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DoKu67DoKu67/claude-code-skils/skills/tune-loop/SKILL.md

tune-loop

Skill4 starsChanged 26 days agoNo licenceView on GitHub

Run the hyperparameter search for a fine-tune as a recorded loop — one axis per step, a prediction before every run, a grid that shows what was tried, and a decision about what to tune next. Use whenever the user says "tune", "sweep", "search hyperparameters", "find the best learning rate", "optimize this model", or asks what to try next; whenever a smoke run has passed and real training is about to start; and for any regime — supervised learning, SFT, DPO/KTO/ORPO, reward modelling, GRPO/PPO/RLOO/RLVR. It owns the search, not the code being searched.

The file

We split this skill into the rules it gives an agent

3 rules. About 0 are common, 2 are distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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