[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-nvidia-nat-path-checks":3,"mdc--or0ayk-key":31,"related-repo-nvidia-nat-path-checks":547,"related-org-nvidia-nat-path-checks":649},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":11,"stars":20,"repoUrl":21,"updatedAt":22,"license":23,"forks":24,"topics":25,"repo":26,"sourceUrl":29,"mdContent":30},"nat-path-checks","fix NeMo Agent Toolkit documentation path errors","Use when fixing NeMo Agent Toolkit documentation path-check failures, especially failed `ci\u002Fscripts\u002Fpath_checks.py` output, slash-delimited text mistaken for paths, relative path references, Markdown code escaping, and path-check allowlist decisions.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},"nvidia","NVIDIA","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fnvidia.png",[12,16,17],{"name":13,"slug":14,"type":15},"Documentation","documentation","tag",{"name":9,"slug":8,"type":15},{"name":18,"slug":19,"type":15},"Debugging","debugging",2491,"https:\u002F\u002Fgithub.com\u002FNVIDIA\u002FNeMo-Agent-Toolkit","2026-07-14T05:31:42.534678","Apache-2.0",704,[],{"repoUrl":21,"stars":20,"forks":24,"topics":27,"description":28},[],"The NVIDIA NeMo Agent toolkit is an open-source library for efficiently connecting and optimizing teams of AI agents.","https:\u002F\u002Fgithub.com\u002FNVIDIA\u002FNeMo-Agent-Toolkit\u002Ftree\u002FHEAD\u002Fskills\u002Fnat-path-checks","---\nname: nat-path-checks\ndescription: Use when fixing NeMo Agent Toolkit documentation path-check failures, especially failed `ci\u002Fscripts\u002Fpath_checks.py` output, slash-delimited text mistaken for paths, relative path references, Markdown code escaping, and path-check allowlist decisions.\nauthor: NVIDIA Corporation and Affiliates\nlicense: Apache-2.0\n---\n\n# NeMo Agent Toolkit Path Checks\n\nUse this skill when CI reports failed path checks from `ci\u002Fscripts\u002Fpath_checks.py`, especially when copied CI output lists entries like:\n\n```text\nFailed path checks:\n- docs\u002Fexample.md:40:10 -> data\u002Ftest1\n```\n\n## Workflow\n\n1. Open each reported file at the exact line before editing.\n2. Classify the reported token by meaning, not just by shape.\n3. Apply the smallest fix that preserves meaning.\n4. Re-run path checks and Markdown link checks on the changed files.\n\n## Fix Decision Table\n\n| Reported token means | Preferred fix | Example |\n| --- | --- | --- |\n| Prose shorthand, not a path | Rewrite in words. Do not hide it in code just to silence CI. | `linux\u002Famd64` -> `linux or amd64`; `pass\u002Ffail` -> `pass or fail` |\n| Two field names or concepts | Name each item separately, usually as code spans if they are literal fields. | `question\u002Fanswer` -> `question` and `answer` |\n| Exact CLI, protocol, API, config, or method literal | Wrap the literal in inline code, or use a fenced code block for multi-line examples. | `tools\u002Flist` -> `tools\u002Flist` |\n| Placeholder path in prose | Wrap the placeholder in inline code. | `path\u002Fto\u002Fworkflow.yml` -> `path\u002Fto\u002Fworkflow.yml` |\n| Placeholder paths in a list or snippet | Use a fenced code block with an appropriate language or `text`. | Put `data\u002Ftest1` and `data\u002Ftest2` inside a fenced block. |\n| Real repo-relative path | Make the path correct relative to the current file, and link it when useful. | `[README](..\u002F..\u002FREADME.md)` |\n| Intended generated output path | Use inline code or a fenced block unless the file should already exist in the repo. | `.\u002Foutput\u002Fresults.json` |\n| Repeated false positive across many docs | Prefer a local wording or escaping fix. Add `ALLOWLISTED_WORDS`, `IGNORED_PATHS`, or `ALLOWLISTED_FILE_PATH_PAIRS` only for true checker limitations. | Add an allowlist only after confirming the token should pass everywhere. |\n\n## Important Distinctions\n\n- If a slash token is not meant to be copied exactly, rewrite it as prose.\n- If a slash token is meant to be copied exactly, put it in Markdown code.\n- If a slash token points to a real file in the repository, fix the target instead of escaping it.\n- If `data\u002Ftest1` is an example input path, use `data\u002Ftest1`. If it is a real checked-in path, link to the real file or correct the path.\n- Do not replace a meaningful relative path with different wording unless the path was never meant to be literal.\n\n## Validation\n\nRun these from the repository root after editing:\n\n```bash\nuv run ci\u002Fscripts\u002Fpath_checks.sh\nuv run pre-commit run markdown-link-check --files path\u002Fto\u002Fchanged.md\n```\n\nIf a copied CI log contains many failures, fix one file at a time and re-run path checks before applying the same pattern broadly.\n",{"data":32,"body":34},{"name":4,"description":6,"author":33,"license":23},"NVIDIA Corporation and Affiliates",{"type":35,"children":36},"root",[37,46,61,73,80,105,111,408,414,457,463,468,536,541],{"type":38,"tag":39,"props":40,"children":42},"element","h1",{"id":41},"nemo-agent-toolkit-path-checks",[43],{"type":44,"value":45},"text","NeMo Agent Toolkit Path Checks",{"type":38,"tag":47,"props":48,"children":49},"p",{},[50,52,59],{"type":44,"value":51},"Use this skill when CI reports failed path checks from ",{"type":38,"tag":53,"props":54,"children":56},"code",{"className":55},[],[57],{"type":44,"value":58},"ci\u002Fscripts\u002Fpath_checks.py",{"type":44,"value":60},", especially when copied CI output lists entries like:",{"type":38,"tag":62,"props":63,"children":68},"pre",{"className":64,"code":66,"language":44,"meta":67},[65],"language-text","Failed path checks:\n- docs\u002Fexample.md:40:10 -> data\u002Ftest1\n","",[69],{"type":38,"tag":53,"props":70,"children":71},{"__ignoreMap":67},[72],{"type":44,"value":66},{"type":38,"tag":74,"props":75,"children":77},"h2",{"id":76},"workflow",[78],{"type":44,"value":79},"Workflow",{"type":38,"tag":81,"props":82,"children":83},"ol",{},[84,90,95,100],{"type":38,"tag":85,"props":86,"children":87},"li",{},[88],{"type":44,"value":89},"Open each reported file at the exact line before editing.",{"type":38,"tag":85,"props":91,"children":92},{},[93],{"type":44,"value":94},"Classify the reported token by meaning, not just by shape.",{"type":38,"tag":85,"props":96,"children":97},{},[98],{"type":44,"value":99},"Apply the smallest fix that preserves meaning.",{"type":38,"tag":85,"props":101,"children":102},{},[103],{"type":44,"value":104},"Re-run path checks and Markdown link checks on the changed files.",{"type":38,"tag":74,"props":106,"children":108},{"id":107},"fix-decision-table",[109],{"type":44,"value":110},"Fix Decision Table",{"type":38,"tag":112,"props":113,"children":114},"table",{},[115,139],{"type":38,"tag":116,"props":117,"children":118},"thead",{},[119],{"type":38,"tag":120,"props":121,"children":122},"tr",{},[123,129,134],{"type":38,"tag":124,"props":125,"children":126},"th",{},[127],{"type":44,"value":128},"Reported token means",{"type":38,"tag":124,"props":130,"children":131},{},[132],{"type":44,"value":133},"Preferred fix",{"type":38,"tag":124,"props":135,"children":136},{},[137],{"type":44,"value":138},"Example",{"type":38,"tag":140,"props":141,"children":142},"tbody",{},[143,189,226,254,282,322,344,366],{"type":38,"tag":120,"props":144,"children":145},{},[146,152,157],{"type":38,"tag":147,"props":148,"children":149},"td",{},[150],{"type":44,"value":151},"Prose shorthand, not a path",{"type":38,"tag":147,"props":153,"children":154},{},[155],{"type":44,"value":156},"Rewrite in words. 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failures, fix one file at a time and re-run path checks before applying the same pattern broadly.",{"type":38,"tag":542,"props":543,"children":544},"style",{},[545],{"type":44,"value":546},"html .light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html.light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: 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sequential, parallel, and sub-agent patterns.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[555,558,559],{"name":556,"slug":557,"type":15},"Agents","agents",{"name":9,"slug":8,"type":15},{"name":560,"slug":561,"type":15},"Orchestration","orchestration","2026-07-14T05:31:37.436571",{"slug":564,"name":564,"fn":565,"description":566,"org":567,"tags":568,"stars":20,"repoUrl":21,"updatedAt":579},"nat-evaluation","run evaluations for NeMo Agent Toolkit","Use when designing, configuring, running, or troubleshooting NeMo Agent Toolkit evaluations, datasets, evaluator selection, ATIF surfaces, quality gates, custom evaluators, and `nat eval`.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[569,572,575,576],{"name":570,"slug":571,"type":15},"Datasets","datasets",{"name":573,"slug":574,"type":15},"Evals","evals",{"name":9,"slug":8,"type":15},{"name":577,"slug":578,"type":15},"Quality 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setup.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[598,599,602,605],{"name":556,"slug":557,"type":15},{"name":600,"slug":601,"type":15},"FastAPI","fastapi",{"name":603,"slug":604,"type":15},"MCP","mcp",{"name":9,"slug":8,"type":15},"2026-07-14T05:31:33.571521",{"slug":608,"name":608,"fn":609,"description":610,"org":611,"tags":612,"stars":20,"repoUrl":21,"updatedAt":621},"nat-optimization","optimize agent workflows with NeMo","Use when configuring or running NeMo Agent Toolkit optimization with `nat optimize`, including Optuna parameter tuning, prompt evolution, optimizer sizing, output interpretation, and optimizer datasets.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[613,614,615,618],{"name":556,"slug":557,"type":15},{"name":9,"slug":8,"type":15},{"name":616,"slug":617,"type":15},"Optimization","optimization",{"name":619,"slug":620,"type":15},"Performance","performance","2026-07-14T05:31:32.290062",{"slug":4,"name":4,"fn":5,"description":6,"org":623,"tags":624,"stars":20,"repoUrl":21,"updatedAt":22},{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[625,626,627],{"name":18,"slug":19,"type":15},{"name":13,"slug":14,"type":15},{"name":9,"slug":8,"type":15},{"slug":629,"name":629,"fn":630,"description":631,"org":632,"tags":633,"stars":20,"repoUrl":21,"updatedAt":647},"nat-telemetry","configure telemetry for NeMo Agent Toolkit","Use when adding, configuring, or troubleshooting NeMo Agent Toolkit logging, tracing, telemetry exporters, OpenTelemetry, Langfuse, LangSmith, Weave, Phoenix, profiling, or observability provider integrations.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[634,637,640,641,644],{"name":635,"slug":636,"type":15},"Langfuse","langfuse",{"name":638,"slug":639,"type":15},"LangSmith","langsmith",{"name":9,"slug":8,"type":15},{"name":642,"slug":643,"type":15},"Observability","observability",{"name":645,"slug":646,"type":15},"OpenTelemetry","opentelemetry","2026-07-14T05:31:41.276077",11,{"items":650,"total":801},[651,665,681,692,704,716,729,743,756,767,781,790],{"slug":652,"name":652,"fn":653,"description":654,"org":655,"tags":656,"stars":662,"repoUrl":663,"updatedAt":664},"nemoclaw-user-guide","retrieve NemoClaw 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},[657,658,659],{"name":13,"slug":14,"type":15},{"name":603,"slug":604,"type":15},{"name":660,"slug":661,"type":15},"Search","search",21777,"https:\u002F\u002Fgithub.com\u002FNVIDIA\u002FNemoClaw","2026-07-20T06:00:01.461044",{"slug":666,"name":666,"fn":667,"description":668,"org":669,"tags":670,"stars":678,"repoUrl":679,"updatedAt":680},"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},[671,674,675],{"name":672,"slug":673,"type":15},"Containers","containers",{"name":588,"slug":589,"type":15},{"name":676,"slug":677,"type":15},"Python","python",17049,"https:\u002F\u002Fgithub.com\u002FNVIDIA\u002FMegatron-LM","2026-07-27T06:06:11.249662",{"slug":682,"name":682,"fn":683,"description":684,"org":685,"tags":686,"stars":678,"repoUrl":679,"updatedAt":691},"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},[687,690],{"name":688,"slug":689,"type":15},"CI\u002FCD","ci-cd",{"name":588,"slug":589,"type":15},"2026-07-14T05:25:59.97109",{"slug":693,"name":693,"fn":694,"description":695,"org":696,"tags":697,"stars":678,"repoUrl":679,"updatedAt":703},"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},[698,699,700],{"name":688,"slug":689,"type":15},{"name":588,"slug":589,"type":15},{"name":701,"slug":702,"type":15},"GitHub","github","2026-07-27T06:06:12.278222",{"slug":705,"name":705,"fn":706,"description":707,"org":708,"tags":709,"stars":678,"repoUrl":679,"updatedAt":715},"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},[710,711,712],{"name":18,"slug":19,"type":15},{"name":701,"slug":702,"type":15},{"name":713,"slug":714,"type":15},"Triage","triage","2026-07-14T05:25:57.442089",{"slug":717,"name":717,"fn":718,"description":719,"org":720,"tags":721,"stars":678,"repoUrl":679,"updatedAt":728},"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},[722,725],{"name":723,"slug":724,"type":15},"Best Practices","best-practices",{"name":726,"slug":727,"type":15},"Code Analysis","code-analysis","2026-07-14T05:25:56.18433",{"slug":730,"name":730,"fn":731,"description":732,"org":733,"tags":734,"stars":678,"repoUrl":679,"updatedAt":742},"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},[735,738,741],{"name":736,"slug":737,"type":15},"Machine Learning","machine-learning",{"name":739,"slug":740,"type":15},"Migration","migration",{"name":9,"slug":8,"type":15},"2026-07-17T06:07:11.777011",{"slug":744,"name":744,"fn":745,"description":746,"org":747,"tags":748,"stars":678,"repoUrl":679,"updatedAt":755},"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},[749,752],{"name":750,"slug":751,"type":15},"QA","qa",{"name":753,"slug":754,"type":15},"Testing","testing","2026-07-14T05:25:53.673039",{"slug":757,"name":757,"fn":758,"description":759,"org":760,"tags":761,"stars":678,"repoUrl":679,"updatedAt":766},"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},[762,763],{"name":588,"slug":589,"type":15},{"name":764,"slug":765,"type":15},"Infrastructure","infrastructure","2026-07-14T05:25:49.362534",{"slug":768,"name":768,"fn":769,"description":770,"org":771,"tags":772,"stars":678,"repoUrl":679,"updatedAt":780},"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},[773,776,777],{"name":774,"slug":775,"type":15},"Code Review","code-review",{"name":701,"slug":702,"type":15},{"name":778,"slug":779,"type":15},"Pull Requests","pull-requests","2026-07-14T05:26:01.226578",{"slug":782,"name":782,"fn":783,"description":784,"org":785,"tags":786,"stars":678,"repoUrl":679,"updatedAt":789},"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},[787,788],{"name":750,"slug":751,"type":15},{"name":753,"slug":754,"type":15},"2026-07-14T05:25:54.928983",{"slug":791,"name":791,"fn":792,"description":793,"org":794,"tags":795,"stars":678,"repoUrl":679,"updatedAt":800},"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},[796,799],{"name":797,"slug":798,"type":15},"Automation","automation",{"name":688,"slug":689,"type":15},"2026-07-30T05:29:03.275638",496]