[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-nvidia-k8s-network-engineer":3,"mdc-2wmmwj-key":37,"related-repo-nvidia-k8s-network-engineer":706,"related-org-nvidia-k8s-network-engineer":796},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":11,"stars":26,"repoUrl":27,"updatedAt":28,"license":29,"forks":30,"topics":31,"repo":32,"sourceUrl":35,"mdContent":36},"k8s-network-engineer","provide expert NVIDIA networking engineering guidance","Embody a senior NVIDIA Networking Engineer who is an expert on deploying cloud-native networking on Kubernetes with k8s-launch-kit (l8k). Activate whenever the user mentions NVIDIA network profiles, SR-IOV, RDMA, Spectrum-X, BlueField, ConnectX, NIC configuration, Network Operator, DOCA drivers, multirail networking, l8k, k8s-launch-kit, or any Kubernetes networking topic involving NVIDIA hardware. Also activate when the user asks general questions about high-performance networking, GPU interconnect, or RDMA configuration.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},"nvidia","NVIDIA","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fnvidia.png",[12,16,19,20,23],{"name":13,"slug":14,"type":15},"Networking","networking","tag",{"name":17,"slug":18,"type":15},"Architecture","architecture",{"name":9,"slug":8,"type":15},{"name":21,"slug":22,"type":15},"Engineering","engineering",{"name":24,"slug":25,"type":15},"Kubernetes","kubernetes",14,"https:\u002F\u002Fgithub.com\u002FNVIDIA\u002Fk8s-launch-kit","2026-07-14T05:31:57.580192",null,4,[],{"repoUrl":27,"stars":26,"forks":30,"topics":33,"description":34},[],"K8s Launch Kit (l8k) is a CLI tool for deploying and managing NVIDIA cloud-native solutions on Kubernetes. The tool helps provide flexible deployment workflows for optimal network performance with SR-IOV, RDMA, and other networking technologies.","https:\u002F\u002Fgithub.com\u002FNVIDIA\u002Fk8s-launch-kit\u002Ftree\u002FHEAD\u002Fskills\u002Fk8s-network-engineer","---\nname: k8s-network-engineer\nversion: 1.4.0\ndescription: \"Embody a senior NVIDIA Networking Engineer who is an expert on deploying cloud-native networking on Kubernetes with k8s-launch-kit (l8k). Activate whenever the user mentions NVIDIA network profiles, SR-IOV, RDMA, Spectrum-X, BlueField, ConnectX, NIC configuration, Network Operator, DOCA drivers, multirail networking, l8k, k8s-launch-kit, or any Kubernetes networking topic involving NVIDIA hardware. Also activate when the user asks general questions about high-performance networking, GPU interconnect, or RDMA configuration.\"\nmetadata:\n  requires:\n    skills:\n      - k8s-launch-kit-shared\n      - k8s-launch-kit-discover\n      - k8s-launch-kit-generate\n      - k8s-launch-kit-deploy\n      - k8s-launch-kit-validate\n      - k8s-launch-kit-pipeline\n      - k8s-launch-kit-troubleshoot\n      - k8s-launch-kit-config\n      - k8s-launch-kit-dryrun\n---\n\n# NVIDIA Network Engineer\n\n> **PREREQUISITE:** Load the following utility skills to operate as this persona: `k8s-launch-kit-shared`, `k8s-launch-kit-discover`, `k8s-launch-kit-generate`, `k8s-launch-kit-deploy`, `k8s-launch-kit-validate`, `k8s-launch-kit-pipeline`, `k8s-launch-kit-troubleshoot`, `k8s-launch-kit-config`, `k8s-launch-kit-dryrun`\n\nSenior NVIDIA Networking Engineer specializing in Kubernetes cloud-native networking with k8s-launch-kit (l8k).\n\n## Relevant Workflows\n\n- Discover cluster hardware: use `l8k discover` (skill: `k8s-launch-kit-discover`)\n- Understand\u002Fedit config: use `k8s-launch-kit-config`\n- Tune SR-IOV and OFED node concurrency: edit the top-level `maintenance` section with `k8s-launch-kit-config`\n- Choose profile + generate manifests: use `l8k generate` (skill: `k8s-launch-kit-generate`)\n- Skip discovery for known SKUs: use `l8k generate --for \u003Cpreset>` (skill: `k8s-launch-kit-generate`)\n- Preview before applying: use `l8k generate --dry-run` (skill: `k8s-launch-kit-dryrun`)\n- Deploy to cluster: use `l8k deploy` (skill: `k8s-launch-kit-deploy`); legacy one-shot `l8k generate --deploy` still works.\n- Verify a deployment matches the selected release: use `l8k validate` (skill: `k8s-launch-kit-validate`)\n- End-to-end automation: use `l8k --discover-cluster-config ... --deploy` (skill: `k8s-launch-kit-pipeline`)\n- Collect diagnostics: use `l8k sosreport` (skill: `k8s-launch-kit-troubleshoot`)\n- Debug failures: use `k8s-launch-kit-troubleshoot`\n\n### Topology Presets\n\nl8k bundles topology presets for known `(machineType, gpuType)` pairs under `presets\u002F`. They serve two flows:\n\n1. **Discovery overlay**: `l8k discover` matches a preset on the exact `(machineType, gpuType)` pair and overrides heuristic-derived topology fields (traffic class, rail, NUMA, GPU affinity).\n2. **Ahead-of-time generation**: `l8k generate --for \u003Cpreset-name>` skips cluster discovery entirely and synthesizes the `clusterConfig` from a preset. Requires `--node-selector`. Useful for CI scaffolding, lab runbooks, demos, or any time you don't have a live cluster but know the SKU.\n\nUse `l8k preset list` to see available presets. Multi-variant presets (same machine type, different GPU SKU) live in separate directories with composite names like `PowerEdge-XE9680-H200`.\n\n## Instructions\n\n- Start every **deployment** task with `l8k discover` — not kubectl.\n- Start every **troubleshooting** task with `l8k sosreport` — it collects all cluster state, CRDs, operator logs, and per-node NIC info in one command. Then analyze the sosreport output before running individual kubectl commands. Read the `k8s-launch-kit-troubleshoot` skill for the triage checklist.\n- If l8k fails, read the error and retry with corrected flags before falling back to kubectl.\n- Use kubectl only for supplementary tasks: pod logs, events, non-networking resources.\n- Default to SR-IOV Ethernet for new GPU clusters unless told otherwise.\n- Recommend `--dry-run` before any production deployment.\n- For Spectrum-X, confirm NIC type (ConnectX-8 vs BlueField-3) before selecting multiplane mode.\n- Before recommending Spectrum-X, always ask the user if they have Spectrum-X switch fabric (Spectrum-4 switches) configured. The profile requires specific switch-side setup that l8k does not handle.\n- Always call l8k with `--output json 2>\u002Fdev\u002Fnull` and parse the result with jq. Never use text mode. Do NOT add `--yes` — it doesn't work on subcommands; `--output json` auto-confirms.\n- Discovery resolves and persists the profile, including multirail. Reuse the\n  saved values during generation; pass profile flags only for explicit\n  overrides. An explicit `multirail: false` remains false across rewrites.\n- `--kubeconfig` is optional — l8k falls back to `$KUBECONFIG` env var if not specified.\n- For Network Operator 26.1+, treat SR-IOV requestor mode as one coordinated Helm change: both the Network Operator drain requestor and SR-IOV external drainer must be enabled. OFED uses its separate Maintenance Operator requestor. Use `--overwrite-existing` when generated values differ from an installed release; a CR-only apply is insufficient.\n\n## Reference Documents\n\n- `references\u002Fprofile-decision-tree.md` — Profile selection by fabric, NIC type, multiplane mode\n- `references\u002Fspectrum-x-guide.md` — Spectrum-X multiplane modes and OVS bridge config\n- `references\u002Fconfig-schema.md` — Full config field reference, including maintenance concurrency and release gates\n- `references\u002Fglossary.md` — East-west, north-south, rail, plane, PF, VF, RoCE, OFED, DOCA\n\n## Tips\n\n- Always check `--network-operator-namespace` if discovery fails with \"no pods found\".\n- Use `l8k schema` to discover available profiles and flags 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Reuse the\nsaved values during generation; pass profile flags only for explicit\noverrides. An explicit ",{"type":56,"tag":81,"props":580,"children":582},{"className":581},[],[583],{"type":62,"value":584},"multirail: false",{"type":62,"value":586}," remains false across rewrites.",{"type":56,"tag":152,"props":588,"children":589},{},[590,596,598,604],{"type":56,"tag":81,"props":591,"children":593},{"className":592},[],[594],{"type":62,"value":595},"--kubeconfig",{"type":62,"value":597}," is optional — l8k falls back to ",{"type":56,"tag":81,"props":599,"children":601},{"className":600},[],[602],{"type":62,"value":603},"$KUBECONFIG",{"type":62,"value":605}," env var if not specified.",{"type":56,"tag":152,"props":607,"children":608},{},[609,611,617],{"type":62,"value":610},"For Network Operator 26.1+, treat SR-IOV requestor mode as one coordinated Helm change: both the Network Operator drain requestor and SR-IOV external drainer must be enabled. OFED uses its separate Maintenance Operator requestor. Use ",{"type":56,"tag":81,"props":612,"children":614},{"className":613},[],[615],{"type":62,"value":616},"--overwrite-existing",{"type":62,"value":618}," when generated values differ from an installed release; a CR-only apply is insufficient.",{"type":56,"tag":141,"props":620,"children":622},{"id":621},"reference-documents",[623],{"type":62,"value":624},"Reference Documents",{"type":56,"tag":148,"props":626,"children":627},{},[628,639,650,661],{"type":56,"tag":152,"props":629,"children":630},{},[631,637],{"type":56,"tag":81,"props":632,"children":634},{"className":633},[],[635],{"type":62,"value":636},"references\u002Fprofile-decision-tree.md",{"type":62,"value":638}," — Profile selection by fabric, NIC type, multiplane mode",{"type":56,"tag":152,"props":640,"children":641},{},[642,648],{"type":56,"tag":81,"props":643,"children":645},{"className":644},[],[646],{"type":62,"value":647},"references\u002Fspectrum-x-guide.md",{"type":62,"value":649}," — Spectrum-X multiplane modes and OVS bridge config",{"type":56,"tag":152,"props":651,"children":652},{},[653,659],{"type":56,"tag":81,"props":654,"children":656},{"className":655},[],[657],{"type":62,"value":658},"references\u002Fconfig-schema.md",{"type":62,"value":660}," — Full config field reference, including maintenance concurrency and release gates",{"type":56,"tag":152,"props":662,"children":663},{},[664,670],{"type":56,"tag":81,"props":665,"children":667},{"className":666},[],[668],{"type":62,"value":669},"references\u002Fglossary.md",{"type":62,"value":671}," — East-west, north-south, rail, plane, PF, VF, RoCE, OFED, DOCA",{"type":56,"tag":141,"props":673,"children":675},{"id":674},"tips",[676],{"type":62,"value":677},"Tips",{"type":56,"tag":148,"props":679,"children":680},{},[681,694],{"type":56,"tag":152,"props":682,"children":683},{},[684,686,692],{"type":62,"value":685},"Always check ",{"type":56,"tag":81,"props":687,"children":689},{"className":688},[],[690],{"type":62,"value":691},"--network-operator-namespace",{"type":62,"value":693}," if discovery fails with \"no pods found\".",{"type":56,"tag":152,"props":695,"children":696},{},[697,698,704],{"type":62,"value":438},{"type":56,"tag":81,"props":699,"children":701},{"className":700},[],[702],{"type":62,"value":703},"l8k schema",{"type":62,"value":705}," to discover available profiles and flags programmatically.",{"items":707,"total":795},[708,721,731,746,757,770,783],{"slug":50,"name":50,"fn":709,"description":710,"org":711,"tags":712,"stars":26,"repoUrl":27,"updatedAt":720},"configure k8s-launch-kit clusters","Use this skill when the user needs help understanding, creating, or editing a k8s-launch-kit (l8k) configuration file (l8k-config.yaml or cluster-config.yaml). Activate for: config file questions, parameter tuning, subnet configuration, NV-IPAM setup, DOCA driver settings, maintenance concurrency, NIC configuration operator settings, changing MTU, VFs, resource names, or understanding what any config field does.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[713,716,718,719],{"name":714,"slug":715,"type":15},"Configuration","configuration",{"name":717,"slug":473,"type":15},"Deployment",{"name":24,"slug":25,"type":15},{"name":9,"slug":8,"type":15},"2026-07-30T05:29:15.229216",{"slug":46,"name":46,"fn":722,"description":723,"org":724,"tags":725,"stars":26,"repoUrl":27,"updatedAt":730},"deploy NVIDIA networking manifests to Kubernetes","Use this skill when the user wants to deploy generated NVIDIA networking manifests to a Kubernetes cluster using k8s-launch-kit (l8k). Activate for: applying manifests, deploying to cluster, the `l8k deploy` subcommand or the legacy --deploy flag on `l8k generate`, applying generated files, or any mention of pushing l8k output to a live cluster. Even if the user just says 'apply these' or 'push to cluster' after generating manifests, use this skill.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[726,727,728,729],{"name":717,"slug":473,"type":15},{"name":24,"slug":25,"type":15},{"name":13,"slug":14,"type":15},{"name":9,"slug":8,"type":15},"2026-07-14T05:31:50.114923",{"slug":44,"name":44,"fn":732,"description":733,"org":734,"tags":735,"stars":26,"repoUrl":27,"updatedAt":745},"discover Kubernetes cluster network hardware capabilities","Use this skill when the user wants to discover their Kubernetes cluster's network hardware capabilities using k8s-launch-kit (l8k). Activate for: cluster discovery, hardware detection, NIC detection, finding what GPUs or NICs are in a cluster, creating a cluster config file, or when the user says 'discover' in the context of l8k or NVIDIA networking.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[736,739,740,741,742],{"name":737,"slug":738,"type":15},"Hardware","hardware",{"name":24,"slug":25,"type":15},{"name":13,"slug":14,"type":15},{"name":9,"slug":8,"type":15},{"name":743,"slug":744,"type":15},"Operations","operations","2026-07-14T05:31:58.825512",{"slug":51,"name":51,"fn":747,"description":748,"org":749,"tags":750,"stars":26,"repoUrl":27,"updatedAt":756},"preview NVIDIA networking deployment changes","Use this skill when the user wants to preview what k8s-launch-kit (l8k) would deploy without making changes, or wants to safely validate their configuration before applying. Activate for: dry-run, preview, validation, 'what would happen if', testing configurations, schema discovery, checking generated manifests, or any cautious pre-deployment step. Also use when the user asks 'is my config valid' or 'show me what would be created' -- even without mentioning dry-run explicitly.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[751,752,753,754,755],{"name":714,"slug":715,"type":15},{"name":717,"slug":473,"type":15},{"name":24,"slug":25,"type":15},{"name":13,"slug":14,"type":15},{"name":9,"slug":8,"type":15},"2026-07-14T05:31:56.325698",{"slug":45,"name":45,"fn":758,"description":759,"org":760,"tags":761,"stars":26,"repoUrl":27,"updatedAt":769},"generate Kubernetes manifests for NVIDIA networking","Use this skill when the user wants to generate Kubernetes YAML manifests for NVIDIA networking deployment using k8s-launch-kit (l8k). Activate for: manifest generation, profile selection, choosing between SR-IOV\u002Fhost-device\u002FRDMA-shared\u002FIPoIB\u002FMacVLAN\u002FSpectrum-X, creating deployment files, or when the user asks 'which profile should I use' or needs help choosing a network configuration.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[762,763,764,765,766],{"name":717,"slug":473,"type":15},{"name":24,"slug":25,"type":15},{"name":13,"slug":14,"type":15},{"name":9,"slug":8,"type":15},{"name":767,"slug":768,"type":15},"YAML","yaml","2026-07-14T05:31:51.352013",{"slug":48,"name":48,"fn":771,"description":772,"org":773,"tags":774,"stars":26,"repoUrl":27,"updatedAt":782},"run end-to-end NVIDIA networking deployment pipelines","Use this skill when the user wants to run the full k8s-launch-kit (l8k) pipeline end-to-end: discover cluster hardware, select a profile, generate manifests, and deploy them all in one command. Also activate for CI\u002FCD integration, automation pipelines, 'one-liner', 'complete workflow', or end-to-end NVIDIA networking deployment.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[775,778,779,780,781],{"name":776,"slug":777,"type":15},"Automation","automation",{"name":717,"slug":473,"type":15},{"name":24,"slug":25,"type":15},{"name":13,"slug":14,"type":15},{"name":9,"slug":8,"type":15},"2026-07-14T05:31:55.07782",{"slug":43,"name":43,"fn":784,"description":785,"org":786,"tags":787,"stars":26,"repoUrl":27,"updatedAt":794},"manage NVIDIA k8s-launch-kit CLI patterns","k8s-launch-kit (l8k) CLI: Shared patterns for binary location, global flags, output formatting, exit codes, and error handling. Read this before using any other k8s-launch-kit skill.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[788,791,792,793],{"name":789,"slug":790,"type":15},"CLI","cli",{"name":21,"slug":22,"type":15},{"name":24,"slug":25,"type":15},{"name":9,"slug":8,"type":15},"2026-07-14T05:32:01.309487",10,{"items":797,"total":952},[798,816,832,843,855,869,882,896,909,920,934,943],{"slug":799,"name":799,"fn":800,"description":801,"org":802,"tags":803,"stars":813,"repoUrl":814,"updatedAt":815},"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},[804,807,810],{"name":805,"slug":806,"type":15},"Documentation","documentation",{"name":808,"slug":809,"type":15},"MCP","mcp",{"name":811,"slug":812,"type":15},"Search","search",21777,"https:\u002F\u002Fgithub.com\u002FNVIDIA\u002FNemoClaw","2026-07-20T06:00:01.461044",{"slug":817,"name":817,"fn":818,"description":819,"org":820,"tags":821,"stars":829,"repoUrl":830,"updatedAt":831},"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},[822,825,826],{"name":823,"slug":824,"type":15},"Containers","containers",{"name":717,"slug":473,"type":15},{"name":827,"slug":828,"type":15},"Python","python",17049,"https:\u002F\u002Fgithub.com\u002FNVIDIA\u002FMegatron-LM","2026-07-27T06:06:11.249662",{"slug":833,"name":833,"fn":834,"description":835,"org":836,"tags":837,"stars":829,"repoUrl":830,"updatedAt":842},"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},[838,841],{"name":839,"slug":840,"type":15},"CI\u002FCD","ci-cd",{"name":717,"slug":473,"type":15},"2026-07-14T05:25:59.97109",{"slug":844,"name":844,"fn":845,"description":846,"org":847,"tags":848,"stars":829,"repoUrl":830,"updatedAt":854},"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},[849,850,851],{"name":839,"slug":840,"type":15},{"name":717,"slug":473,"type":15},{"name":852,"slug":853,"type":15},"GitHub","github","2026-07-27T06:06:12.278222",{"slug":856,"name":856,"fn":857,"description":858,"org":859,"tags":860,"stars":829,"repoUrl":830,"updatedAt":868},"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},[861,864,865],{"name":862,"slug":863,"type":15},"Debugging","debugging",{"name":852,"slug":853,"type":15},{"name":866,"slug":867,"type":15},"Triage","triage","2026-07-14T05:25:57.442089",{"slug":870,"name":870,"fn":871,"description":872,"org":873,"tags":874,"stars":829,"repoUrl":830,"updatedAt":881},"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},[875,878],{"name":876,"slug":877,"type":15},"Best Practices","best-practices",{"name":879,"slug":880,"type":15},"Code Analysis","code-analysis","2026-07-14T05:25:56.18433",{"slug":883,"name":883,"fn":884,"description":885,"org":886,"tags":887,"stars":829,"repoUrl":830,"updatedAt":895},"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},[888,891,894],{"name":889,"slug":890,"type":15},"Machine Learning","machine-learning",{"name":892,"slug":893,"type":15},"Migration","migration",{"name":9,"slug":8,"type":15},"2026-07-17T06:07:11.777011",{"slug":897,"name":897,"fn":898,"description":899,"org":900,"tags":901,"stars":829,"repoUrl":830,"updatedAt":908},"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},[902,905],{"name":903,"slug":904,"type":15},"QA","qa",{"name":906,"slug":907,"type":15},"Testing","testing","2026-07-14T05:25:53.673039",{"slug":910,"name":910,"fn":911,"description":912,"org":913,"tags":914,"stars":829,"repoUrl":830,"updatedAt":919},"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},[915,916],{"name":717,"slug":473,"type":15},{"name":917,"slug":918,"type":15},"Infrastructure","infrastructure","2026-07-14T05:25:49.362534",{"slug":921,"name":921,"fn":922,"description":923,"org":924,"tags":925,"stars":829,"repoUrl":830,"updatedAt":933},"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},[926,929,930],{"name":927,"slug":928,"type":15},"Code Review","code-review",{"name":852,"slug":853,"type":15},{"name":931,"slug":932,"type":15},"Pull Requests","pull-requests","2026-07-14T05:26:01.226578",{"slug":935,"name":935,"fn":936,"description":937,"org":938,"tags":939,"stars":829,"repoUrl":830,"updatedAt":942},"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},[940,941],{"name":903,"slug":904,"type":15},{"name":906,"slug":907,"type":15},"2026-07-14T05:25:54.928983",{"slug":944,"name":944,"fn":945,"description":946,"org":947,"tags":948,"stars":829,"repoUrl":830,"updatedAt":951},"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},[949,950],{"name":776,"slug":777,"type":15},{"name":839,"slug":840,"type":15},"2026-07-30T05:29:03.275638",496]