Agent skill · Documentation

00-build-fine-tuning-skill

Create your llmops-fine-tuner skill from Unsloth documentation before learning fine-tuning theory

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill 00-build-fine-tuning-skill --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 16 KB
Bundled scripts: none
Path: skills/ai-llm/00-build-fine-tuning-skill/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Build Your Fine-Tuning Skill You are about to learn supervised fine-tuning. But here is the pattern that separates effective AI-native developers from those who struggle: **build your skill first, then learn the technology**. In traditional learning, you study a topic, maybe take notes, and hope you remember it later. In Skill-First learning, you create a reusable intelligence asset before you even understand the technology deeply. This asset grows with you as you learn, and by the end of the chapter, you own a production-ready skill you can sell or deploy. This lesson follows the same pattern you used in Part 6 and Part 7. Clone a fresh skills-lab, fetch official documentation, and build your `llmops-fine-tuner` skill from authoritative sources rather than memory. ## Why Skill-First for Fine-Tuning? Fine-tuning has dozens of hyperparameters, multiple training strategies, and evolving best practices. Trying to memorize all of this is futile. But encoding it into a skill that you can invoke, test, and improve makes this knowledge permanently accessible and actionable. | Traditional Approach | Skill-First Approach | |---------------------|---------------------| | Read tutorials, fo

What's inside
Steps it walks through
  1. Why Skill-First for Fine-Tuning?
  2. Step 1: Clone a Fresh Skills-Lab
  3. Step 2: Write Your LEARNING-SPEC.md
  4. Step 3: Fetch Official Documentation
  5. Step 4: Create Your llmops-fine-tuner Skill
  6. Step 5: Verify Your Skill
  7. What Happens Next
  8. Try With AI
  9. Prompt 1: Verify Skill Structure
  10. Prompt 2: Connect to Your Domain
  11. Prompt 3: Validate Against Official Docs
  12. Safety Note
Ships with 1 file
  • metadata.json
Commands it runs
Clone the skills-lab repository
git clone https://github.com/panaversity/skills-lab.git ~/skills-lab-ch64
Navigate to the directory
cd ~/skills-lab-ch64
Create the skill directory structure
mkdir -p .claude/skills/llmops-fine-tuner
Create the learning spec
cat > LEARNING-SPEC.md << 'EOF'
cat > .claude/skills/llmops-fine-tuner/SKILL.md << 'EOF'
Check the skill exists
More from claude-skill-registry
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About this skill
What does the 00-build-fine-tuning-skill skill do?

Create your llmops-fine-tuner skill from Unsloth documentation before learning fine-tuning theory

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill 00-build-fine-tuning-skill --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.

Keep going