Priivacy-ai

Spec Kitty — Testing skill for Claude Code

Testing community

Spec-Driven Development for serious software developers.

How to install Spec Kitty

This entry records only its repository, not the path inside it, so there is no exact command to give. Open Priivacy-ai/spec-kitty and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Spec Kitty does

Spec-Driven Development for serious software developers. Spec Coding with with Claude, Cursor, Gemini, Codex. Kanban dashboard, git worktrees, auto-merge and more.

Alternatives in Testing

Spec Driven Develop — Spec-driven development workflow for AI coding agents: architecture-first planning, task decomposition, GitHub 975 ★
Spectra App — Spec-driven development for coding agents — a desktop app, a CLI, and skills for Codex, Claude Code, Cursor, C 735 ★
Spec Kit Zh — 💫 帮助你快速上手规格驱动开发的工具包💫 Toolkit to help you get started with Spec-Driven Development Works seamlessly across al 238 ★

README

Spec Kitty

Spec-driven development for AI coding agents, multi-agent workflows, and governed software factories.

Spec Kitty is an open-source CLI for turning product intent into a repo-native AI coding workflow:

spec -> plan -> tasks -> next -> review -> accept -> merge

Use it to build a governed software factory around Claude Code, Codex, Cursor, Gemini, GitHub Copilot, Windsurf, OpenCode, and other AI coding agents. Spec Kitty keeps specs, plans, work packages, acceptance criteria, review state, and merge decisions in your repository, then gives agents isolated git worktrees so implementation can happen in parallel without branch chaos.

[![PyPI version](https://img.shields.io/pypi/v/spec-kitty-cli?style=flat-square&logo=pypi)](https://pypi.org/project/spec-kitty-cli/) [![License: MIT](https://img.shields.io/badge/license-MIT-yellow?style=flat-square)](LICENSE) [![Python 3.11+](https://img.shields.io/badge/python-3.11+-blue?style=flat-square)](https://www.python.org/downloads/)

Bright Software Factory, Not a Black Box

Spec Kitty is for teams building software factories: repeatable inputs, clear work-package boundaries, isolated execution, visible progress, and review gates. It can support dark software factories and autonomous coding experiments, but it is deliberately not a lights-out black box by default. Humans define intent, architecture, and acceptance criteria; agents implement inside traceable worktrees; reviewers accept, reject, or merge with an audit trail.

The goal is not more prompt text. The goal is a durable operating system for agentic coding where the repository remains the source of truth.