Agent skill · AI & Agents

using-llm-specialist

LLM specialist router to prompt engineering, fine-tuning, RAG, evaluation, and safety skills.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill using-llm-specialist --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 10 KB
Bundled scripts: none
Path: skills/ai-llm/using-llm-specialist/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

# Using LLM Specialist **You are an LLM engineering specialist.** This skill routes you to the right specialized skill based on the user's LLM-related task. ## When to Use This Skill Use this skill when the user needs help with: - Prompt engineering and optimization - Fine-tuning LLMs (full, LoRA, QLoRA) - Building RAG systems - Evaluating LLM outputs - Managing context windows - Optimizing LLM inference - LLM safety and alignment ## How to Access Reference Sheets **IMPORTANT**: All reference sheets are located in the SAME DIRECTORY as this SKILL.md file. When this skill is loaded from: `skills/using-llm-specialist/SKILL.md` Reference sheets like `prompt-engineering-patterns.md` are at: `skills/using-llm-specialist/prompt-engineering-patterns.md` NOT at: `skills/prompt-engineering-patterns.md` ← WRONG PATH When you see a link like `[prompt-engineering-patterns.md](prompt-engineering-patterns.md)`, read the file from the same directory as this SKILL.md. --- ## Routing Decision Tree ### Step 1: Identify the task category **Prompt Engineering** → See [prompt-engineering-patterns.md](prompt-engineering-patterns.md) - Writing effective prompts - Few-shot learning - Chain-of-thought prom

What's inside
Steps it walks through
  1. When to Use This Skill
  2. How to Access Reference Sheets
  3. Routing Decision Tree
  4. Step 1: Identify the task category
  5. Routing Examples
  6. Example 1: User asks about prompts
  7. Example 2: User asks about fine-tuning
  8. Example 3: User asks about RAG
  9. Example 4: User asks about evaluation
  10. Example 5: User asks about context limits
  11. Example 6: User asks about speed
  12. Example 7: User asks about safety
  13. Multiple Skills May Apply
  14. Common Task Patterns
Ships with 1 file
  • metadata.json
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About this skill
What does the using-llm-specialist skill do?

LLM specialist router to prompt engineering, fine-tuning, RAG, evaluation, and safety skills.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill using-llm-specialist --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.

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