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qakitlisted

Generate a step-by-step manual QA and test plan for a feature just implemented, grounded in the actual code changes, and save it to docs/qa for a human to run. Use when a coding session wraps and you want to hand-test the result, or the user says "write a QA plan", "make a manual test plan", "how do I test this", "generate a testing plan for this feature", or runs /qakit.
mimukit/skills · ★ 1 · Testing & QA · score 80
Install: claude install-skill mimukit/skills
# qakit Turn a feature an AI agent just implemented into a **manual QA plan a human can actually run**, with concrete steps, verification checkpoints inline, and pass/fail/skip boxes, grounded in what the code actually changed rather than a generic checklist. The plan is written to `docs/qa/` so a person can walk it top to bottom and sign off on the feature by hand. This is **manual** QA, meaning steps that genuinely need a human to perform and judge (click through a flow, read a screen, feel out the UX), not checks a machine can do on its own. The value is a disciplined, diff-grounded plan: what to test, in what order, with what setup, and how to know it passed, focused on the things that *can't* be verified without a human eye. Anything an AI agent or script can confirm on its own, such as running a terminal command and reading its output, hitting an endpoint, or asserting a return value, does **not** belong in the human's checklist. The agent runs those itself and reports the results in an **Automated verification** section at the end of the plan, so the human sees them confirmed without re-running them by hand. The plan is organized around **setup**, not around dimensions. Setup is what a manual QA pass actually costs: reseeding data, logging in, getting the app into a particular state. A plan that makes the tester rebuild the same state five times because five cases each restate it is a worse plan than one with fewer, fatter cases. ## When this fires The user finis