execute

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Carry an approved task through to working, verified code

AI & Automation 39,098 stars 3499 forks Updated today MIT

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Quality Score: 91/100

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Issue Health 10%
50
License 10%
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Description 5%
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Skill Content

# Execute Use this skill when the work is understood and the job is to build it. This is the canonical execution workflow. `autopilot`, `ralph`, `ultragoal`, `ultrapilot`, `pipeline`, and `swarm` route here. ## Goal Take a task from agreed intent to working code, with evidence that it works. ## Workflow 1. Confirm the task is clear enough to build. If it is not, plan first. 2. Break the work into independent units; run genuinely independent units in parallel. 3. Implement the smallest correct change per unit, reusing existing utilities and patterns. 4. Verify as you go, not only at the end. 5. Report what changed, what was verified, and what remains. ## Scale Match the machinery to the task: - **Single unit** — implement directly, verify, done. - **Several independent units** — delegate to `executor` agents in parallel. - **Long-running or unbounded** — keep a durable task list and continue until the list is empty. - **Needs coordinated parallel workers** — use `team`. Do not spin up coordination for work that one focused pass would finish. ## Rules - Prefer deletion over addition when behavior is preserved. - Do not add dependencies without an explicit request. - Keep diffs small and reversible. - Placeholder TODOs, `test.skip`, and stub tests are blockers, not progress. - Authoring and approval are separate passes — do not self-approve; hand off to `review` or `verify`. ## Completion Before claiming done: - No pending tasks - Tests pass, or failures are reported pla...

Details

Author
Yeachan-Heo
Repository
Yeachan-Heo/oh-my-claudecode
Created
8 months ago
Last Updated
today
Language
TypeScript
License
MIT

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