This skill should be used when picking or diagnosing a training move (SFT, LoRA, DPO/KTO/ORPO, RFT, GRPO/PPO/RLOO, RLHF), or when the user mentions fine-tuning, post-training, training recipe, reward design, or weight updates. Decision tree by reward shape, smoke-run gate, three failure diagnostics, five false-progress patterns. Provider recipes and I/O contract in references/.
How to install finetuning?
evo-hq/evo/finetuning
$npx -y skills add evo-hq/evo --skill finetuningInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/evo-hq/evo" --skill "evo-hq/evo/finetuning"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/evo-hq/evo" that are relevant to the current task. Run `npx skills add "https://github.com/evo-hq/evo"` and select the relevant skills, then follow their instructions.
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