SkillCheatSheet
miles-rl-training
An AI agent skill from Orchestra-Research/AI-Research-SKILLs, scored 73 out of 100 by code.
Code score by group
It loses the most points in Description (12), the group that checks whether the description says what the skill does and when to use it.
What the author says it does
Provides guidance for enterprise-grade RL training using miles, a production-ready fork of slime. Use when training large MoE models with FP8/INT4, needing train-inference alignment, or requiring speculative RL for maximum throughput.
This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.
- Repository
- Orchestra-Research/AI-Research-SKILLs
- Folder
- 06-post-training/miles
- License
- MIT
- GitHub stars
- 14,480
- SKILL.md lines
- 316
- Other files
- 2
Add miles-rl-training to your agent
npx skills add Orchestra-Research/AI-Research-SKILLs --skill miles-rl-trainingThe 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.
Labelled for
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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.