[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-nvidia-jetson-customize-uphy":3,"mdc--mmk8s-key":31,"related-repo-nvidia-jetson-customize-uphy":1184,"related-org-nvidia-jetson-customize-uphy":1290},{"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},"jetson-customize-uphy","configure Jetson UPHY lane allocation","Configure Jetson UPHY lane allocation (uphy0\u002Fuphy1-config) on Orin\u002FThor custom carriers. Do NOT use for pinmux or PCIe-only edits.",{"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},"Architecture","architecture","tag",{"name":17,"slug":18,"type":15},"Hardware","hardware",{"name":9,"slug":8,"type":15},2473,"https:\u002F\u002Fgithub.com\u002FNVIDIA\u002Fskills","2026-07-14T05:29:39.425178","Apache-2.0",281,[],{"repoUrl":21,"stars":20,"forks":24,"topics":27,"description":28},[],"AI agent skills published by NVIDIA","https:\u002F\u002Fgithub.com\u002FNVIDIA\u002Fskills\u002Ftree\u002FHEAD\u002Fskills\u002Fjetson-customize-uphy","---\nname: jetson-customize-uphy\ndescription: Configure Jetson UPHY lane allocation (uphy0\u002Fuphy1-config) on Orin\u002FThor custom carriers. Do NOT use for pinmux or PCIe-only edits.\nversion: 0.0.2\nlicense: \"Apache-2.0\"\nmetadata:\n  data-classification: public\n  author: \"Jetson Team\"\n  tags:\n    - bsp\n    - phase-2\n    - io\n    - uphy\n  domain: meta\n---\n\n# Customize UPHY lane allocation\n\n## Purpose\n\nSelect a UPHY lane allocation on a Jetson custom carrier and edit the\ncarrier flash-conf fork's `ODMDATA=\"...\"` to apply the chosen\n`uphyX-config-N` token(s) (plus the `UPHY_CONFIG=\"\"` clear required for\n`uphy0-config-6`). Kernel-DT alignment per controller is **not** done\nhere — after the ODMDATA commit lands, this skill dispatches to the\nper-controller skills (`\u002Fjetson-customize-pcie`,\n`\u002Fjetson-customize-mgbe`, `\u002Fjetson-customize-usb`), each of which must\ncompare the chosen allocation against the **reference kernel DTB**\nnode-by-node and emit an overlay fragment only when the K-stock value\ndisagrees with the chosen allocation. Discovery is agentic: options,\nlanes, and controllers come from the Adaptation Guide, carrier\nschematic, and Module \u002F SoC TRM at run time — never hard-coded. Every\nuser-visible step renders its data as a markdown table, and the final\nsummary includes a changes-summary table.\n\n## Prerequisites\n\n- Active target-platform profile with `reference_devkit:` and\n  `custom_carrier:`.\n- `\u003Csource.root_path>\u002FLinux_for_Tegra\u002F.git` initialized\n  (`\u002Fjetson-init-source`).\n- Forked carrier conf present (`\u002Fjetson-derive-carrier`).\n- Reachable Adaptation Guide via `documents.adaptation_guide` ->\n  `documents.bsp_developer_guide` -> web fetch -> Step-1 prompt\n  fallback.\n- **When `custom_carrier:` is present, both\n  `documents.custom_carrier_schematic` AND\n  `documents.custom_carrier_pinmux_xls` are REQUIRED.** The skill\n  refuses to run if either is missing — routing decisions for the\n  custom carrier cannot be guessed. Reference-devkit-only profiles\n  (no `custom_carrier:` block) do not require these.\n\n## Overview\n\nUPHY (unified PHY) is the shared high-speed PHY pool on Tegra264 (Thor)\nand Tegra234 (Orin). Lane allocation is selected by `ODMDATA` tokens\n(`uphy0-config-N`, Thor also `uphy1-config-N`) parsed at flash time by\n`tegraflash_impl_t264.py::tegraflash_update_bpmp_dtb()` and written\ninto `\u002Fuphy\u002Fuphy{0,1}-config` of the BPMP DTB.\n\nOutput is a **single atomic ODMDATA commit** in\n`\u003Csource.root_path>\u002FLinux_for_Tegra\u002F` carrying the chosen\n`uphyX-config-N` token(s), the `UPHY_CONFIG=\"\"` clear (for\n`uphy0-config-6`), AND every per-controller ODMDATA token derived\nfrom the chosen allocation (`pcie@N_status=*`, `mgbeN-speed-*`, USB SS\nper-port tokens). Sub-skills (`\u002Fjetson-customize-pcie`,\n`\u002Fjetson-customize-mgbe`, `\u002Fjetson-customize-usb`) own only the\nkernel-DT overlay fragments — they MUST NOT touch ODMDATA. All\ncommits follow the batched pristine + customization pattern in\n`..\u002F..\u002Fcontext\u002Fbsp-customization-workflow.md`. Upstream BSP at\n`\u003Cbsp_image.root_path>\u002F` is never edited.\n\n## When to invoke\n\n- User says \"configure UPHY\", \"uphy lane allocation\",\n  \"set uphy0-config-N\", \"change MGBE speed\", or asks to remap\n  PCIe \u002F MGBE \u002F USB3 \u002F UFS on a custom carrier.\n- A UPHY-fed controller doesn't enumerate after flash, OR cold boot\n  dies in BL31 SError \u002F `BPMP firmware is not ready`.\n- A downstream skill reports FMON fault or BPMP-DTB lane mismatch.\n\n## Procedure (summary)\n\nEight steps; full detail in `references\u002Fprocedure.md`.\n\n1. **Resolve target + docs.** Refuse without active profile, custom\n   carrier, source-tree git, or forked carrier conf. Resolve Adaptation\n   Guide \u002F schematic \u002F Module Design Guide \u002F SoC TRM.\n2. **Locate \"Configure the UPHY Lane\"** in the Adaptation Guide (PDF \u002F\n   HTML mirror \u002F `WebFetch`). Cross-check Module Design Guide + SoC TRM.\n3. **Cross-reference the carrier schematic.** Cite UPHY net names\n   (`MGBE2_TX_P\u002FN`, `PEX5_LN0+-`, etc.). Zero matching nets = unrouted.\n4. **Enumerate matching UPHY options.** Surface every documented\n   `uphy0-config-N` (and Thor `uphy1-config-N`) index.\n5. **Ask the user which config (HARD GATE).** Print tables first, then\n   `AskUserQuestion` — one per UPHY surface, plus carrier-routing\n   confirmation if any allocated lane is unrouted. Persist answers to\n   the JSON sidecar (`references\u002Frun-state-sidecar.md`).\n6. **Edit carrier flash-conf fork (atomic ODMDATA commit).** This skill\n   owns every ODMDATA token for the run. One `ODMDATA=\"...\"` line, one\n   commit, all tokens. Sub-skills MUST NOT touch ODMDATA.\n\n   Decompile the BPMP DTB at\n   `\u003Cbsp_image.root_path>\u002FLinux_for_Tegra\u002Fbootloader\u002Fgeneric\u002F\u003CBPFDTB_FILE>`\n   (`BPFDTB_FILE` from the carrier conf) to snapshot stock state, then\n   emit tokens in this order:\n\n   a. **UPHY surface tokens** — every chosen `uphyX-config-N` (Thor:\n      both surfaces, even if one equals the guide default). Order\n      `uphy0` then `uphy1`; separator `,`.\n   b. **Per-controller tokens** — one per row whose plan-state differs\n      from BPMP-stock. Match-rows get no token (redundant tokens can\n      drop the whole line).\n      - PCIe: `pcie@N_status=okay|disabled`.\n      - MGBE: `mgbeN-speed-\u003Crate>` on allocate, **`mgbeN-speed-del`**\n        on disable. FMON arms on the controller's own clocks\n        regardless of UPHY allocation — missing `del` ⇒ BL31 SError\n        reboot loop. Single most common post-flash failure on Thor.\n      - USB SS: per-port tokens when the SoC grammar exposes them.\n   c. **`UPHY_CONFIG=\"\"` clear** when `uphy0-config-6` is selected\n      (BCT pinmux clear per Adaptation Guide).\n7. **Build the per-controller allocation table and dispatch.** Derive\n   one row per UPHY-fed controller (PCIe \u002F MGBE \u002F USB SS \u002F UFS) with\n   `{class, instance, allocated?, BPMP-stock, K-stock, routed?,\n   Desired K state}`. This table drives both (a) Step 6's ODMDATA\n   tokens and (b) the sub-skills' overlay fragments — build it\n   before Step 6 commits.\n\n   Then invoke `\u002Fjetson-customize-pcie`, `\u002Fjetson-customize-mgbe`, and\n   `\u002Fjetson-customize-usb` for **kernel-DT overlay fragments only**\n   (no ODMDATA edits — Step 6 owns the line). Each sub-skill re-reads\n   K-stock from\n   `\u003Cbsp_image.root_path>\u002FLinux_for_Tegra\u002Fkernel\u002Fdtb\u002Ftegra\u003Csoc>-*-nv.dtb`\n   and skips emission when K-stock matches Desired K state. UFS\n   handling stays inline here (no UFS sub-skill).\n\n   Invoke all three whenever their controller class is present on\n   this SoC (e.g. skip MGBE on Orin). Ask the operator first; on\n   `yes`, run the sub-skill inline.\n8. **Summary + next-step chain.** Headline, breakdown, **choices table**\n   (UPHY surface | chosen config | lane summary | UPHY_CONFIG-clear),\n   **changes-summary table** (file | repo | commit SHA | one-line\n   summary covering this skill's commit + every dispatched sub-skill's\n   commit), then drive the downstream chain (more I\u002FO? build & promote?\n   flash? validate?) via sequential `AskUserQuestion` prompts per\n   `references\u002Fprocedure.md` Step 8. Never substitute a printed\n   \"Next step: …\" line for the prompts.\n\n## Limitations\n\n- Only supports Tegra234 (Orin) and Tegra264 (Thor) UPHY surfaces.\n- Does not edit pinmux, PCIe-only DT properties absent from BPMP DTB\n  (`num-lanes`, `pcie-mode`), or upstream BSP files.\n- Does not flash, build, or promote — chain into `\u002Fjetson-build-source`\n  and downstream skills.\n- Hard-coded option tables are forbidden; if no Adaptation Guide\n  source resolves the skill refuses rather than guessing.\n- Not table-driven across releases: every run re-reads the Guide for\n  the active BSP version.\n\n## Troubleshooting\n\n- **Cold boot reboot loop \u002F BL31 `plat_setup.c:726` \u002F `BPMP firmware\n  is not ready`** after `uphy0-config-6`: a later\n  `^UPHY_CONFIG=` line in the carrier conf re-overrode the clear.\n  Comment it (see `references\u002Fprocedure.md` Step 6).\n- **`wait-for-device failed` at flash, BPMP DTB unchanged**: an\n  ODMDATA token had wrong shape (e.g. `mgbe0-speed-0`). One bad token\n  drops the whole `ODMDATA=\"...\"` line. Inspect grammar in\n  `references\u002Fprocedure.md`.\n- **BL31 SError reboot loop after disabling an MGBE**: missing\n  `mgbeN-speed-del`. FMON arms on the controller's own clocks\n  regardless of UPHY allocation.\n- **Newly-routed controller doesn't enumerate**: stock kernel DTB had\n  `status=\"disabled\"`. Overlay must emit `status=\"okay\"` (matrix\n  row 4 in `references\u002Fprocedure.md`).\n- **Pinmap delta=0 but board still misbehaves**: UPHY differential\n  pairs are absent from pinmux `.xlsm`. Drive decisions off schematic\n  net names, not the pinmap.\n- **Duplicate `pcie@\u003Caddr>` fragments**: another skill\n  (`jetson-customize-pcie`) already owns that node. Scope this skill\n  to MGBE \u002F UFS \u002F USB3 SS \u002F PCIe-status-only and cite the other\n  overlay.\n\n## References\n\n- `references\u002Fprocedure.md` — full eight-step procedure.\n- `references\u002Fgotchas.md` — cross-cutting gotchas.\n- `references\u002Frun-state-sidecar.md` — JSON sidecar schema + idempotency.\n- `..\u002F..\u002Freferences\u002Fplatform_template.yaml` — `documents:` schema.\n- `..\u002F..\u002Fcontext\u002Fbsp-customization-workflow.md` — overlay edit protocol.\n- `..\u002F..\u002Freferences\u002Fbsp-customization-kernel-dtb.md` — composite-overlay\n  filename \u002F append protocol.\n- `..\u002Fjetson-derive-carrier\u002FSKILL.md` — produces the conf this skill\n  edits.\n- `..\u002Fjetson-init-source\u002FSKILL.md` — produces the two git repos this\n  skill commits into.\n- `..\u002Fjetson-generate-kb\u002FSKILL.md` — KB consulted for chip family +\n  file locations.\n",{"data":32,"body":43},{"name":4,"description":6,"version":33,"license":23,"metadata":34},"0.0.2",{"data-classification":35,"author":36,"tags":37,"domain":42},"public","Jetson Team",[38,39,40,41],"bsp","phase-2","io","uphy","meta",{"type":44,"children":45},"root",[46,55,62,140,146,264,270,315,406,412,437,443,455,830,836,887,893,1071,1077],{"type":47,"tag":48,"props":49,"children":51},"element","h1",{"id":50},"customize-uphy-lane-allocation",[52],{"type":53,"value":54},"text","Customize UPHY lane allocation",{"type":47,"tag":56,"props":57,"children":59},"h2",{"id":58},"purpose",[60],{"type":53,"value":61},"Purpose",{"type":47,"tag":63,"props":64,"children":65},"p",{},[66,68,75,77,83,85,91,93,99,101,107,109,115,117,123,125,131,133,138],{"type":53,"value":67},"Select a UPHY lane allocation on a Jetson custom carrier and edit the\ncarrier flash-conf fork's ",{"type":47,"tag":69,"props":70,"children":72},"code",{"className":71},[],[73],{"type":53,"value":74},"ODMDATA=\"...\"",{"type":53,"value":76}," to apply the chosen\n",{"type":47,"tag":69,"props":78,"children":80},{"className":79},[],[81],{"type":53,"value":82},"uphyX-config-N",{"type":53,"value":84}," token(s) (plus the ",{"type":47,"tag":69,"props":86,"children":88},{"className":87},[],[89],{"type":53,"value":90},"UPHY_CONFIG=\"\"",{"type":53,"value":92}," clear required for\n",{"type":47,"tag":69,"props":94,"children":96},{"className":95},[],[97],{"type":53,"value":98},"uphy0-config-6",{"type":53,"value":100},"). Kernel-DT alignment per controller is ",{"type":47,"tag":102,"props":103,"children":104},"strong",{},[105],{"type":53,"value":106},"not",{"type":53,"value":108}," done\nhere — after the ODMDATA commit lands, this skill dispatches to the\nper-controller skills (",{"type":47,"tag":69,"props":110,"children":112},{"className":111},[],[113],{"type":53,"value":114},"\u002Fjetson-customize-pcie",{"type":53,"value":116},",\n",{"type":47,"tag":69,"props":118,"children":120},{"className":119},[],[121],{"type":53,"value":122},"\u002Fjetson-customize-mgbe",{"type":53,"value":124},", ",{"type":47,"tag":69,"props":126,"children":128},{"className":127},[],[129],{"type":53,"value":130},"\u002Fjetson-customize-usb",{"type":53,"value":132},"), each of which must\ncompare the chosen allocation against the ",{"type":47,"tag":102,"props":134,"children":135},{},[136],{"type":53,"value":137},"reference kernel DTB",{"type":53,"value":139},"\nnode-by-node and emit an overlay fragment only when the K-stock value\ndisagrees with the chosen allocation. Discovery is agentic: options,\nlanes, and controllers come from the Adaptation Guide, carrier\nschematic, and Module \u002F SoC TRM at run time — never hard-coded. Every\nuser-visible step renders its data as a markdown table, and the final\nsummary includes a changes-summary table.",{"type":47,"tag":56,"props":141,"children":143},{"id":142},"prerequisites",[144],{"type":53,"value":145},"Prerequisites",{"type":47,"tag":147,"props":148,"children":149},"ul",{},[150,172,191,203,224],{"type":47,"tag":151,"props":152,"children":153},"li",{},[154,156,162,164,170],{"type":53,"value":155},"Active target-platform profile with ",{"type":47,"tag":69,"props":157,"children":159},{"className":158},[],[160],{"type":53,"value":161},"reference_devkit:",{"type":53,"value":163}," and\n",{"type":47,"tag":69,"props":165,"children":167},{"className":166},[],[168],{"type":53,"value":169},"custom_carrier:",{"type":53,"value":171},".",{"type":47,"tag":151,"props":173,"children":174},{},[175,181,183,189],{"type":47,"tag":69,"props":176,"children":178},{"className":177},[],[179],{"type":53,"value":180},"\u003Csource.root_path>\u002FLinux_for_Tegra\u002F.git",{"type":53,"value":182}," initialized\n(",{"type":47,"tag":69,"props":184,"children":186},{"className":185},[],[187],{"type":53,"value":188},"\u002Fjetson-init-source",{"type":53,"value":190},").",{"type":47,"tag":151,"props":192,"children":193},{},[194,196,202],{"type":53,"value":195},"Forked carrier conf present (",{"type":47,"tag":69,"props":197,"children":199},{"className":198},[],[200],{"type":53,"value":201},"\u002Fjetson-derive-carrier",{"type":53,"value":190},{"type":47,"tag":151,"props":204,"children":205},{},[206,208,214,216,222],{"type":53,"value":207},"Reachable Adaptation Guide via ",{"type":47,"tag":69,"props":209,"children":211},{"className":210},[],[212],{"type":53,"value":213},"documents.adaptation_guide",{"type":53,"value":215}," ->\n",{"type":47,"tag":69,"props":217,"children":219},{"className":218},[],[220],{"type":53,"value":221},"documents.bsp_developer_guide",{"type":53,"value":223}," -> web fetch -> Step-1 prompt\nfallback.",{"type":47,"tag":151,"props":225,"children":226},{},[227,255,257,262],{"type":47,"tag":102,"props":228,"children":229},{},[230,232,237,239,245,247,253],{"type":53,"value":231},"When ",{"type":47,"tag":69,"props":233,"children":235},{"className":234},[],[236],{"type":53,"value":169},{"type":53,"value":238}," is present, both\n",{"type":47,"tag":69,"props":240,"children":242},{"className":241},[],[243],{"type":53,"value":244},"documents.custom_carrier_schematic",{"type":53,"value":246}," AND\n",{"type":47,"tag":69,"props":248,"children":250},{"className":249},[],[251],{"type":53,"value":252},"documents.custom_carrier_pinmux_xls",{"type":53,"value":254}," are REQUIRED.",{"type":53,"value":256}," The skill\nrefuses to run if either is missing — routing decisions for the\ncustom carrier cannot be guessed. Reference-devkit-only profiles\n(no ",{"type":47,"tag":69,"props":258,"children":260},{"className":259},[],[261],{"type":53,"value":169},{"type":53,"value":263}," block) do not require these.",{"type":47,"tag":56,"props":265,"children":267},{"id":266},"overview",[268],{"type":53,"value":269},"Overview",{"type":47,"tag":63,"props":271,"children":272},{},[273,275,281,283,289,291,297,299,305,307,313],{"type":53,"value":274},"UPHY (unified PHY) is the shared high-speed PHY pool on Tegra264 (Thor)\nand Tegra234 (Orin). Lane allocation is selected by ",{"type":47,"tag":69,"props":276,"children":278},{"className":277},[],[279],{"type":53,"value":280},"ODMDATA",{"type":53,"value":282}," tokens\n(",{"type":47,"tag":69,"props":284,"children":286},{"className":285},[],[287],{"type":53,"value":288},"uphy0-config-N",{"type":53,"value":290},", Thor also ",{"type":47,"tag":69,"props":292,"children":294},{"className":293},[],[295],{"type":53,"value":296},"uphy1-config-N",{"type":53,"value":298},") parsed at flash time by\n",{"type":47,"tag":69,"props":300,"children":302},{"className":301},[],[303],{"type":53,"value":304},"tegraflash_impl_t264.py::tegraflash_update_bpmp_dtb()",{"type":53,"value":306}," and written\ninto ",{"type":47,"tag":69,"props":308,"children":310},{"className":309},[],[311],{"type":53,"value":312},"\u002Fuphy\u002Fuphy{0,1}-config",{"type":53,"value":314}," of the BPMP DTB.",{"type":47,"tag":63,"props":316,"children":317},{},[318,320,325,327,333,335,340,342,347,349,354,356,362,363,369,371,376,377,382,383,388,390,396,398,404],{"type":53,"value":319},"Output is a ",{"type":47,"tag":102,"props":321,"children":322},{},[323],{"type":53,"value":324},"single atomic ODMDATA commit",{"type":53,"value":326}," in\n",{"type":47,"tag":69,"props":328,"children":330},{"className":329},[],[331],{"type":53,"value":332},"\u003Csource.root_path>\u002FLinux_for_Tegra\u002F",{"type":53,"value":334}," carrying the chosen\n",{"type":47,"tag":69,"props":336,"children":338},{"className":337},[],[339],{"type":53,"value":82},{"type":53,"value":341}," token(s), the ",{"type":47,"tag":69,"props":343,"children":345},{"className":344},[],[346],{"type":53,"value":90},{"type":53,"value":348}," clear (for\n",{"type":47,"tag":69,"props":350,"children":352},{"className":351},[],[353],{"type":53,"value":98},{"type":53,"value":355},"), AND every per-controller ODMDATA token derived\nfrom the chosen allocation (",{"type":47,"tag":69,"props":357,"children":359},{"className":358},[],[360],{"type":53,"value":361},"pcie@N_status=*",{"type":53,"value":124},{"type":47,"tag":69,"props":364,"children":366},{"className":365},[],[367],{"type":53,"value":368},"mgbeN-speed-*",{"type":53,"value":370},", USB SS\nper-port tokens). Sub-skills (",{"type":47,"tag":69,"props":372,"children":374},{"className":373},[],[375],{"type":53,"value":114},{"type":53,"value":116},{"type":47,"tag":69,"props":378,"children":380},{"className":379},[],[381],{"type":53,"value":122},{"type":53,"value":124},{"type":47,"tag":69,"props":384,"children":386},{"className":385},[],[387],{"type":53,"value":130},{"type":53,"value":389},") own only the\nkernel-DT overlay fragments — they MUST NOT touch ODMDATA. All\ncommits follow the batched pristine + customization pattern in\n",{"type":47,"tag":69,"props":391,"children":393},{"className":392},[],[394],{"type":53,"value":395},"..\u002F..\u002Fcontext\u002Fbsp-customization-workflow.md",{"type":53,"value":397},". 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install, deploy, run, validate, troubleshoot, or stop NVIDIA AI-Q Blueprint infrastructure.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[1209,1212,1215],{"name":1210,"slug":1211,"type":15},"Deployment","deployment",{"name":1213,"slug":1214,"type":15},"Infrastructure","infrastructure",{"name":9,"slug":8,"type":15},"2026-07-14T05:29:06.667109",{"slug":1218,"name":1218,"fn":1219,"description":1220,"org":1221,"tags":1222,"stars":20,"repoUrl":21,"updatedAt":1230},"aiq-research","conduct deep research with AI-Q","Use when asked to run deep research or AI-Q research through a reachable NVIDIA AI-Q Blueprint backend.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[1223,1226,1227],{"name":1224,"slug":1225,"type":15},"Agents","agents",{"name":9,"slug":8,"type":15},{"name":1228,"slug":1229,"type":15},"Research","research","2026-07-14T05:28:06.816956",{"slug":1232,"name":1232,"fn":1233,"description":1234,"org":1235,"tags":1236,"stars":20,"repoUrl":21,"updatedAt":1242},"amc-run-sample-calibration","run AMC sample dataset calibration","Run end-to-end calibration on the shipped sample dataset (sdg_08_2_sample_data_010926.zip) against a running AMC microservice. Use when user says 'test sample dataset', 'run sample calibration', 'verify AMC install', or 'launch and test'.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[1237,1238,1239],{"name":1193,"slug":1194,"type":15},{"name":9,"slug":8,"type":15},{"name":1240,"slug":1241,"type":15},"Testing","testing","2026-07-17T05:29:03.913266",{"slug":1244,"name":1244,"fn":1245,"description":1246,"org":1247,"tags":1248,"stars":20,"repoUrl":21,"updatedAt":1259},"amc-run-video-calibration","calibrate video datasets with AutoMagicCalib","Calibrate a new dataset from pre-recorded video files via the AutoMagicCalib REST API. Use when user has local MP4s and says 'calibrate my videos', 'run AMC on these videos', or similar. For RTSP\u002Flive streams, use amc-run-rtsp-calibration instead.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[1249,1252,1255,1256],{"name":1250,"slug":1251,"type":15},"Automation","automation",{"name":1253,"slug":1254,"type":15},"Imaging","imaging",{"name":9,"slug":8,"type":15},{"name":1257,"slug":1258,"type":15},"Video","video","2026-07-17T05:28:53.905004",{"slug":1261,"name":1261,"fn":1262,"description":1263,"org":1264,"tags":1265,"stars":20,"repoUrl":21,"updatedAt":1274},"amc-setup-calibration-stack","deploy AutoMagicCalib microservice with Docker","Launch AutoMagicCalib microservice and web UI from NGC release images via Docker Compose. Use when user says 'deploy auto calibration', 'launch auto calibration', 'launch AMC', 'start MS+UI', or 'set up auto-magic-calib'. Requires NGC API key.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[1266,1267,1270,1271],{"name":1210,"slug":1211,"type":15},{"name":1268,"slug":1269,"type":15},"Docker","docker",{"name":9,"slug":8,"type":15},{"name":1272,"slug":1273,"type":15},"Operations","operations","2026-07-17T05:28:56.913999",{"slug":1276,"name":1276,"fn":1277,"description":1278,"org":1279,"tags":1280,"stars":20,"repoUrl":21,"updatedAt":1288},"cudaq-guide","develop quantum applications with CUDA-Q","CUDA-Q onboarding guide for installation, test programs, GPU simulation, QPU hardware, and quantum applications.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[1281,1282,1285],{"name":9,"slug":8,"type":15},{"name":1283,"slug":1284,"type":15},"Quantum Computing","quantum-computing",{"name":1286,"slug":1287,"type":15},"Simulation","simulation","2026-07-14T05:26:58.898253",305,{"items":1291,"total":1442},[1292,1310,1326,1337,1349,1363,1376,1390,1401,1410,1424,1433],{"slug":1293,"name":1293,"fn":1294,"description":1295,"org":1296,"tags":1297,"stars":1307,"repoUrl":1308,"updatedAt":1309},"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},[1298,1301,1304],{"name":1299,"slug":1300,"type":15},"Documentation","documentation",{"name":1302,"slug":1303,"type":15},"MCP","mcp",{"name":1305,"slug":1306,"type":15},"Search","search",21777,"https:\u002F\u002Fgithub.com\u002FNVIDIA\u002FNemoClaw","2026-07-20T06:00:01.461044",{"slug":1311,"name":1311,"fn":1312,"description":1313,"org":1314,"tags":1315,"stars":1323,"repoUrl":1324,"updatedAt":1325},"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},[1316,1319,1320],{"name":1317,"slug":1318,"type":15},"Containers","containers",{"name":1210,"slug":1211,"type":15},{"name":1321,"slug":1322,"type":15},"Python","python",17049,"https:\u002F\u002Fgithub.com\u002FNVIDIA\u002FMegatron-LM","2026-07-27T06:06:11.249662",{"slug":1327,"name":1327,"fn":1328,"description":1329,"org":1330,"tags":1331,"stars":1323,"repoUrl":1324,"updatedAt":1336},"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},[1332,1335],{"name":1333,"slug":1334,"type":15},"CI\u002FCD","ci-cd",{"name":1210,"slug":1211,"type":15},"2026-07-14T05:25:59.97109",{"slug":1338,"name":1338,"fn":1339,"description":1340,"org":1341,"tags":1342,"stars":1323,"repoUrl":1324,"updatedAt":1348},"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},[1343,1344,1345],{"name":1333,"slug":1334,"type":15},{"name":1210,"slug":1211,"type":15},{"name":1346,"slug":1347,"type":15},"GitHub","github","2026-07-27T06:06:12.278222",{"slug":1350,"name":1350,"fn":1351,"description":1352,"org":1353,"tags":1354,"stars":1323,"repoUrl":1324,"updatedAt":1362},"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},[1355,1358,1359],{"name":1356,"slug":1357,"type":15},"Debugging","debugging",{"name":1346,"slug":1347,"type":15},{"name":1360,"slug":1361,"type":15},"Triage","triage","2026-07-14T05:25:57.442089",{"slug":1364,"name":1364,"fn":1365,"description":1366,"org":1367,"tags":1368,"stars":1323,"repoUrl":1324,"updatedAt":1375},"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},[1369,1372],{"name":1370,"slug":1371,"type":15},"Best Practices","best-practices",{"name":1373,"slug":1374,"type":15},"Code Analysis","code-analysis","2026-07-14T05:25:56.18433",{"slug":1377,"name":1377,"fn":1378,"description":1379,"org":1380,"tags":1381,"stars":1323,"repoUrl":1324,"updatedAt":1389},"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},[1382,1385,1388],{"name":1383,"slug":1384,"type":15},"Machine Learning","machine-learning",{"name":1386,"slug":1387,"type":15},"Migration","migration",{"name":9,"slug":8,"type":15},"2026-07-17T06:07:11.777011",{"slug":1391,"name":1391,"fn":1392,"description":1393,"org":1394,"tags":1395,"stars":1323,"repoUrl":1324,"updatedAt":1400},"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},[1396,1399],{"name":1397,"slug":1398,"type":15},"QA","qa",{"name":1240,"slug":1241,"type":15},"2026-07-14T05:25:53.673039",{"slug":1402,"name":1402,"fn":1403,"description":1404,"org":1405,"tags":1406,"stars":1323,"repoUrl":1324,"updatedAt":1409},"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},[1407,1408],{"name":1210,"slug":1211,"type":15},{"name":1213,"slug":1214,"type":15},"2026-07-14T05:25:49.362534",{"slug":1411,"name":1411,"fn":1412,"description":1413,"org":1414,"tags":1415,"stars":1323,"repoUrl":1324,"updatedAt":1423},"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},[1416,1419,1420],{"name":1417,"slug":1418,"type":15},"Code Review","code-review",{"name":1346,"slug":1347,"type":15},{"name":1421,"slug":1422,"type":15},"Pull Requests","pull-requests","2026-07-14T05:26:01.226578",{"slug":1425,"name":1425,"fn":1426,"description":1427,"org":1428,"tags":1429,"stars":1323,"repoUrl":1324,"updatedAt":1432},"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},[1430,1431],{"name":1397,"slug":1398,"type":15},{"name":1240,"slug":1241,"type":15},"2026-07-14T05:25:54.928983",{"slug":1434,"name":1434,"fn":1435,"description":1436,"org":1437,"tags":1438,"stars":1323,"repoUrl":1324,"updatedAt":1441},"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},[1439,1440],{"name":1250,"slug":1251,"type":15},{"name":1333,"slug":1334,"type":15},"2026-07-30T05:29:03.275638",496]