agent-doc-discipline
Writing-time discipline for documents agents consume (the five surfaces, specs, tickets, .omc/skills/) — every rule checkable and…
Carry an approved task through to working, verified code
Claude Code
$ npx -y skills add Yeachan-Heo/oh-my-claudecode --skill execute --agent claude-code
Codex
$ npx skills add Yeachan-Heo/oh-my-claudecode --skill execute -a codex -y
Cursor
$ npx skills add Yeachan-Heo/oh-my-claudecode --skill execute -a cursor -y
Gemini CLI
$ npx skills add Yeachan-Heo/oh-my-claudecode --skill execute -a gemini-cli -y
GitHub Copilot
$ npx skills add Yeachan-Heo/oh-my-claudecode --skill execute -a github-copilot -y
OpenCode
$ npx skills add Yeachan-Heo/oh-my-claudecode --skill execute -a opencode -y
Windsurf
$ npx skills add Yeachan-Heo/oh-my-claudecode --skill execute -a windsurf -y
name: execute description: Carry an approved task through to working, verified code
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.
Take a task from agreed intent to working code, with evidence that it works.
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.
Match the machinery to the task:
Do not spin up coordination for work that one focused pass would finish.
Before claiming done:
For Codex users: Check out oh-my-codex — the same orchestration experience for OpenAI Codex CLI. Liked OmC but found it a bit overkill? Try gajae-code.
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