by Priivacy-ai
Spec-Driven Development for serious software developers. Spec Coding with with Claude, Cursor, Gemini, Codex. Kanban dashboard, git worktrees, auto-merge and more.
# Add to your Claude Code skills
git clone https://github.com/Priivacy-ai/spec-kittyLast scanned: 4/30/2026
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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.
Use Spec Kitty when:
It is probably overkill for one-off edits, tiny scripts, or teams that do not use Git.
| 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 |
| Learn from missions | Every completed mission generates a retrospective by default. Tune via .kittify/config.yaml#retrospective or charter; see how-to. |
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, vibe, pi, and letta.
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, merge, and close the loop:
/spec-kitty.review
/spec-kitty.accept
/spec-kitty.merge --push
After merge, run /spec-kitty-mission-review. The mission's
retrospective.yaml is authored during the runtime terminus (HiC prompt or
autonomous facilitator), not by merge. Once it exists, use
spec-kitty retrospect summary for the cross-mission view and
spec-kitty agent retrospect synthesize --mission <mission-slug> to apply any
staged proposals (dry-run by default — pass --apply to mutate).
For the full walkthrough, see Your First Feature.
| 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 |
Start here:
Deeper topics:
Hosted auth, sync, and tracker flows remain opt-in today. Internal /
pre-launch operators dogfooding the hidden hosted-readiness mode behind
SPEC_KITTY_ENABLE_SAAS_SYNC=1 should read
Internal Hosted-Readiness (Pre-Launch).
The launch-day behavior that will replace today's defaults is staged
under Launch-Readiness Behavior (Coming Soon).
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.
The drift-detector required check runs
tests/sync/test_diagnose.py::TestCanonicalRegistryRecognition on every PR
against main. It catches drift between the canonical registries in this
repo and the consumer-recognition contract that
spec-kitty-end-to-end-testing#41 closed over an 8-RC peeling cycle
(rc14 → rc22). Workflow file:
.github/workflows/drift-detector.yml.
This is one of three coordinated CI gates tracked under
#1247:
drift-detector here (this repo).cross-repo-harness-tests in spec-kitty-events — workflow .github/workflows/cross-repo-harness-tests.yml.identity-boundary-canary in spec-kitty-saas — workflow .github/workflows/canary-gate.yml.This repo's drift-detector pins no external SHA — it only runs an in-repo
test. The sibling repos' workflows pin a specific commit of
Priivacy-ai/spec-kitty-end-to-end-testing; see each sibling's README
"Identity-Boundary CI Gate" section for the SHA-bump procedure.
Admin action required (one-time per repo): after this gate merges, a
repo admin must register the check as required on main:
main.drift-detector.Until that step is done, the workflow still runs on every PR but its red status does not block merge.
Spec Kitty is released under the MIT License.