[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-nvidia-torch-harmonics-skills":3,"mdc-1pbers-key":34,"related-repo-nvidia-torch-harmonics-skills":147,"related-org-nvidia-torch-harmonics-skills":156},{"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":30,"sourceUrl":21,"mdContent":33},"torch-harmonics-skills","discover torch-harmonics project skills","Index of project-local Claude Code skills for torch-harmonics. Use this to discover which skills are available for this codebase. Individual skills live in the .skills\u002F directory at the project root.\n",{"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},"Engineering","engineering",686,"https:\u002F\u002Fgithub.com\u002FNVIDIA\u002Ftorch-harmonics","2026-07-14T05:32:03.82994",null,69,[26,27,28,29],"machine-learning","pytorch","signal-processing","sphere",{"repoUrl":21,"stars":20,"forks":24,"topics":31,"description":32},[26,27,28,29],"Differentiable signal processing on the sphere for PyTorch","---\nname: torch-harmonics-skills\ndescription: >\n  Index of project-local Claude Code skills for torch-harmonics. Use this to\n  discover which skills are available for this codebase. Individual skills live\n  in the .skills\u002F directory at the project root.\n---\n\n# torch-harmonics skills\n\nProject-local skills live in `.skills\u002F\u003Cskill-name>\u002FSKILL.md`.\n\n## Available skills\n\n| Skill | Trigger | Description |\n|-------|---------|-------------|\n| [test-writing](.skills\u002Ftest-writing\u002FSKILL.md) | Writing or extending tests (serial or distributed), tolerance values, comparing tensors, gradient testing, autocast in tests | Guide for writing numerical tests following torch-harmonics conventions |\n| [disco-kernel-dev](.skills\u002Fdisco-kernel-dev\u002FSKILL.md) | Adding\u002Foptimizing\u002Fdebugging DISCO kernels, wiring dispatch layers, bf16\u002Ffp16 autocast, distributed a2a, test coverage | Expert guide for DISCO convolution kernel development |\n",{"data":35,"body":36},{"name":4,"description":6},{"type":37,"children":38},"root",[39,47,62,69],{"type":40,"tag":41,"props":42,"children":43},"element","h1",{"id":4},[44],{"type":45,"value":46},"text","torch-harmonics skills",{"type":40,"tag":48,"props":49,"children":50},"p",{},[51,53,60],{"type":45,"value":52},"Project-local skills live in ",{"type":40,"tag":54,"props":55,"children":57},"code",{"className":56},[],[58],{"type":45,"value":59},".skills\u002F\u003Cskill-name>\u002FSKILL.md",{"type":45,"value":61},".",{"type":40,"tag":63,"props":64,"children":66},"h2",{"id":65},"available-skills",[67],{"type":45,"value":68},"Available skills",{"type":40,"tag":70,"props":71,"children":72},"table",{},[73,97],{"type":40,"tag":74,"props":75,"children":76},"thead",{},[77],{"type":40,"tag":78,"props":79,"children":80},"tr",{},[81,87,92],{"type":40,"tag":82,"props":83,"children":84},"th",{},[85],{"type":45,"value":86},"Skill",{"type":40,"tag":82,"props":88,"children":89},{},[90],{"type":45,"value":91},"Trigger",{"type":40,"tag":82,"props":93,"children":94},{},[95],{"type":45,"value":96},"Description",{"type":40,"tag":98,"props":99,"children":100},"tbody",{},[101,125],{"type":40,"tag":78,"props":102,"children":103},{},[104,115,120],{"type":40,"tag":105,"props":106,"children":107},"td",{},[108],{"type":40,"tag":109,"props":110,"children":112},"a",{"href":111},".skills\u002Ftest-writing\u002FSKILL.md",[113],{"type":45,"value":114},"test-writing",{"type":40,"tag":105,"props":116,"children":117},{},[118],{"type":45,"value":119},"Writing or extending tests (serial or distributed), tolerance values, comparing tensors, gradient testing, autocast in tests",{"type":40,"tag":105,"props":121,"children":122},{},[123],{"type":45,"value":124},"Guide for writing numerical tests following torch-harmonics conventions",{"type":40,"tag":78,"props":126,"children":127},{},[128,137,142],{"type":40,"tag":105,"props":129,"children":130},{},[131],{"type":40,"tag":109,"props":132,"children":134},{"href":133},".skills\u002Fdisco-kernel-dev\u002FSKILL.md",[135],{"type":45,"value":136},"disco-kernel-dev",{"type":40,"tag":105,"props":138,"children":139},{},[140],{"type":45,"value":141},"Adding\u002Foptimizing\u002Fdebugging DISCO kernels, wiring dispatch layers, bf16\u002Ffp16 autocast, distributed a2a, test coverage",{"type":40,"tag":105,"props":143,"children":144},{},[145],{"type":45,"value":146},"Expert guide for DISCO convolution kernel development",{"items":148,"total":155},[149],{"slug":4,"name":4,"fn":5,"description":6,"org":150,"tags":151,"stars":20,"repoUrl":21,"updatedAt":22},{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[152,153,154],{"name":13,"slug":14,"type":15},{"name":18,"slug":19,"type":15},{"name":9,"slug":8,"type":15},1,{"items":157,"total":313},[158,174,192,203,215,229,242,255,268,279,293,302],{"slug":159,"name":159,"fn":160,"description":161,"org":162,"tags":163,"stars":171,"repoUrl":172,"updatedAt":173},"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},[164,165,168],{"name":13,"slug":14,"type":15},{"name":166,"slug":167,"type":15},"MCP","mcp",{"name":169,"slug":170,"type":15},"Search","search",21777,"https:\u002F\u002Fgithub.com\u002FNVIDIA\u002FNemoClaw","2026-07-20T06:00:01.461044",{"slug":175,"name":175,"fn":176,"description":177,"org":178,"tags":179,"stars":189,"repoUrl":190,"updatedAt":191},"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},[180,183,186],{"name":181,"slug":182,"type":15},"Containers","containers",{"name":184,"slug":185,"type":15},"Deployment","deployment",{"name":187,"slug":188,"type":15},"Python","python",17049,"https:\u002F\u002Fgithub.com\u002FNVIDIA\u002FMegatron-LM","2026-07-27T06:06:11.249662",{"slug":193,"name":193,"fn":194,"description":195,"org":196,"tags":197,"stars":189,"repoUrl":190,"updatedAt":202},"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},[198,201],{"name":199,"slug":200,"type":15},"CI\u002FCD","ci-cd",{"name":184,"slug":185,"type":15},"2026-07-14T05:25:59.97109",{"slug":204,"name":204,"fn":205,"description":206,"org":207,"tags":208,"stars":189,"repoUrl":190,"updatedAt":214},"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},[209,210,211],{"name":199,"slug":200,"type":15},{"name":184,"slug":185,"type":15},{"name":212,"slug":213,"type":15},"GitHub","github","2026-07-27T06:06:12.278222",{"slug":216,"name":216,"fn":217,"description":218,"org":219,"tags":220,"stars":189,"repoUrl":190,"updatedAt":228},"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},[221,224,225],{"name":222,"slug":223,"type":15},"Debugging","debugging",{"name":212,"slug":213,"type":15},{"name":226,"slug":227,"type":15},"Triage","triage","2026-07-14T05:25:57.442089",{"slug":230,"name":230,"fn":231,"description":232,"org":233,"tags":234,"stars":189,"repoUrl":190,"updatedAt":241},"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},[235,238],{"name":236,"slug":237,"type":15},"Best Practices","best-practices",{"name":239,"slug":240,"type":15},"Code Analysis","code-analysis","2026-07-14T05:25:56.18433",{"slug":243,"name":243,"fn":244,"description":245,"org":246,"tags":247,"stars":189,"repoUrl":190,"updatedAt":254},"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},[248,250,253],{"name":249,"slug":26,"type":15},"Machine Learning",{"name":251,"slug":252,"type":15},"Migration","migration",{"name":9,"slug":8,"type":15},"2026-07-17T06:07:11.777011",{"slug":256,"name":256,"fn":257,"description":258,"org":259,"tags":260,"stars":189,"repoUrl":190,"updatedAt":267},"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},[261,264],{"name":262,"slug":263,"type":15},"QA","qa",{"name":265,"slug":266,"type":15},"Testing","testing","2026-07-14T05:25:53.673039",{"slug":269,"name":269,"fn":270,"description":271,"org":272,"tags":273,"stars":189,"repoUrl":190,"updatedAt":278},"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},[274,275],{"name":184,"slug":185,"type":15},{"name":276,"slug":277,"type":15},"Infrastructure","infrastructure","2026-07-14T05:25:49.362534",{"slug":280,"name":280,"fn":281,"description":282,"org":283,"tags":284,"stars":189,"repoUrl":190,"updatedAt":292},"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},[285,288,289],{"name":286,"slug":287,"type":15},"Code Review","code-review",{"name":212,"slug":213,"type":15},{"name":290,"slug":291,"type":15},"Pull Requests","pull-requests","2026-07-14T05:26:01.226578",{"slug":294,"name":294,"fn":295,"description":296,"org":297,"tags":298,"stars":189,"repoUrl":190,"updatedAt":301},"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},[299,300],{"name":262,"slug":263,"type":15},{"name":265,"slug":266,"type":15},"2026-07-14T05:25:54.928983",{"slug":303,"name":303,"fn":304,"description":305,"org":306,"tags":307,"stars":189,"repoUrl":190,"updatedAt":312},"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},[308,311],{"name":309,"slug":310,"type":15},"Automation","automation",{"name":199,"slug":200,"type":15},"2026-07-30T05:29:03.275638",496]