spec-kitty-cli 3.2.0rc7

Spec Kitty, a tool for Specification Driven Development (SDD) agentic projects, with kanban and git worktree isolation.

Spec Kitty

Spec-driven development for AI coding agents.

Spec Kitty is an open-source CLI for turning product intent into a repeatable agent workflow:

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

It keeps the important context in your repository, creates work packages that agents can execute, and uses git worktrees so implementation work can happen without constantly switching branches.

Is It For You?

Use Spec Kitty when:

• AI coding sessions are losing requirements, decisions, or acceptance criteria.
• You want specs, plans, tasks, reviews, and merge state stored in the repo.
• Multiple agents or developers need clear work package boundaries.
• You want a local workflow first, with optional hosted tracker and sync integrations later.

It is probably overkill for one-off edits, tiny scripts, or teams that do not use Git.

What It Provides

Need	Spec Kitty provides
Start from intent	Guided specify, plan, and tasks workflows
Keep agents aligned	Repository-native mission artifacts under kitty-specs/
Split implementation	Work packages with lifecycle lanes such as planned, in_progress, for_review, and done
Avoid branch chaos	Isolated git worktrees under .worktrees/
See progress	Optional local kanban dashboard with spec-kitty dashboard
Integrate agents	Slash commands or skills for common AI coding tools

Quick Start

Install the CLI:

pipx install spec-kitty-cli

pipx is the preferred installer for the CLI because it keeps Spec Kitty in its own virtual environment and avoids the externally-managed-environment errors common on modern Linux distributions.

Other supported install methods:

uv tool install spec-kitty-cli
# or, inside an activated virtual environment
python -m pip install spec-kitty-cli

Create or initialize a project:

spec-kitty init my-project --ai claude
cd my-project
spec-kitty verify-setup

Replace claude with your agent key when needed. Common choices include codex, cursor, gemini, copilot, opencode, qwen, windsurf, kiro, and vibe.

Open your AI coding agent in the project and run the core workflow:

/spec-kitty.charter
/spec-kitty.specify Build a small task list app.
/spec-kitty.plan
/spec-kitty.tasks

Then let the runtime choose the next action until the mission is ready:

spec-kitty next --agent claude --mission <mission-slug>

Review, accept, and merge:

/spec-kitty.review
/spec-kitty.accept
/spec-kitty.merge --push

For the full walkthrough, see Your First Feature.

Everyday Commands

Command	Purpose
spec-kitty init . --ai <agent>	Add Spec Kitty to the current repo
spec-kitty verify-setup	Check local installation and project wiring
spec-kitty dashboard	Open the local mission dashboard
spec-kitty next --agent <agent> --mission <slug>	Ask Spec Kitty what the agent should do next
spec-kitty upgrade	Update an existing project after upgrading the CLI
spec-kitty --help	Show available commands

Documentation

Start here:

• Getting Started
• Your First Feature
• CLI Command Reference
• Slash Commands
• Supported Agents
• Dashboard Guide
• Install and Upgrade

Deeper topics:

• Spec-Driven Development
• Mission System
• Git Worktrees
• Multi-Agent Orchestration
• External Orchestrator Runbook
• Hosted Sync Workspaces

Development

git clone https://github.com/Priivacy-ai/spec-kitty.git
cd spec-kitty
pip install -e ".[test]"

When testing templates from a source checkout:

export SPEC_KITTY_TEMPLATE_ROOT="$(pwd)"
spec-kitty init my-project --ai claude

See CONTRIBUTING.md for contribution guidelines.

Support

• Open a GitHub issue for bugs, feature requests, or questions.
• See CHANGELOG.md for release notes.
• See CONTRIBUTORS.md and the GitHub contributors graph for contributor credits.

License

Spec Kitty is released under the MIT License.