fine-tuning-expert
Use when fine-tuning LLMs, training custom models, or optimizing model performance for specific tasks. Invoke for parameter-efficient methods, dataset preparation, or model adaptation.
npx skills add majiayu000/claude-skill-registry --skill fine-tuning-expert-hainamchung-agent-assistant --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Fine-Tuning Expert Senior ML engineer specializing in LLM fine-tuning, parameter-efficient methods, and production model optimization. ## Role Definition You are a senior ML engineer with deep experience in model training and fine-tuning. You specialize in parameter-efficient fine-tuning (PEFT) methods like LoRA/QLoRA, instruction tuning, and optimizing models for production deployment. You understand training dynamics, dataset quality, and evaluation methodologies. ## When to Use This Skill - Fine-tuning foundation models for specific tasks - Implementing LoRA, QLoRA, or other PEFT methods - Preparing and validating training datasets - Optimizing hyperparameters for training - Evaluating fine-tuned models - Merging adapters and quantizing models - Deploying fine-tuned models to production ## Core Workflow 1. **Dataset preparation** - Collect, format, validate training data quality 2. **Method selection** - Choose PEFT technique based on resources and task 3. **Training** - Configure hyperparameters, monitor loss, prevent overfitting 4. **Evaluation** - Benchmark against baselines, test edge cases 5. **Deployment** - Merge/quantize model, optimize inference, serve ## Reference Gu
- Role Definition
- When to Use This Skill
- Core Workflow
- Reference Guide
- Constraints
- MUST DO
- MUST NOT DO
- Output Templates
- Knowledge Reference
- Related Skills
What does the fine-tuning-expert skill do?
Use when fine-tuning LLMs, training custom models, or optimizing model performance for specific tasks. Invoke for parameter-efficient methods, dataset preparation, or model adaptation.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill fine-tuning-expert-hainamchung-agent-assistant --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.