simready-foundation-add-feature-adapter
This skill adds feature adapters that transform USD assets between specific SimReady feature or profile versions.
Identity proven by GitHub's verified organisation badge (NVIDIA, NVIDIA-NeMo)
- Agents
- Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode, claude.ai and API
- License
- Apache-2.0 (permissive)
- Pin
- 60b8bddpinned Oct 9, 2026
- Context cost
- about 1,200 tokenswhen the skill loads
- GitHub stars
- 95on nvidia/simready-foundation
- Scripts
- None found
What it does
“Use for adding SimReady feature adapters that mutate USD assets between exact feature or profile versions.”
Generated summary from the skill's own text
This skill adds feature adapters that transform USD assets between specific SimReady feature or profile versions. It handles creating Python adapter files with USD mutations that move assets from a source feature contract to a target one, including manifest comparison, implementation, testing, and documentation updates.
When to use it
- Bridging known differences between exact SimReady feature versions
- Implementing profile upgrade paths that require USD mutations
- Creating deterministic asset transformations with validated input and output
When not to
- When target requirements are already satisfied by source assets
- When changes are documentation-only with no USD mutation needed
- When source or target feature versions are undefined or ambiguous
Install
These commands install from the publisher's repository and need no account.
skills CLI
npx skills add nvidia/simready-foundation --skill simready-foundation-add-feature-adapterInstalls from the repository's default branch, which may have changed since the commit we checked.
GitHub CLI 2.90 or later
gh skill install nvidia/simready-foundation simready-foundation-add-feature-adapter@60b8bddb086f43c8cc394f50635b4e65b0ec36fdInstalls the commit we checked (60b8bdd).
Copy by hand
Download the folder at 60b8bdd and put it in .claude/skills/simready-foundation-add-feature-adapter for Claude Code and in .agents/skills/simready-foundation-add-feature-adapter for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode.
Claude Code plugin
/plugin install nvidia-skills@claude-plugins-officialThe publisher's plugin in Claude's official marketplace. It may hold more than this skill, and we have not pinned it.
Copy for your agent
A prompt for any coding agent. It installs this skill from GitHub at the pinned commit, copies the files as they are, and runs nothing unless you ask.
Prompt
Install the agent skill "simready-foundation-add-feature-adapter" by NVIDIA. Source, pinned to commit 60b8bddb086f43c8cc394f50635b4e65b0ec36fd: https://github.com/nvidia/simready-foundation/tree/60b8bddb086f43c8cc394f50635b4e65b0ec36fd/skills/simready-foundation-add-feature-adapter 1. Download that folder at exactly this commit. Do not use the default branch. 2. Copy every file unchanged, keeping the folder structure, into .claude/skills/simready-foundation-add-feature-adapter/ for Claude Code and .agents/skills/simready-foundation-add-feature-adapter/ for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode. Create the folders if they do not exist. 3. Do not edit the files, and do not run any script in the folder unless I ask you to. 4. When you are done, list the files you copied and where you put them. Listing and checks: https://www.agentnative.dev/skills/nvidia/simready-foundation-add-feature-adapter
SKILL.md at the pin
---
name: simready-foundation-add-feature-adapter
description: "Use for adding SimReady feature adapters that mutate USD assets between exact feature or profile versions."
license: Apache-2.0
metadata:
author: "Shaad Boochoon <sboochoon@nvidia.com>"
tags:
- simready
- adapter
- usd
---
# SimReady Add Feature Adapter
## Purpose
Use this skill to add a direct asset mutation path between exact `FET_###_<RUNTIME>` feature names with integer feature versions, or between profile feature bundles. Feature adapters live under `nv_core/cip_specs/asset_handler_modules/` and modify an output USD stage so an asset can move from an input feature/profile contract to a target one.
Use this after feature/profile differences are known. If no USD mutation is needed, document that no adapter is required.
## Prerequisites
Before editing, read:
- `AGENTS.md`
- `nv_core/sr_specs/docs/guides/feature_adapters/feature_adapters.md`
- source and target feature manifests
- source and target profile versions, if this is profile-driven
- existing adapters in the relevant asset handler module
## Inputs
Collect or infer:
| Input | Requirement |
|---|---|
| `input_feature_name` | Source feature name / manifest `id`, such as `FET_003_STANDARD`. |
| `input_feature_version` | Source integer feature version. |
| `output_feature_name` | Target feature name / manifest `id`, such as `FET_003_PHYSX`. |
| `output_feature_version` | Target integer feature version. |
| `profile_path` | Optional source/target profile upgrade path. |
| `mutation` | Exact USD data changes required. |
| `module_path` | Asset handler module directory. |
| `test_assets` | Assets that pass input and should pass output after mutation. |
## Instructions
Use this checklist when changing the repository:
1. Compare source and target manifests. Confirm names use `FET_###_<RUNTIME>` and versions are exact integers, then identify only the requirements that differ.
2. Decide whether a direct adapter is necessary. For profile transformations, every feature difference must have a direct adapter path or a documented blocker. If target requirements are documentation-only or already satisfied by source assets, document no-op behavior.
3. Choose or create the asset handler module path.
4. Add a Python adapter file with `@feature_adapter` metadata using exact feature names and integer versions.
5. Implement `modify_stage(input_stage, output_stage)`:
- read source stage only when needed
- mutate output stage deterministically
- preserve unrelated authored data
- save output stage when complete
6. Use native USD schemas and existing helper patterns from neighboring adapters.
7. Add focused tests or manual validation notes:
- input validates against source feature/profile
- output validates against target feature/profile
- mutation is idempotent or safely repeatable where practical
8. Update adapter indexes, imports, or registration files if the repo requires them.
9. If the adapter is needed for a new profile version, update the profile docs or migration notes.
## Examples
Example request:
```text
Add a feature adapter that mutates assets from one exact SimReady feature/profile version to another.
```
Expected result summary:
```text
changed_files: new docs, manifests, indexes, or validation scaffolding
validation: focused static checks and any relevant docs/build checks
remaining_gaps: requirement, validator, adapter, profile, or runtime-test follow-up
```
## Policies
- Do not use adapters to hide invalid source assets; adapters should bridge defined feature differences.
- Do not mutate source stages in place.
- Do not invent property values that need user intent or prediction unless the adapter contract explicitly defines defaults.
- Keep profile upgrade paths direct: every changed feature needs a clear adapter path or a documented blocker.
## Limitations
- Do not mutate published feature or profile versions in place.
- Do not invent requirement IDs or validator behavior when the contract is ambiguous; record the question.
- Do not skip index, manifest, validation, or downstream follow-up notes.
## Troubleshooting
- Error: the new concept overlaps an existing artifact. Solution: update the existing capability, requirement, feature, profile, or adapter instead.
- Error: names or IDs conflict. Solution: re-check naming conventions and nearby indexes before editing further.
- Error: validation strategy is unclear. Solution: document deferred validation and the exact follow-up skill.
## Resources
- `assets/openai.yaml` preserves optional UI metadata for clients that read skill display hints. It is not required for the workflow.
## Summary Format
Report:
| Field | Meaning |
|---|---|
| `adapter_name` | Adapter identifier. |
| `adapter_path` | Python file path. |
| `input_feature` | Source feature name and integer version. |
| `output_feature` | Target feature name and integer version. |
| `mutation_summary` | USD opinions changed. |
| `profile_upgrade` | Profile path supported, if any. |
| `validation` | Tests/assets run and remaining gaps. |
From nvidia/simready-foundation at 60b8bdd, shown as plain text under its license: Apache-2.0 (permissive). The license text is in skills/simready-foundation-add-feature-adapter/SKILL.md.
View SKILL.md on GitHub at 60b8bddFiles
- SKILL.md5.1 KB · 6512c1747b51
- assets/
- openai.yaml423 B · 271466f654fe
- evals/
- evals.json1.6 KB · 84e90c05e6f8
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