[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-nvidia-respond-to-issue":3,"mdc-gyufby-key":36,"related-repo-nvidia-respond-to-issue":323,"related-org-nvidia-respond-to-issue":417},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":11,"stars":22,"repoUrl":23,"updatedAt":24,"license":25,"forks":26,"topics":27,"repo":31,"sourceUrl":34,"mdContent":35},"respond-to-issue","draft responses to GitHub issues","Research and draft a response to a GitHub issue or question from an external contributor.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},"nvidia","NVIDIA","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fnvidia.png",[12,16,19],{"name":13,"slug":14,"type":15},"GitHub","github","tag",{"name":17,"slug":18,"type":15},"Writing","writing",{"name":20,"slug":21,"type":15},"Communications","communications",17049,"https:\u002F\u002Fgithub.com\u002FNVIDIA\u002FMegatron-LM","2026-07-14T05:25:48.116153",null,4230,[28,29,30],"large-language-models","model-para","transformers",{"repoUrl":23,"stars":22,"forks":26,"topics":32,"description":33},[28,29,30],"Ongoing research training transformer models at scale","https:\u002F\u002Fgithub.com\u002FNVIDIA\u002FMegatron-LM\u002Ftree\u002FHEAD\u002Fskills\u002Frespond-to-issue","---\nname: respond-to-issue\ndescription: Research and draft a response to a GitHub issue or question from an external contributor.\nwhen_to_use: User shares a GitHub issue URL or asks to respond to a community question; 'respond to this issue', 'draft a reply', 'answer this GitHub question'.\nuser_invocable: true\nargument: \"\u003Cgithub-issue-url-or-number>\"\n---\n\n# Respond to GitHub Issue\n\nHelp a maintainer draft a high-quality response to a GitHub issue from an external contributor.\n\n## Workflow\n\n### 1. Understand the issue\n\n- Fetch the issue using `gh issue view \u003Cnumber> --repo NVIDIA\u002FMegatron-LM --json title,body,comments,labels,state`.\n- Read the title, body, and all existing comments to understand the full context.\n- Identify the type: bug report, feature request, question, or discussion.\n\n### 2. Research the codebase\n\n- Based on what the issue is asking, search the Megatron-LM codebase for the relevant code.\n- Read the relevant source files to understand the current behavior.\n- If the issue references specific files or functions, read those directly.\n- Check `git log --oneline -20 -- \u003Crelevant-files>` to see if there have been recent changes that address or relate to the issue.\n- Use `git log -S \"\u003Csymbol>\" --oneline` to trace when code was added or removed — this is especially useful for questions about unused\u002Fdeprecated code or missing features.\n- If the issue is about a bug, try to confirm whether the reported behavior matches the code.\n- Check whether an existing PR already addresses the issue: `gh pr list --repo NVIDIA\u002FMegatron-LM --search \"\u003Ckeywords>\" --limit 5`.\n\n### 3. Verify before citing\n\nBefore including specific details in the response, verify them:\n- If citing a commit hash, confirm the commit message and diff match what you're claiming (`git show \u003Chash> --stat`).\n- If citing a file path and line number, re-read the file to confirm the line content is correct.\n- If claiming code is unused or missing, do a thorough grep to make sure you haven't missed a reference.\n\n### 4. Draft the response\n\nWrite a response that:\n- Is technically accurate and grounded in the actual code (cite file paths and line numbers where helpful).\n- Is respectful and welcoming to external contributors.\n- Directly addresses the question or concern raised.\n- If the contributor identified a real gap or bug, acknowledge it clearly.\n- If there's a workaround, mention it.\n- If work is planned or a fix would be welcome, say so and suggest next steps (e.g., \"a PR to address this would be welcome\").\n- Keeps the tone professional but friendly.\n- Is concise -- contributors appreciate direct answers, not walls of text.\n\n### 5. Suggest follow-up actions\n\nIf the issue identifies something cleanly actionable (dead code to remove, a small bug fix, a missing feature), tell the maintainer and offer to create a branch and PR to address it — don't just draft a comment.\n\n### 6. Present to the maintainer\n\nShow the drafted response to the user (the maintainer) for review. Do NOT post it to GitHub automatically. The maintainer will decide whether to post it, edit it, or ask for changes.\n\nFormat the draft as a quoted markdown block so it's easy to copy.\n\n## Important guidelines\n\n- Never post comments to GitHub without explicit approval from the user.\n- If you're unsure about the answer, say so clearly in your draft and flag the uncertainty for the maintainer.\n- If the issue is outside the scope of what you can determine from the code, tell the maintainer what you found and what remains unclear.\n- Check whether similar issues exist that might be relevant: `gh issue list --repo NVIDIA\u002FMegatron-LM --search \"\u003Ckeywords>\" --limit 5`.\n",{"data":37,"body":41},{"name":4,"description":6,"when_to_use":38,"user_invocable":39,"argument":40},"User shares a GitHub issue URL or asks to respond to a community question; 'respond to this issue', 'draft a reply', 'answer this GitHub question'.",true,"\u003Cgithub-issue-url-or-number>",{"type":42,"children":43},"root",[44,53,59,66,73,102,108,169,175,180,206,212,217,260,266,271,277,282,287,293],{"type":45,"tag":46,"props":47,"children":49},"element","h1",{"id":48},"respond-to-github-issue",[50],{"type":51,"value":52},"text","Respond to GitHub Issue",{"type":45,"tag":54,"props":55,"children":56},"p",{},[57],{"type":51,"value":58},"Help a maintainer draft a high-quality response to a GitHub issue from an external contributor.",{"type":45,"tag":60,"props":61,"children":63},"h2",{"id":62},"workflow",[64],{"type":51,"value":65},"Workflow",{"type":45,"tag":67,"props":68,"children":70},"h3",{"id":69},"_1-understand-the-issue",[71],{"type":51,"value":72},"1. 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Research the codebase",{"type":45,"tag":74,"props":109,"children":110},{},[111,116,121,126,139,152,157],{"type":45,"tag":78,"props":112,"children":113},{},[114],{"type":51,"value":115},"Based on what the issue is asking, search the Megatron-LM codebase for the relevant code.",{"type":45,"tag":78,"props":117,"children":118},{},[119],{"type":51,"value":120},"Read the relevant source files to understand the current behavior.",{"type":45,"tag":78,"props":122,"children":123},{},[124],{"type":51,"value":125},"If the issue references specific files or functions, read those directly.",{"type":45,"tag":78,"props":127,"children":128},{},[129,131,137],{"type":51,"value":130},"Check ",{"type":45,"tag":84,"props":132,"children":134},{"className":133},[],[135],{"type":51,"value":136},"git log --oneline -20 -- \u003Crelevant-files>",{"type":51,"value":138}," to see if there have been recent changes that address or relate to the issue.",{"type":45,"tag":78,"props":140,"children":141},{},[142,144,150],{"type":51,"value":143},"Use ",{"type":45,"tag":84,"props":145,"children":147},{"className":146},[],[148],{"type":51,"value":149},"git log -S \"\u003Csymbol>\" --oneline",{"type":51,"value":151}," to trace when code was added or removed — this is especially useful for questions about unused\u002Fdeprecated code or missing features.",{"type":45,"tag":78,"props":153,"children":154},{},[155],{"type":51,"value":156},"If the issue is about a bug, try to confirm whether the reported behavior matches the code.",{"type":45,"tag":78,"props":158,"children":159},{},[160,162,168],{"type":51,"value":161},"Check whether an existing PR already addresses the issue: ",{"type":45,"tag":84,"props":163,"children":165},{"className":164},[],[166],{"type":51,"value":167},"gh pr list --repo NVIDIA\u002FMegatron-LM --search \"\u003Ckeywords>\" --limit 5",{"type":51,"value":91},{"type":45,"tag":67,"props":170,"children":172},{"id":171},"_3-verify-before-citing",[173],{"type":51,"value":174},"3. Verify before citing",{"type":45,"tag":54,"props":176,"children":177},{},[178],{"type":51,"value":179},"Before including specific details in the response, verify them:",{"type":45,"tag":74,"props":181,"children":182},{},[183,196,201],{"type":45,"tag":78,"props":184,"children":185},{},[186,188,194],{"type":51,"value":187},"If citing a commit hash, confirm the commit message and diff match what you're claiming (",{"type":45,"tag":84,"props":189,"children":191},{"className":190},[],[192],{"type":51,"value":193},"git show \u003Chash> --stat",{"type":51,"value":195},").",{"type":45,"tag":78,"props":197,"children":198},{},[199],{"type":51,"value":200},"If citing a file path and line number, re-read the file to confirm the line content is correct.",{"type":45,"tag":78,"props":202,"children":203},{},[204],{"type":51,"value":205},"If claiming code is unused or missing, do a thorough grep to make sure you haven't missed a reference.",{"type":45,"tag":67,"props":207,"children":209},{"id":208},"_4-draft-the-response",[210],{"type":51,"value":211},"4. Draft the response",{"type":45,"tag":54,"props":213,"children":214},{},[215],{"type":51,"value":216},"Write a response that:",{"type":45,"tag":74,"props":218,"children":219},{},[220,225,230,235,240,245,250,255],{"type":45,"tag":78,"props":221,"children":222},{},[223],{"type":51,"value":224},"Is technically accurate and grounded in the actual code (cite file paths and line numbers where helpful).",{"type":45,"tag":78,"props":226,"children":227},{},[228],{"type":51,"value":229},"Is respectful and welcoming to external contributors.",{"type":45,"tag":78,"props":231,"children":232},{},[233],{"type":51,"value":234},"Directly addresses the question or concern raised.",{"type":45,"tag":78,"props":236,"children":237},{},[238],{"type":51,"value":239},"If the contributor identified a real gap or bug, acknowledge it clearly.",{"type":45,"tag":78,"props":241,"children":242},{},[243],{"type":51,"value":244},"If there's a workaround, mention it.",{"type":45,"tag":78,"props":246,"children":247},{},[248],{"type":51,"value":249},"If work is planned or a fix would be welcome, say so and suggest next steps (e.g., \"a PR to address this would be welcome\").",{"type":45,"tag":78,"props":251,"children":252},{},[253],{"type":51,"value":254},"Keeps the tone professional but friendly.",{"type":45,"tag":78,"props":256,"children":257},{},[258],{"type":51,"value":259},"Is concise -- contributors appreciate direct answers, not walls of text.",{"type":45,"tag":67,"props":261,"children":263},{"id":262},"_5-suggest-follow-up-actions",[264],{"type":51,"value":265},"5. Suggest follow-up actions",{"type":45,"tag":54,"props":267,"children":268},{},[269],{"type":51,"value":270},"If the issue identifies something cleanly actionable (dead code to remove, a small bug fix, a missing feature), tell the maintainer and offer to create a branch and PR to address it — don't just draft a comment.",{"type":45,"tag":67,"props":272,"children":274},{"id":273},"_6-present-to-the-maintainer",[275],{"type":51,"value":276},"6. Present to the maintainer",{"type":45,"tag":54,"props":278,"children":279},{},[280],{"type":51,"value":281},"Show the drafted response to the user (the maintainer) for review. Do NOT post it to GitHub automatically. The maintainer will decide whether to post it, edit it, or ask for changes.",{"type":45,"tag":54,"props":283,"children":284},{},[285],{"type":51,"value":286},"Format the draft as a quoted markdown block so it's easy to copy.",{"type":45,"tag":60,"props":288,"children":290},{"id":289},"important-guidelines",[291],{"type":51,"value":292},"Important guidelines",{"type":45,"tag":74,"props":294,"children":295},{},[296,301,306,311],{"type":45,"tag":78,"props":297,"children":298},{},[299],{"type":51,"value":300},"Never post comments to GitHub without explicit approval from the user.",{"type":45,"tag":78,"props":302,"children":303},{},[304],{"type":51,"value":305},"If you're unsure about the answer, say so clearly in your draft and flag the uncertainty for the maintainer.",{"type":45,"tag":78,"props":307,"children":308},{},[309],{"type":51,"value":310},"If the issue is outside the scope of what you can determine from the code, tell the maintainer what you found and what remains unclear.",{"type":45,"tag":78,"props":312,"children":313},{},[314,316,322],{"type":51,"value":315},"Check whether similar issues exist that might be relevant: ",{"type":45,"tag":84,"props":317,"children":319},{"className":318},[],[320],{"type":51,"value":321},"gh issue list --repo NVIDIA\u002FMegatron-LM --search \"\u003Ckeywords>\" --limit 5",{"type":51,"value":91},{"items":324,"total":416},[325,341,352,362,376,389,403],{"slug":326,"name":326,"fn":327,"description":328,"org":329,"tags":330,"stars":22,"repoUrl":23,"updatedAt":340},"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},[331,334,337],{"name":332,"slug":333,"type":15},"Containers","containers",{"name":335,"slug":336,"type":15},"Deployment","deployment",{"name":338,"slug":339,"type":15},"Python","python","2026-07-27T06:06:11.249662",{"slug":342,"name":342,"fn":343,"description":344,"org":345,"tags":346,"stars":22,"repoUrl":23,"updatedAt":351},"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},[347,350],{"name":348,"slug":349,"type":15},"CI\u002FCD","ci-cd",{"name":335,"slug":336,"type":15},"2026-07-14T05:25:59.97109",{"slug":353,"name":353,"fn":354,"description":355,"org":356,"tags":357,"stars":22,"repoUrl":23,"updatedAt":361},"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},[358,359,360],{"name":348,"slug":349,"type":15},{"name":335,"slug":336,"type":15},{"name":13,"slug":14,"type":15},"2026-07-27T06:06:12.278222",{"slug":363,"name":363,"fn":364,"description":365,"org":366,"tags":367,"stars":22,"repoUrl":23,"updatedAt":375},"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},[368,371,372],{"name":369,"slug":370,"type":15},"Debugging","debugging",{"name":13,"slug":14,"type":15},{"name":373,"slug":374,"type":15},"Triage","triage","2026-07-14T05:25:57.442089",{"slug":377,"name":377,"fn":378,"description":379,"org":380,"tags":381,"stars":22,"repoUrl":23,"updatedAt":388},"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},[382,385],{"name":383,"slug":384,"type":15},"Best Practices","best-practices",{"name":386,"slug":387,"type":15},"Code Analysis","code-analysis","2026-07-14T05:25:56.18433",{"slug":390,"name":390,"fn":391,"description":392,"org":393,"tags":394,"stars":22,"repoUrl":23,"updatedAt":402},"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},[395,398,401],{"name":396,"slug":397,"type":15},"Machine Learning","machine-learning",{"name":399,"slug":400,"type":15},"Migration","migration",{"name":9,"slug":8,"type":15},"2026-07-17T06:07:11.777011",{"slug":404,"name":404,"fn":405,"description":406,"org":407,"tags":408,"stars":22,"repoUrl":23,"updatedAt":415},"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},[409,412],{"name":410,"slug":411,"type":15},"QA","qa",{"name":413,"slug":414,"type":15},"Testing","testing","2026-07-14T05:25:53.673039",13,{"items":418,"total":521},[419,437,443,448,454,460,465,471,476,487,501,510],{"slug":420,"name":420,"fn":421,"description":422,"org":423,"tags":424,"stars":434,"repoUrl":435,"updatedAt":436},"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},[425,428,431],{"name":426,"slug":427,"type":15},"Documentation","documentation",{"name":429,"slug":430,"type":15},"MCP","mcp",{"name":432,"slug":433,"type":15},"Search","search",21777,"https:\u002F\u002Fgithub.com\u002FNVIDIA\u002FNemoClaw","2026-07-20T06:00:01.461044",{"slug":326,"name":326,"fn":327,"description":328,"org":438,"tags":439,"stars":22,"repoUrl":23,"updatedAt":340},{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[440,441,442],{"name":332,"slug":333,"type":15},{"name":335,"slug":336,"type":15},{"name":338,"slug":339,"type":15},{"slug":342,"name":342,"fn":343,"description":344,"org":444,"tags":445,"stars":22,"repoUrl":23,"updatedAt":351},{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[446,447],{"name":348,"slug":349,"type":15},{"name":335,"slug":336,"type":15},{"slug":353,"name":353,"fn":354,"description":355,"org":449,"tags":450,"stars":22,"repoUrl":23,"updatedAt":361},{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[451,452,453],{"name":348,"slug":349,"type":15},{"name":335,"slug":336,"type":15},{"name":13,"slug":14,"type":15},{"slug":363,"name":363,"fn":364,"description":365,"org":455,"tags":456,"stars":22,"repoUrl":23,"updatedAt":375},{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[457,458,459],{"name":369,"slug":370,"type":15},{"name":13,"slug":14,"type":15},{"name":373,"slug":374,"type":15},{"slug":377,"name":377,"fn":378,"description":379,"org":461,"tags":462,"stars":22,"repoUrl":23,"updatedAt":388},{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[463,464],{"name":383,"slug":384,"type":15},{"name":386,"slug":387,"type":15},{"slug":390,"name":390,"fn":391,"description":392,"org":466,"tags":467,"stars":22,"repoUrl":23,"updatedAt":402},{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[468,469,470],{"name":396,"slug":397,"type":15},{"name":399,"slug":400,"type":15},{"name":9,"slug":8,"type":15},{"slug":404,"name":404,"fn":405,"description":406,"org":472,"tags":473,"stars":22,"repoUrl":23,"updatedAt":415},{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[474,475],{"name":410,"slug":411,"type":15},{"name":413,"slug":414,"type":15},{"slug":477,"name":477,"fn":478,"description":479,"org":480,"tags":481,"stars":22,"repoUrl":23,"updatedAt":486},"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},[482,483],{"name":335,"slug":336,"type":15},{"name":484,"slug":485,"type":15},"Infrastructure","infrastructure","2026-07-14T05:25:49.362534",{"slug":488,"name":488,"fn":489,"description":490,"org":491,"tags":492,"stars":22,"repoUrl":23,"updatedAt":500},"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},[493,496,497],{"name":494,"slug":495,"type":15},"Code Review","code-review",{"name":13,"slug":14,"type":15},{"name":498,"slug":499,"type":15},"Pull Requests","pull-requests","2026-07-14T05:26:01.226578",{"slug":502,"name":502,"fn":503,"description":504,"org":505,"tags":506,"stars":22,"repoUrl":23,"updatedAt":509},"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},[507,508],{"name":410,"slug":411,"type":15},{"name":413,"slug":414,"type":15},"2026-07-14T05:25:54.928983",{"slug":511,"name":511,"fn":512,"description":513,"org":514,"tags":515,"stars":22,"repoUrl":23,"updatedAt":520},"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},[516,519],{"name":517,"slug":518,"type":15},"Automation","automation",{"name":348,"slug":349,"type":15},"2026-07-30T05:29:03.275638",496]