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isaac-lab
Use when working on Isaac Lab RL simulation, deployment, SkyPilot workflows, or customer custom-fork support.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Use when working on Isaac Lab RL simulation, deployment, SkyPilot workflows, or customer custom-fork support.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Use when ingesting, validating, curating, or querying production sensor data as a versioned dataset-of-record, or wiring the dataset-ingest-curate workflow.
Use when generating adversarial scenarios via RL, ranking mined failures of a policy-under-test, or wiring the adversarial-scenario-hardening workflow.
Use when navigating the Cosmos3 integration in NPA or locating upstream Cosmos3 framework files, defaults, scripts, configs, recipes, and docs.
Use when Cosmos3 setup, fetch, inference, CUDA, uv, Docker, Hugging Face, GitHub, NGC, or checkpoint staging fails in NPA or in an upstream Cosmos framework checkout.
Use when setting up Cosmos3 access through NPA, checking source or Hugging Face reachability, staging the public Cosmos3 framework and checkpoint cache, or deciding which NPA workflow to use before inference.
Use for Claude Code reviews that need robotics, simulation, GPU-routing, sim-to-real, or BDD100K pipeline domain context.
| name | isaac-lab |
| description | Use when working on Isaac Lab RL simulation, deployment, SkyPilot workflows, or customer custom-fork support. |
Isaac Lab is the RL simulation framework. It requires RT cores: use L40S or RTX Pro 6000 only. It will not run correctly on H100 or H200 because those GPUs do not provide RT cores.
Training must invoke headless mode. Verify training commands do not trigger rendering paths.
API:
POST /trainPOST /evalGET /statusGET /system-infoGET /listCLI:
npa workbench isaac-lab deploy
npa workbench isaac-lab train
npa workbench isaac-lab eval
npa workbench isaac-lab status
npa workbench isaac-lab system-info
npa workbench isaac-lab list
Canonical onboarding starts at docs/workbench/getting-started.md; do not
duplicate credential, S3, Kubernetes, registry, or SkyPilot bootstrap setup here.
Customers can bring their own Isaac Lab fork through an image_id override in the SkyPilot YAML. The workbench provides a validated base container; the customer layers their fork on top.
The replacement image must preserve the expected Isaac Lab entry point or runner contract.
Cookbook: docs/workbench/cookbooks/byof-isaac-lab/README.md.
Validated BYOF surfaces:
npa/scripts/run_isaac_lab_rl.py --image
(w10-byof-image-only-20260520T232650Z);run: block variant passed with
--yaml, invoking /opt/byof/custom_train.py
(w10-byof-image-and-cmd-20260520T233113Z).The runner exposes --image directly. It does not expose a --run-cmd flag, so
custom entrypoints should use a customer-owned YAML variant that preserves the
runtime contract, checkpoint discovery, manifest creation, and S3 upload block.
Isaac Lab is also the default sim engine for the Sim2Real loop's non-VLM held-out rollout eval. The held-out eval is backend-pluggable:
sim_backend=isaac (default): the held-out rollout runs headless Isaac Sim
inside the Isaac Lab image as the eval component Job. It uses the Isaac Lab
manipulation task (Isaac-Lift-Cube-Franka-v0 by default) for a Franka
pick/lift rollout.sim_backend=genesis: the existing Genesis FrankaPickPlaceEnv path, kept
fully intact.Select with --sim-backend, env NPA_SIM2REAL_SIM_BACKEND, or the runbook
YAML. Both backends emit the identical npa.sim2real.heldout_eval.v1 per-env
schema (env_id/score/success/details), so report.json and the
outer-loop gate are backend-agnostic. The VLM eval (Cosmos-Reason) is unchanged.
Asset handling mirrors the Genesis no-fallback provenance discipline:
asset_source=isaac_stock (no sha256).isaaclab.sim.converters.MeshConverter / UrdfConverter),
recorded as asset_source=byo_mesh with a sha256. A mesh that fails to
import or load raises; there is no silent fallback to the stock asset.The Isaac Lab image bakes no npa code, and Isaac Sim is only importable via
its bundled interpreter /isaac-sim/python.sh. The eval component injects
branch npa code into that interpreter at start from an S3 source tarball
(NPA_SIM2REAL_SOURCE_TARBALL_URI) or, when the repo is reachable, a git clone
(NPA_SOURCE_REPO/NPA_SOURCE_REF), and ensures boto3 for the S3 client.
Architecture + licensing rationale: docs/architecture/sim-backend-selection.md.
Managed VM deploy defaults to in-place updates for existing aliases. Terraform
plans that would destroy or replace critical infrastructure are blocked unless
the operator passes --replace and confirms with --yes for automation.
npa/src/npa/workflows/skypilot/isaac-lab-rl-train.yaml.npa/src/npa/workflows/skypilot/isaac-lab-rl-sweep.yaml.npa/scripts/run_isaac_lab_rl.py.E2E is pending the training command fix tracked by W9-isaac-lab-e2e-fix.