workbench-reference-workflows git:20260813.a1cc4eaA

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---
name: workbench-reference-workflows
description: Use when working on NPA reference workflow specs, runner scripts, cookbooks, customer-adaptable pipeline implementations, or the guarded examples that are not workflow authoring surfaces.
---

# Workbench Reference Workflows

> The supported, customer-facing catalog and source of truth is the `npa.workflow` spec set under
> `npa/workflows/workbench/npa-workflows/`. The old raw SkyPilot task catalog has
> no remaining templates. Raw SkyPilot YAMLs may still exist only as guarded
> tool-specific examples or resource profiles, not as workflow authoring
> surfaces. SkyPilot remains the engine that executes rendered specs.

## When To Use

Use this skill for repository workflow YAMLs, runner scripts, cookbooks,
artifact contracts, and customer-adaptable pipeline implementations.

## Procedure

1. Start from the closest checked-in `npa.workflow` spec under
   `npa/workflows/workbench/npa-workflows/`.
2. Reuse a toolRef from
   `npa/src/npa/orchestration/npa_workflow/catalog.py`; add missing behavior to
   the workbench tool rather than implementing it again in a runner.
3. Keep the runner thin. Python runners materialize config, call the workflow
   submission helper, and report artifacts; the spec owns the stage graph.
4. Keep all input and output paths configurable and run-scoped through S3.
   Stages run in separate pods and cannot depend on a repository-relative path.
5. Declare the output the tool actually writes. Extend
   `test_spec_declared_outputs.py` when a tool exposes a result-URI helper.
6. Run `validate-spec`, then `plan-spec --run-id preview`, before live submit.
   Register every shipped spec in `SUBMIT_LIVE_MATRIX`.

## Current Reference YAMLs

The retired catalog path is machine-checked by
`npa/tests/guardrails/test_skypilot_catalog_retirement.py`, so a raw template
cannot quietly reappear there.

No raw SkyPilot templates remain in the retired catalog. Author workflow examples
as `npa.workflow/v0.0.1` specs under
`npa/workflows/workbench/npa-workflows/`.

## Retired Templates

These raw templates were retired once their `npa.workflow` spec had a live run
(run ids in `EVIDENCE.md`). Use the spec under
`npa/workflows/workbench/npa-workflows/`:

- `isaac-lab-rl-sweep.yaml` — parallel GPU sweep (`--runtime`).
- `cosmos3-reason.yaml` — Cosmos3 reason-stage manifest.
- `sonic-export.yaml`, `sonic-eval.yaml`, `sonic-export-eval.yaml` — SONIC
  export/eval. The tools now accept `s3://` inputs and outputs directly, which is
  what the templates' inline download/upload bash used to do.
- `token-factory-caption.yaml`, `token-factory-generate.yaml`,
  `token-factory-cosmos-reason.yaml` — hosted Token Factory stages.
- `mjlab-eval.yaml` — MJLab locomotion evaluation.
- `retargeting.yaml` — motion retargeting. The harness synthesizes a SOMA-CSV clip
  (`npa.workflows.motion_fixture`) when no real motion set is staged.
- `vlm-eval.yaml`, `vlm-eval-benchmark.yaml` — self-hosted VLM scoring and the labeled
  sweep. The renderer now starts and health-checks the vLLM server the spec asks for, so
  no prebuilt serving image is needed.
- `cosmos3-text-to-image-inference.yaml` — retired to
  `npa-workflows/cosmos3-text-to-image.yaml`. The procedure it carried as bash inside an `envs:`
  block is now `npa workbench cosmos3 text-to-image`.
- `bdd100k-pipeline.yaml` — retired to `npa-workflows/bdd100k-pipeline.yaml`. A live run needs
  both in-cluster services (`lancedb` and `detection-training`) deployed first.
- `dataset-ingest-curate.yaml` — retired to `npa-workflows/dataset-ingest-curate.yaml`, whose
  `register` stage reads back what `ingest` wrote to the in-cluster LanceDB service
  (`npa workbench lancedb deploy --runtime kubernetes --namespace workbench`).
- `sim-to-real-pipeline.yaml` / `sim-to-real-trigger.yaml` — retired. The pipeline ran the
  deprecated `npa.workflows.sim_to_real real-loop`; the maintained path and the
  watcher's submit target are the single staged-engine YAML,
  `npa/workflows/workbench/npa-workflows/sim2real.yaml`.
- `cosmos2-transfer.yaml` — retired to `npa-workflows/cosmos2-transfer.yaml`, which runs the
  REAL Cosmos-Transfer2.5 model (`--execute`) instead of printing a `contract_ready` payload.
- `isaac-franka-capture-reason.yaml` — retired to
  `npa-workflows/isaac-franka-capture-reason.yaml`. The capture code moved into the package
  (`npa.workflows.isaac_capture`), so the stage no longer needs a repo mounted into the pod.
- `sim2real-actions.yaml` — retired into `npa-workflows/sim2real-envgen-shards.yaml` as its
  fourth stage, which conditions the train slice the `split` stage just wrote.
- `tokenfactory-scene-to-rollout-judge.yaml` — hosted reasoner, GPU rollout, hosted judge. Its
  twin keeps the chain: `vlm-eval run --task-from` reads the reasoner's artifact, so the judge
  scores the rollout against the plan rather than a literal string.
- `tokenfactory-rollout-judge.yaml` — GPU rollout then a hosted VLM judge. Its twin is
  `npa-workflows/tokenfactory-rollout-judge-combo.yaml`; note the older same-named spec is a
  *different* workflow (a Cosmos reasoner feeding a judge over externally-seeded rollouts).
- `tokenfactory-train-triage.yaml` — GPU LeRobot training then a hosted triage report. Its twin
  `npa-workflows/tokenfactory-train-triage.yaml` trains in the stage's own pod (the renderer
  switches to the vendor image's interpreter) and triages with
  `npa.workflows.token_factory_triage`. Needs a SkyPilot-hostable LeRobot image; 0.5.1 ships a
  torch/torchcodec ABI mismatch, 0.6.0 does not.
- `cosmos3-ea-fetch.yaml` — Cosmos source/checkpoint fetch. Its twin
  `npa-workflows/cosmos-fetch.yaml` is the two CLI commands the template wrapped in ~60 lines
  of setup bash; the renderer installs `huggingface_hub[cli]`, which was the only load-bearing
  line of that preamble.
- `cosmos3-generate.yaml` — Cosmos 3 omni-model generation in the `npa-cosmos3`
  image. Its twin `npa-workflows/cosmos3-generate.yaml` ran through the live
  submit matrix and produced `generated/generate.json` plus a non-flat 960x960
  `generated/vision.jpg`.
- `nurec-reconstruct.yaml` — **relocated**, not retired: #234 deliberately
  shipped and live-verified a single-pod NuRec/NRE SkyPilot task in addition to
  the multi-pod `npa.workflow` spec. It now lives at
  `npa/src/npa/workbench/nurec/examples/` with its own README and guardrail.
- `sim2real-envgen-split.yaml` — raw env generation + 80/20 split. Its twin
  `npa-workflows/sim2real-envgen-shards.yaml` declares the shard fan-out as a `parallel:`
  group instead of relying on a Kubernetes Job completion index, and runs on CPU.
- `scenario-gen-adversarial.yaml` — adversarial scenario mining. Its twin
  `npa-workflows/scenario-gen-smoke.yaml` runs the same two CLI commands; the template's GPU
  image advertised an RL adversary the CLI cannot select.
- `sim-to-real-loop.yaml` — the rollout-SET loop. Retired via a new tool capability
  (`npa workbench vlm-eval loop`), because nothing else produced
  `task_success_report.json`; the spec is `npa-workflows/vlm-eval-loop.yaml`.
- `isaac-lab-cosmos-sdg-burst-smoke.yaml` — **relocated**, not retired: a single-task input to
  `npa burst submit-yaml`, now at `npa/src/npa/burst/examples/`. Burst is scoped to one
  executable task, so there is no plan or stage graph for a spec to describe.
- `isaac-lab-rl-train-rtxpro.yaml`, `isaac-lab-rl-train-rtxpro-smoke.yaml`,
  `isaac-lab-rl-train.yaml`, `byof-datagen-rtxpro-smoke.yaml`,
  `byof-container-smoke-rtxpro.yaml` — **relocated**, not retired: they are BYOF
  *resource profiles* (a pod shape), not workflows, and now live beside their
  runner at `npa/src/npa/workflows/byof/profiles/`.

The retired catalog is pinned empty in
`npa/tests/guardrails/test_skypilot_catalog_retirement.py`; do not add new raw
workflow templates.

## Three-Tier Contract

- CLI: use `npa workbench workflow ...` and tool-specific workflow commands
  such as `npa workbench mjlab workflow` or `npa workbench retargeting workflow`.
- SDK: route through shared workflow submission helpers rather than shelling out
  from business logic.
- Workflow: the `npa.workflow` spec is the executable source of truth for stage
  order, resources, configuration, and artifact paths. ToolRef argv templates
  are the source of truth for commands; SkyPilot is the rendered execution
  layer.

## Gotchas

- Customer-provided raw SkyPilot `envs` does not support self-referencing
  interpolation; repository specs use resolved `config` tokens.
- `sky jobs launch` has no dry-run flag. Use `workflow submit --plan-only` for a
  rendered spec preflight.
- Keep SONIC locomotion orchestration in its spec; do not add a Python runner
  that re-implements the graph.

## Verify

```bash
npa/.venv/bin/python -m pytest npa/tests/guardrails/test_skills_index.py -q
```

The smoke test parses the listed workflow YAMLs and invokes workflow CLI help.