oh-my-opencode/packages/omo-codex/plugin/skills/ulw-loop/SKILL.md

name, description, metadata

name	description	metadata
ulw-loop	Goal-like loop that uses ultrawork mode to decompose work into systematic, evidence-bound steps.	short-description Goal-like ultrawork loop for systematic decomposition

ulw-loop

Use this skill when the user asks for ulw-loop, ulw, durable goal execution, evidence-led work, manual QA, or checkpointed long-running delivery.

This Codex skill is intentionally compact to avoid adding a large operating manual to an already-full conversation. The full workflow lives in references/full-workflow.md. Read only the sections needed for the current phase, then execute them exactly.

Required First Steps

1. Open references/full-workflow.md.
2. Read through Bootstrap, Execution Loop, and the Manual-QA channels table before running any ULW command or recording evidence.
3. If the task has code edits, tests, QA, or commit work, follow the full workflow's delegation and evidence rules. Tests alone never prove done.

Non-Negotiables

• Use the ulw-loop CLI state under .omo/ulw-loop; do not hand-edit goal state.
• Every success criterion needs observable evidence from a real channel: tmux, HTTP, browser, or computer-use.
• Record evidence through the CLI only after cleanup receipts are available.
• Delegate code edits, test writes, fixes, and QA execution to right-sized Codex subagents when the workflow requires it.
• Avoid list_agents as a status poll in large runs; track spawned names locally and use wait_agent, targeted followups, and close_agent.

Codex Tool Mapping

The full workflow may mention OpenCode-style orchestration examples. In Codex, translate them to native tools:

Workflow intent	Codex tool
Plan agent	spawn_agent(agent_type="plan", ...)
Search/read-only worker	spawn_agent(agent_type="explorer", ...)
Implementation or QA worker	spawn_agent(agent_type="worker", ...)
Final verification reviewer	spawn_agent(agent_type="codex-ultrawork-reviewer", ...)
Wait for background result	wait_agent(...)
Clean up finished worker	close_agent(...)

When translating load_skills=[...], include the requested skill names in the spawned agent's message.