Repository
NVIDIA/Megatron-LM agent skills
- skills
- 14
- official
- 14
- GitHub stars
- 18k
GitHub description: “Ongoing research training transformer models at scale”
- Stars
- 18,078 (4,591 forks)
- Licence
- Unknown
- Last push
- Oct 2026
- Created
- Mar 2019
- large-language-models
- model-para
- transformers
Install all skills
npx skills add NVIDIA/Megatron-LMAdd --skill <name> for a single skill and -a <agent> to choose the agent (see the agent guides).
Skills in NVIDIA/Megatron-LM, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Refreshes stored golden values from a GitHub Actions run, reports signed percentage changes per model, and writes a summary ready for a pull request description. | NVIDIA/ | 18k | — | ~2.8k | Automated safety check: Pass | Unknown | today |
| 2 | Walks an agent through working inside the Megatron-LM CI container and changing dependencies with uv, so lock files resolve the same locally and in CI. | NVIDIA/ | 18k | — | ~2.6k | Automated safety check: Pass | Apache-2.0 | today |
| 3 | Moves Megatron-LM CI to a newer NVIDIA PyTorch base image, updating both the GitHub and GitLab pins together and handling the CI follow-up. | NVIDIA/ | 18k | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | today |
| 4 | Explains Megatron-LM's CI pipeline, PR scope labels, triggering the internal GitLab CI with a dry run first, and investigating CI failures. | NVIDIA/ | 18k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | today |
| 5 | Investigates a failing GitHub Actions run or job for Megatron-LM, finds the root cause plus the PR and test author involved, and files a structured bug issue. | NVIDIA/ | 18k | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | today |
| 6 | Guides moving Megatron Core GPTModel checkpoints, configs, training commands and launch scripts to HybridModel, following the repository's migration document. | NVIDIA/ | 18k | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | today |
| 7 | Creates one-node GitHub merge-request variants of existing two-node GB200 functional tests in Megatron-LM, adjusting parallelism settings to fit four GPUs. | NVIDIA/ | 18k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | today |
| 8 | Shows how to launch distributed Megatron-LM training on a SLURM cluster: sbatch skeleton, torch.distributed.run setup, CUDA_DEVICE_MAX_CONNECTIONS rules and failure diagnosis. | NVIDIA/ | 18k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | today |
| 9 | Guide to the Megatron-LM test system: layout, recipe YAML, running and adding unit and functional tests, golden values, marker filters and CI parity. | NVIDIA/ | 18k | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | today |
| 10 | Review rubric for the /review pull-request command. An agent skill from NVIDIA/Megatron-LM. | NVIDIA/ | 18k | — | ~839 | Automated safety check: Pass | Apache-2.0 | today |
| 11 | Runs the Megatron-LM autoformat script and its linting tools before a pull request, and keeps Python imports in order with isort. | NVIDIA/ | 18k | — | ~317 | Automated safety check: Pass | Apache-2.0 | today |
| 12 | Domain knowledge for the nightly workflow that merges Megatron-LM's main branch into dev, covering conflict handling, CI iteration, failure investigation and known issues. | NVIDIA/ | 18k | — | ~8.5k | Automated safety check: Pass | Unknown | today |
| 13 | Split a PR into multiple PRs to reduce the number of required CODEOWNERS reviewer groups. | NVIDIA/ | 18k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | today |
| 14 | Research and draft a response to a GitHub issue or question from an external contributor. | NVIDIA/ | 18k | — | ~913 | Automated safety check: Pass | Unknown | today |
Questions, answered from the data.
What is the best skill in NVIDIA/Megatron-LM?
Update Megatron Golden Values (official) from NVIDIA/Megatron-LM ranks first of the 14 skills in NVIDIA/Megatron-LM listed here, with the highest score: its repository has 18k GitHub stars, its SKILL.md loads about 2.8k tokens and it passes the automated safety check with no findings. Next come Megatron-LM Container and Dependency Setup and Megatron-LM Base Image Bump.
Are the skills in NVIDIA/Megatron-LM official?
14 of the 14 skills in NVIDIA/Megatron-LM are official, published by the vendor's own GitHub organization: Update Megatron Golden Values, Megatron-LM Container and Dependency Setup, Megatron-LM Base Image Bump, Megatron-LM CI/CD Guide, Megatron-LM CI Failure Triage and 9 more.
How do I install all skills from NVIDIA/Megatron-LM?
Run npx skills add NVIDIA/Megatron-LM in your project: the open-source skills CLI installs the repository's skills into your coding agent's skills folder. To install a single skill, open its page here for the exact command.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.