[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-nvidia-simready-foundation-update-feature-adapter":3,"mdc-nz0lni-key":34,"related-repo-nvidia-simready-foundation-update-feature-adapter":631,"related-org-nvidia-simready-foundation-update-feature-adapter":712},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":11,"stars":23,"repoUrl":24,"updatedAt":25,"license":26,"forks":27,"topics":28,"repo":29,"sourceUrl":32,"mdContent":33},"simready-foundation-update-feature-adapter","update SimReady feature adapters and logic","Use for updating SimReady feature adapters, USD mutation logic, tests, and source\u002Ftarget metadata.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},"nvidia","NVIDIA","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fnvidia.png",[12,14,17,20],{"name":9,"slug":8,"type":13},"tag",{"name":15,"slug":16,"type":13},"Simulation","simulation",{"name":18,"slug":19,"type":13},"Engineering","engineering",{"name":21,"slug":22,"type":13},"Testing","testing",52,"https:\u002F\u002Fgithub.com\u002FNVIDIA\u002Fsimready-foundation","2026-07-14T05:34:20.843058","Apache-2.0",8,[],{"repoUrl":24,"stars":23,"forks":27,"topics":30,"description":31},[],"SimReady Foundation is a central repository for defining simulation content specifications based on various runtime use cases. ","https:\u002F\u002Fgithub.com\u002FNVIDIA\u002Fsimready-foundation\u002Ftree\u002FHEAD\u002Fskills\u002Fsimready-foundation-update-feature-adapter","---\nname: simready-foundation-update-feature-adapter\ndescription: \"Use for updating SimReady feature adapters, USD mutation logic, tests, and source\u002Ftarget metadata.\"\nlicense: Apache-2.0\nmetadata:\n  author: \"Shaad Boochoon \u003Csboochoon@nvidia.com>\"\n  tags:\n    - simready\n    - adapter\n    - maintenance\n---\n\n\n# SimReady Update Feature Adapter\n\n## Purpose\nUse this skill when an existing feature adapter no longer matches source\u002Ftarget feature contracts, produces invalid USD, misses a required mutation, or needs new profile-version support.\n\n## Prerequisites\nBefore editing, read:\n\n- `AGENTS.md`\n- `nv_core\u002Fsr_specs\u002Fdocs\u002Fguides\u002Ffeature_adapters\u002Ffeature_adapters.md`\n- target adapter file\n- source and target feature manifests\n- source and target profile versions\n- existing adapter tests or validation reports\n\n## Inputs\n\nCollect or infer:\n\n| Input | Requirement |\n|---|---|\n| `adapter_path` | Existing adapter file. |\n| `source_feature` | Input feature ID\u002Fversion currently supported. |\n| `target_feature` | Output feature ID\u002Fversion currently supported. |\n| `bug_or_gap` | Missing mutation, bad metadata, invalid output, non-idempotence, crash, or profile drift. |\n| `new_feature_versions` | Updated feature versions if the adapter should support a new path. |\n| `test_assets` | Assets or reports that show the problem. |\n\n## Instructions\n\nUse this checklist when changing the repository:\n\n1. Compare adapter metadata with actual source\u002Ftarget manifests and profile versions.\n2. Reproduce or inspect the failed upgrade when possible.\n3. Determine whether to update the existing adapter or add a new adapter for a new exact version path. Prefer adding a new path when published source\u002Ftarget versions must keep their old behavior.\n4. Patch transformation logic narrowly:\n   - preserve unrelated data\n   - keep output deterministic\n   - avoid source-stage mutation\n   - save output stage correctly\n5. Update metadata only when the supported feature path changes.\n6. Update tests or manual validation instructions to cover the corrected path.\n7. Update profile migration notes if adapter behavior affects profile upgrades.\n8. Confirm every changed feature difference in the profile transformation still has a direct adapter path or documented blocker.\n9. Validate source-to-target behavior against the relevant feature\u002Fprofile requirements when tooling is available.\n\n## Examples\n\nExample request:\n\n```text\nUpdate a SimReady feature adapter for a new exact source and target feature version.\n```\n\nExpected result summary:\n\n```text\nchanged_files: updated docs, manifests, indexes, validators, or adapters\nvalidation: focused checks for the changed contract\nremaining_gaps: downstream feature, profile, adapter, or runtime-test follow-up\n```\n\n## Policies\n\n- Do not change an adapter to target a different feature version without preserving the old upgrade path when it is still published.\n- Prefer adding a new adapter for new feature versions over mutating old behavior.\n- Do not add broad catch-all mutation logic that could damage assets outside the adapter contract.\n- If a required mutation needs user intent, report a blocked adapter path.\n\n## Limitations\n\n- Do not silently change published contracts; add versions when behavior changes.\n- Do not update docs without checking validator, manifest, profile, adapter, and runtime-test impact.\n- Do not broaden a change beyond the selected requirement, capability, feature, profile, validator, or adapter.\n\n## Troubleshooting\n\n- Error: the requested change alters a published contract. Solution: create a new version and preserve the old artifact.\n- Error: docs and machine-readable manifests diverge. Solution: make the JSON\u002FTOML and markdown agree, then rerun focused checks.\n- Error: downstream profile or adapter impact is unclear. Solution: list the affected artifacts before making broad edits.\n\n## Resources\n\n- `assets\u002Fopenai.yaml` preserves optional UI metadata for clients that read skill display hints. 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documentation and configuration","Guides human users' AI agents to the NemoClaw docs MCP server and canonical Fern documentation in Markdown form. Use when users ask how to install, configure, operate, troubleshoot, secure, or learn NemoClaw with an AI coding assistant. Trigger keywords - nemoclaw docs, use nemoclaw with ai agent, nemoclaw mcp docs, nemoclaw install help, nemoclaw quickstart, nemoclaw markdown docs, llms.txt, agent skills.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[720,721,724],{"name":640,"slug":641,"type":13},{"name":722,"slug":723,"type":13},"MCP","mcp",{"name":725,"slug":726,"type":13},"Search","search",21777,"https:\u002F\u002Fgithub.com\u002FNVIDIA\u002FNemoClaw","2026-07-20T06:00:01.461044",{"slug":731,"name":731,"fn":732,"description":733,"org":734,"tags":735,"stars":745,"repoUrl":746,"updatedAt":747},"mcore-build-and-dependency","manage Megatron-LM development environments","Container-based dev environment setup and dependency management for Megatron-LM. Covers acquiring and launching the CI container, uv package management, and updating uv.lock.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[736,739,742],{"name":737,"slug":738,"type":13},"Containers","containers",{"name":740,"slug":741,"type":13},"Deployment","deployment",{"name":743,"slug":744,"type":13},"Python","python",17049,"https:\u002F\u002Fgithub.com\u002FNVIDIA\u002FMegatron-LM","2026-07-27T06:06:11.249662",{"slug":749,"name":749,"fn":750,"description":751,"org":752,"tags":753,"stars":745,"repoUrl":746,"updatedAt":758},"mcore-bump-base-image","update NVIDIA PyTorch base images","Bump the NVIDIA PyTorch base image (`nvcr.io\u002Fnvidia\u002Fpytorch:YY.MM-py3`) used by Megatron-LM CI. Covers the two pin sites (GitHub CI in `docker\u002F.ngc_version.dev` and GitLab CI in `.gitlab\u002Fstages\u002F01.build.yml`), the post-bump CI loop (re-run functional tests, refresh golden values, mark broken tests), and the gotchas that bit PRs",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[754,757],{"name":755,"slug":756,"type":13},"CI\u002FCD","ci-cd",{"name":740,"slug":741,"type":13},"2026-07-14T05:25:59.97109",{"slug":760,"name":760,"fn":761,"description":762,"org":763,"tags":764,"stars":745,"repoUrl":746,"updatedAt":770},"mcore-cicd","manage CI\u002FCD pipelines for Megatron-LM","CI\u002FCD reference for Megatron-LM. Covers CI pipeline structure, PR scope labels, triggering internal GitLab CI (which force-pushes the current branch to a pull-request\u002FBRANCH ref — always dry-run and verify the destination first; never run against shared or protected branches), and CI failure investigation.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[765,766,767],{"name":755,"slug":756,"type":13},{"name":740,"slug":741,"type":13},{"name":768,"slug":769,"type":13},"GitHub","github","2026-07-27T06:06:12.278222",{"slug":772,"name":772,"fn":773,"description":774,"org":775,"tags":776,"stars":745,"repoUrl":746,"updatedAt":784},"mcore-create-issue","investigate CI failures and create issues","Investigate a failing GitHub Actions run or job and create a GitHub issue for the failure.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[777,780,781],{"name":778,"slug":779,"type":13},"Debugging","debugging",{"name":768,"slug":769,"type":13},{"name":782,"slug":783,"type":13},"Triage","triage","2026-07-14T05:25:57.442089",{"slug":786,"name":786,"fn":787,"description":788,"org":789,"tags":790,"stars":745,"repoUrl":746,"updatedAt":797},"mcore-linting-and-formatting","lint and format Megatron-LM code","Linting and formatting for Megatron-LM. Covers running autoformat.sh, tools (ruff, black, isort, pylint, mypy), and code style rules.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[791,794],{"name":792,"slug":793,"type":13},"Best Practices","best-practices",{"name":795,"slug":796,"type":13},"Code Analysis","code-analysis","2026-07-14T05:25:56.18433",{"slug":799,"name":799,"fn":800,"description":801,"org":802,"tags":803,"stars":745,"repoUrl":746,"updatedAt":811},"mcore-migrate-gpt-to-hybrid","migrate Megatron-LM models to HybridModel","Migration guide for moving Megatron Core GPTModel checkpoints, model providers, training commands, and layer mappings to HybridModel.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[804,807,810],{"name":805,"slug":806,"type":13},"Machine Learning","machine-learning",{"name":808,"slug":809,"type":13},"Migration","migration",{"name":9,"slug":8,"type":13},"2026-07-17T06:07:11.777011",{"slug":813,"name":813,"fn":814,"description":815,"org":816,"tags":817,"stars":745,"repoUrl":746,"updatedAt":822},"mcore-onboard-gb200-1node-tests","onboard functional tests for GB200","Onboard 1-node GitHub MR functional tests for GB200 from existing mr-scoped 2-node tests.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[818,821],{"name":819,"slug":820,"type":13},"QA","qa",{"name":21,"slug":22,"type":13},"2026-07-14T05:25:53.673039",{"slug":824,"name":824,"fn":825,"description":826,"org":827,"tags":828,"stars":745,"repoUrl":746,"updatedAt":833},"mcore-run-on-slurm","launch distributed training jobs on SLURM","How to launch distributed Megatron-LM training jobs on a SLURM cluster. Covers a minimal sbatch skeleton, environment-variable setup for torch.distributed.run, CUDA_DEVICE_MAX_CONNECTIONS rules across hardware and parallelism modes, container conventions, monitoring, and per-rank failure diagnosis.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[829,830],{"name":740,"slug":741,"type":13},{"name":831,"slug":832,"type":13},"Infrastructure","infrastructure","2026-07-14T05:25:49.362534",{"slug":835,"name":835,"fn":836,"description":837,"org":838,"tags":839,"stars":745,"repoUrl":746,"updatedAt":847},"mcore-split-pr","split pull requests to reduce review load","Split a PR into multiple PRs to reduce the number of required CODEOWNERS reviewer groups.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[840,843,844],{"name":841,"slug":842,"type":13},"Code Review","code-review",{"name":768,"slug":769,"type":13},{"name":845,"slug":846,"type":13},"Pull Requests","pull-requests","2026-07-14T05:26:01.226578",{"slug":849,"name":849,"fn":850,"description":851,"org":852,"tags":853,"stars":745,"repoUrl":746,"updatedAt":856},"mcore-testing","run and manage Megatron-LM tests","Test system for Megatron-LM. Covers test layout, recipe YAML structure, adding and running unit and functional tests, golden values, marker filters, and CI parity.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[854,855],{"name":819,"slug":820,"type":13},{"name":21,"slug":22,"type":13},"2026-07-14T05:25:54.928983",{"slug":858,"name":858,"fn":859,"description":860,"org":861,"tags":862,"stars":745,"repoUrl":746,"updatedAt":867},"nightly-sync","manage nightly main-to-dev sync workflows","Domain knowledge for the nightly main-to-dev sync workflow. Covers merge strategy, CI architecture, failure investigation, and known issues.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[863,866],{"name":864,"slug":865,"type":13},"Automation","automation",{"name":755,"slug":756,"type":13},"2026-07-30T05:29:03.275638",496]