Done Means Done
Finish every part of a substantial assignment (code, research, writing, analysis or operations) against a durable ledger of the requested outcomes, executed evidence for each, every confirmed defect fixed, and a gate that alone decides done. Use for multi-part or multi-step work, exhaustive repairs, requests to finish everything, and resuming an unfinished assignment. Resume the same task; never substitute a smaller one.
Install
npx skills add PyModel/done-means-done --skill done-means-donegit clone --depth 1 https://github.com/PyModel/done-means-done.git /tmp/done-means-done
mkdir -p ~/.claude/skills
cp -r /tmp/done-means-done/. ~/.claude/skills/done-means-donePersonal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.
From the SKILL.md
# Done Means Done Strict on outcomes, free on method. The operator's request becomes a **ledger** of outcomes. Each outcome needs current **evidence**. The **gate** (`dmd gate`) is the only thing that decides whether the assignment is finished. How you get there is up to you. ## The contract The gate returns `COMPLETE` only when all of these hold. The Stop hook keeps your turn open until they do. 1. **Every requested outcome is recorded.** Each independently omittable outcome or acceptance-changing constraint in the request and its amendments has its own requirement (`R-*`). Five outcomes means five requirements. Every item the operator listed (`C-*`) is covered by a requirement or marked context, and coverage has been asserted against the current request. 2. **Every requirement is proven now.** Each one has at least one accepted check (`A-*`) against the current tree. Command checks are executed. Attestation alone carries a requirement only with operator authority. 3. **Every confirmed defect is resolved.** Any defect you discover in the authorized project (introduced, pre-existing, minor, or in a dependency) is a finding (`F-*`). It ends fixed with red-then-green regression proof, disproved by evidence, a duplicate, or deferred by the operator. 4. **Nothing is left hanging.** Every planned work item (`W-*`) has accepted evidence or was superseded with a reason. No blocker, unknown external outcome, or interrupted run is open.
Details
- Skill name
done-means-done- Repository
- PyModel/done-means-done
- License
- MIT
- Repo updated
- 20 October 2026
FAQ
What does the Done Means Done skill do?
Finish every part of a substantial assignment (code, research, writing, analysis or operations) against a durable ledger of the requested outcomes, executed evidence for each, every confirmed defect fixed, and a gate that alone decides done. Use for multi-part or multi-step work, exhaustive repairs, requests to finish everything, and resuming an unfinished assignment. Resume the same task; never substitute a smaller one.
How do I install the Done Means Done skill?
skills CLI (Claude Code, Cursor, Codex and more): npx skills add PyModel/done-means-done --skill done-means-done. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.
Is Done Means Done popular?
It lives in PyModel/done-means-done, which has 5 GitHub stars and 1 forks.
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