize your project directory.
  3. Move into the project folder.
uv tool install specify-cli
specify init my-project --integration copilot
cd my-project

How to use it: You run processes by triggering slash commands in your coding agent's chat interface. You manage extensions and project configuration from your terminal.

For newcomers and experts: You can use these tools to define specifications, plan tasks, and track implementation. You can install extensions for bug fixing or idea assessment as your needs evolve. For custom requirements, you can adapt templates, commands, and workflows using presets or overlays to match your own standards.

Good to know:

  • Catalog listings are not audits, so review community source code before installing it.
  • Workflows can be modified via overlays without forking.
  • It is MIT licensed.
  • It provides artifact inventory tracking to inspect which layer supplies a command or template.

On GitHub, 5 November 2026

  • Stars: 147,347 (808 that day)
  • Forks: 13,220
  • Watching: 733
  • Open issues and pull requests: 192
  • Language: Python
  • License: MIT
  • Topics: ai, copilot, development, engineering, prd, spec, spec-driven
  • Trending: #7 repository of the day on GitHub trending (5 November 2026)

Links

Intro videos

Get the code

git clone https://github.com/github/spec-kit.git

Then follow the setup in its README. Nothing in this kit runs by itself.

Files
README.md  3 KB

1 file, 3 KB, downloaded as a zip.

What’s new

  • Version 1 · 2026-11-05

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What people say

Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search and on Trendshift. Mindket doesn’t write or check them. Open one to read it where it was posted.

mohi-kalantariWhat's the Deal with GitHub Spec Kit16 points · 3 repliesCodeCrewWe compared CodeCrew with Spec Kit, BMAD, OpenSpec and GSD. The first three are about the specs and plans a coding agent works from. CodeCrew covers a neighbouring problem, where one agent builds and a separate one reviews, on GitHub. codecrew.works/why/compared #AIAgents3 likeschrismustcodeGitHub/spec-kit – Toolkit to help you get started with Spec-Driven Development7 points · 1 replyGitHub Trending🎉 Celebrating! 🎉 (500+ new stars) 📦 github / spec-kit ⭐ 146,922 (+810) 🗒 Python 💫 Toolkit to help you get started with SDD or any other process!1 like · 1 replyobilgicGitHub/spec-kit: Get started with Spec-Driven Development3 points · 1 reply@ai-trend-to-know.bsky.socialgithub/spec-kit 💻 Python #Python #OpenSource #AIAgents #GitHub 🔗 trendtoknow.com/github/spec-...2 likessaikatsgGitHub Spec Kit4 pointsSergey007GitHub's Spec Kit puts specifications before code when working with AI agents. This gives us something concrete to verify: does the generated code actually match the original requirements? A useful step toward making AI-generated software independently verifiable. @github2 repliesankitg12GitHub Spec Kit3 pointsデイリーGitHubトレンド今日のGitHubトレンド github/spec-kit Spec Kitは、AIコーディングエージェントに構造化されたプロセス、再利用可能なテンプレート、文書化された成果物を提供するオープンソースのツールキットです。 仕様駆動開発、バグ修正、アイデア評価といった定型プロセスを提供し、独自のプロセス作成やカスタマイズも可能です。 拡張機能により外部ツールとの連携や動作制御を実現し、AIによる開発プロセスの体系化と効率化を目的としています。1 liketontoniusGitHub Spec Kit – Toolkit for Spec-Driven Development2 pointsStackRadarspec-kit — 💫 Toolkit to help you get started with SDD or any other process! Link: https://github.com/github/spec-kit #OpenSource #GitHub #DevTools

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