SkillCheatSheet
ml-engineering
An AI agent skill from stas00/ml-engineering, scored 25 out of 100 by code.
Code score by group
It loses the most points in Description (20), the group that checks whether the description says what the skill does and when to use it.
What the author says it does
The SKILL.md has no description.
This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.
- Repository
- stas00/ml-engineering
- Folder
- (repository root)
- License
- CC-BY-SA-4.0
- GitHub stars
- 19,702
- SKILL.md lines
- 6
- Other files
- 219
Add ml-engineering to your agent
npx skills add stas00/ml-engineering --skill ml-engineeringThe command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored.
More skills from stas00/ml-engineering
-
evaluate-cluster
Evaluates an ML GPU cluster for a cloud trial or acceptance test: environment dump, isolated newest PyTorch, matmul FLOPS (MAMF/MSMF) on every GPU while the others compute, intra-…
67C -
ml-engineering
Field-tested methodology and concrete recipes for training and operating large-scale LLM/VLM/multi-modal models end to end - choosing and benchmarking accelerators, storage and ne…
55C
All skills in stas00/ml-engineering
Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.