ulw-loop

# 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 skill is compact by design: the run contract below is the whole bootstrap. `references/full-workflow.md` and `references/define-goal.md` carry the full doctrine; open a section only when the phase you are in needs it. ## Run contract 1. Create goals from a JS eval cell: `agentToolkit.createGoals({ brief })` after the SDK import below. The SDK binds this session from the host env, so never pass a session id or a plan path. If the envelope reports `ULW_LOOP_PLAN_EXISTS_COMPLETE` (this session's aggregate is already complete), unrelated new work needs a fresh session; `createGoals({ brief, force: true })` is only for deliberately overwriting completed evidence. 2. Register the aggregate objective from the returned handoff with `create_goal`, shaped by `references/define-goal.md`. Goal creation is NEVER skipped. 3. Mirror every atomic step into the live `todo` checklist: one granular step per action, exactly one in_progress, transitions marked the instant they happen. 4. Treat each goal as a phase: create its own worktree off the integration base; dispatch its dependency-ordered lanes as ONE `workflow` run (read the mass-ulw skill first; ordering-free lanes stay a `task` batch); verify every criterion with real-surface evidence; land the worktree on the integration base at `agentToolkit.checkpoint({ goalId, statu...