Repository
stas00/ml-engineering agent skills
- skill
- 1
- GitHub stars
- 19k
GitHub description: “Machine Learning Engineering Open Book”
- Stars
- 19,385 (1,282 forks)
- Licence
- CC-BY-SA-4.0
- Last push
- Oct 2026
- Created
- Sep 2020
- Homepage
- stasosphere.com/machine-learning
- pytorch
- slurm
- large-language-models
- llm
- machine-learning
- scalability
- transformers
- machine-learning-engineering
- mlops
- ai
- inference
- training
- debugging
- gpus
- network
- storage
Install all skills
npx skills add stas00/ml-engineeringAdd --skill <name> for a single skill and -a <agent> to choose the agent (see the agent guides).
Skills in stas00/ml-engineering, ranked
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Runs an acceptance-style evaluation of an ML GPU cluster: environment dump, matmul FLOPS, all-reduce, disk benchmarks and a dated markdown report. | stas00/ | 19k | — | ~25k | Automated safety check: Notes | CC-BY-SA-4.0 | today |
Questions, answered from the data.
What is the best skill in stas00/ml-engineering?
GPU Cluster Evaluation from stas00/ml-engineering ranks first of the 1 skills in stas00/ml-engineering listed here, with the highest score: its repository has 19k GitHub stars, its SKILL.md loads about 25k tokens and it has informational notes only in the automated safety check.
Are the skills in stas00/ml-engineering official?
None yet. All 1 skills in stas00/ml-engineering listed here come from community repositories; a skill counts as official when the product's own GitHub organization publishes it.
How do I install all skills from stas00/ml-engineering?
Run npx skills add stas00/ml-engineering 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.