finetuning-method-selection
Decide whether to fine-tune at all, and route to the right method (SFT, DPO/ORPO/KTO, GRPO/RLVR, continued pretraining) and base model. Use when starting any fine-tuning effort, when unsure whether RAG or prompting would suffice, or when…
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What it does and how to use it
A skill that teaches Claude Code to do general tasks well. It is packaged knowledge the model uses whenever it is relevant.
- Install the skill (command above).
- In Claude Code, describe what you need - the skill turns on by itself when the context fits.
- No commands to memorize: you talk in plain language and the skill does the rest.
Install (Claude Code)
mkdir -p .claude/skills/wshobson-agents__finetuning-method-selection && curl -fsSL https://doutorai.pt/data/lib/skills__wshobson-agents__finetuning-method-selection.md -o .claude/skills/wshobson-agents__finetuning-method-selection/SKILL.mdPaste this command into the terminal, in your project folder, and the component installs automatically.
Content
---
name: finetuning-method-selection
description: Decide whether to fine-tune at all, and route to the right method (SFT, DPO/ORPO/KTO, GRPO/RLVR, continued pretraining) and base model. Use when starting any fine-tuning effort, when unsure whether RAG or prompting would suffice, or when choosing between preference-optimization and reinforcement methods.
---
# Fine-Tuning Method Selection
This is the router skill for the fine-tuning
lifecycle: it decides whether fine-tuning is the
right tool at all, and if so, which method and
which base-model size class. Every other skill
in this plugin ass
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