一键导入
simready-content-integration
Plans conversion and validation of CAD, OpenUSD, SimReady assets, Omniverse scenes, Isaac Sim scenarios, and synthetic-data pipelines.
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。
菜单
Plans conversion and validation of CAD, OpenUSD, SimReady assets, Omniverse scenes, Isaac Sim scenarios, and synthetic-data pipelines.
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
Frames the autonomy objective, domain evidence, rights posture, model surface, data gaps, and adaptation path before downstream world-model work begins.
Plans Cosmos-class post-training, SFT, action modelling, checkpoint export, evaluation handoff, and serving readiness.
Plans production deployment, simulator integration, real-system shadowing, observability, incident response, rollback, and ownership.
Defines model evaluation, simulator tests, safety gates, regression suites, promotion evidence, and failure feedback loops.
Maintains governance, provenance, rights, license, privacy, export-control, safety, and audit evidence across the world-model lifecycle.
Selects and governs execution across local GPUs, Brev, OSMO, B200-class Slurm, Megatron, Kubernetes, Ray, and cloud launchers.
| name | simready-content-integration |
| description | Plans conversion and validation of CAD, OpenUSD, SimReady assets, Omniverse scenes, Isaac Sim scenarios, and synthetic-data pipelines. |
| license | Proprietary |
| metadata | {"owner":"Chris von Csefalvay (HCLTech)","version":"1.1.0","tags":["omniverse","simready","openusd","isaac-sim"]} |
Use this skill to turn physical differentiators into simulation-ready assets and scenario evidence for world-model training and evaluation. It owns the decision record for its stage of the data-to-world-model-to-sim2real pipeline and must emit artefacts that downstream agents can validate.
Activate this skill when the request involves any of the following:
Do not use this skill as a generic brainstorming surface. If required records are missing, create the appropriate manifest skeleton and state the missing evidence rather than inventing values.
Run these tools from the repository root with PYTHONPATH=src or through scripts/wmb:
| Tool | Use |
|---|---|
scripts/wmb new-manifest --schema schemas/simready-asset-manifest.schema.json --output <path> | Create the stage manifest contract. |
scripts/wmb validate-manifest --schema schemas/simready-asset-manifest.schema.json --manifest <path> | Validate required fields and basic types. |
scripts/wmb readiness-report --root <manifest-dir> --output <report.md> | Summarise evidence completion across manifests. |
scripts/wmb skill-audit --root . --output artifacts/skill-audit.json | Confirm skill packaging depth before release. |
Skill-local helper:
bash skills/simready-content-integration/scripts/run-checks.sh <manifest-path>
Before making recommendations, identify and record:
If the user has not provided a value, mark it as missing evidence in the output. Do not create identifiers, customer names, dataset names, platform names, job ids, or benchmark values.
schemas/simready-asset-manifest.schema.json.scripts/wmb validate-manifest.Return a concise professional artefact containing:
The output must include:
Do not mark the stage ready unless all applicable gates are satisfied:
schemas/simready-asset-manifest.schema.json.Stop and request review when any of these conditions appear:
Also stop before destructive infrastructure actions, deployment to a real system, model promotion, external publication, or any action involving unapproved customer, medical, regulated, export-controlled, or confidential data.
references/operating-playbook.md for detailed stage procedure.references/output-contract.md for deliverable structure and evidence tables.BENCHMARK.md for evaluation cases and pass criteria.evals/benchmark-cases.json for machine-readable skill evaluation cases.