A goal-like loop that decomposes work into systematic, evidence-bound ultrawork steps. Use when the user wants a goal loop or durable, checkpointed execution.
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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 skill is intentionally compact. The full workflow lives in references/full-workflow.md. Read only the sections needed for the current phase, then execute them exactly.
references/full-workflow.md.references/define-goal.md and register the run's goal by it. Goal creation is NEVER skipped: shape the objective and every success criterion by that reference before any implementation..omo/ulw-loop; do not hand-edit goal state.references/define-goal.md (omo-agent-toolkit ulw-loop create-goals, then create_goal from the printed handoff), and mirror every atomic step into the live update_plan checklist: one ultra-granular step per action, exactly one in_progress, transitions marked the instant they happen.omo-agent-toolkit ulw-loop status --json, then resume; never re-plan from scratch.--session-id <id> (the printed handoff and resume directive carry it; CODEX_THREAD_ID in the environment also resolves it). The CLI refuses unscoped state (ULW_LOOP_SESSION_SCOPE_REQUIRED) instead of touching the shared .omo/ulw-loop root.omo-agent-toolkit ulw-loop create-goals says this session's aggregate is already complete, start unrelated new work with a fresh --session-id <new-id> (passed on every later call) instead of steering or forcing the completed state. Use --force only to intentionally overwrite completed evidence.git rev-parse --short "HEAD^{tree}"); it goes stale only when tracked content changes — a rebase or amend that keeps the tree identical keeps it valid. When the tree differs, re-run at the current HEAD and re-record, never relabel or regenerate. Record only after cleanup receipts exist.spawn_agent message starts with TASK:, then names DELIVERABLE, SCOPE, and VERIFY; put role and specialty instructions inside message; use fork_turns: "none" (v1: fork_context: false) unless full history is truly required.wait_agent calls, back off — double the timeout up to ~5 minutes — instead of spinning short cycles.WORKING: <task> - <current phase> before long reading, testing, or review passes, and BLOCKED: <reason> only when it cannot progress.wait_agent for mailbox signals, not proof of completion. A timeout only means no new mailbox update arrived. Treat a running child as alive.WORKING: phase.followup_task, explicitly BLOCKED:, or no longer running. Then record inconclusive and respawn a smaller fork_turns: "none" task with the missing deliverable.git-master for git-tracked edits: inspect recent and touched-path commit history, then commit each verified work unit atomically in the repository's observed language, scope, and message style with only that unit's files staged. Never carry verified units into a later omnibus commit.Solo execution with parallel background task workers is the default. A team (team_create) adds per-member briefing, shared-state, and relay overhead, so it must be paid for by the work's shape. Decide ONCE, when the plan's work units are known, and record the verdict plus its reason in the notepad.
Stand up a team when BOTH hold:
When the units are genuinely independent — separate files, no shared contract — spawn parallel background task workers instead and avoid the team coordination overhead entirely. When the work is one cohesive unit, do it yourself. Overlap alone is not enough: near-identical units that would collide on the same lines are faster done in sequence by one worker.
Under team mode, isolate and land per unit:
Codex exposes ONE subagent surface per session — check your tool list. GPT-5.6 (sol/terra) get the flat MultiAgentV2 tools (primary); GPT-5.5 and gpt-5.6-luna get the namespaced multi_agent_v1.* set (fallback row). The workflow's orchestration examples map to:
| Intent | MultiAgentV2 (gpt-5.6 sol/terra) |
|---|---|
| Spawn a worker | spawn_agent({"task_name":"<lower_snake_id>","message":"TASK: act as <role>. ...","fork_turns":"none"}) — task_name+message required; fork_turns:"none" = no parent history; do NOT set agent_type/model/reasoning_effort |
| Re-task an idle worker (wakes it) | followup_task({"target":"<name>","message":"..."}) |
| Send context without interrupting | send_message({"target":"<name>","message":"..."}) |
| Wait for a mailbox signal | wait_agent({"timeout_ms":<ms>}) — any live worker; a timeout only means no new update |
| Enumerate / stop a runaway | list_agents() / interrupt_agent({"target":"<name>"}) — no close_agent; finished workers end on their own |
V1 fallback (gpt-5.5, gpt-5.6-luna): multi_agent_v1.spawn_agent({...,"fork_context":false}), multi_agent_v1.send_input (re-task), multi_agent_v1.wait_agent({"targets":[...],"timeout_ms":...}), multi_agent_v1.close_agent.
When translating load_skills=[...], include the requested skill names in the spawned agent's message.
The Codex thread goal is a DRIVER the loop instructs, never a gate. checkpoint takes an OPTIONAL --codex-goal-json snapshot, records it verbatim in the ledger, and never rejects on its status or objective; the advice arrives in nextActions. A driver completed early yields advice to create_goal again with the plan's objective verbatim; paused, usage_limited, and budget_limited yield resume advice; a differing objective is a warning, not a refusal. Malformed snapshot input is the only failure, reported as ULW_LOOP_CODEX_GOAL_JSON_INVALID.