/run

name: run
description: Use to drive one feature from CP2 to CP8 under a coordinator. It proposes the feature's agent graph (shapes, model classes, loop caps, cost estimate), then dispatches every checkpoint as a fresh agent, stopping only at the front and back human gates. Triggers — "/engineer.run <feature>", "run this feature end to end", "drive the feature", "coordinate the pipeline", "build it through to verify".

run

One coordinator per feature, CP2 → CP8. The coordinator is the graph's one model-decided node: it **chooses** the graph (shapes, model class per node, loop caps), records the choice, and then follows fixed edges. Each checkpoint runs as a fresh agent, and the coordinator never reads source code.

Your standing instructions are `${CLAUDE_PLUGIN_ROOT}/references/coordinator.md`. Read it in full before step 1. This file is only the entry point.

When to use

• A Ready feature (CP1.5) that you want driven through the pipeline with only

the front and back gates as human stops.

• A half-done feature: the run resumes from the latest complete checkpoint.

**Not for:**

• Several features at once. Use Decarchy, one coordinator per worktree.
• A single checkpoint. Call that skill directly; every skill still works

standalone, exactly as before.

• An XS feature. The run branches to `/engineer.express` at entry.

Workflow

Execute `coordinator.md` from "The run". In short: resolve the feature (XS goes to `/engineer.express`), propose a graph that `dae_graph.py` accepts, run its segments, stop only at the gates, and compare the actual run with the proposal at the close.

Handoff

The coordinator writes **no checkpoint handoffs**: each node writes its own. At the close (or when a stop rule fires), emit one handoff per `${CLAUDE_PLUGIN_ROOT}/references/handoff-summary.md` with `skill: run`, `checkpoint: null`, `artifacts: [features/NNN-<slug>/run-graph.yml]`, a `findings_summary` of estimate vs actual, and `recommended_next` (the gate waiting, or "done").

References

• `${CLAUDE_PLUGIN_ROOT}/references/coordinator.md`: the standing instructions
• `${CLAUDE_PLUGIN_ROOT}/references/graph-shapes.md`: shape vocabulary, the loop rule, outside evidence
• `${CLAUDE_PLUGIN_ROOT}/references/handoff-dispatch.md`: "Coordinated nodes", the brief template
• `${CLAUDE_PLUGIN_ROOT}/scripts/dae_graph.py`: graph validator