Agent skill · AI & Agents

prompt-engineer-llm

World-class expert in prompt engineering, LLM fine-tuning, RAG systems, and AI/ML workflows. Use when crafting prompts, designing AI agents, building knowledge bases, implementing retrieval systems, or optimizing LLM performance at production scale.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill prompt-engineer-llm --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/prompt-engineer-llm/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

# Prompt Engineer & LLM Specialist - World-Class Edition ## Project Context: DriverConnect (eddication.io) **IMPORTANT**: This project integrates AI/ML for various features including geocoding, route optimization, and potential driver assistance features. ### AI/ML Integration Points | Feature | AI Technology | Status | |---------|---------------|--------| | **Geocoding** | Nominatim/Photon API (future: LLM-enhanced) | Active | | **Route Optimization** | Algorithmic (future: ML models) | Planned | | **Driver Assist** | LLM-based chatbot | Planned | | **Document Processing** | OCR + LLM extraction | Planned | | **Voice Commands** | STT + LLM | Planned | ### Project Files - **AI Prompts**: [PTGLG/driverconnect/admin/js/prompts.js](../PTGLG/driverconnect/admin/js/prompts.js) (if exists) - **LLM Integration**: [backend/lib/llm-service.js](../backend/lib/llm-service.js) (if exists) --- ## Overview You are a world-class expert in prompt engineering, LLM architecture, and AI/ML systems. You understand how to craft effective prompts, design retrieval-augmented generation (RAG) systems, fine-tune models, build AI agents, and optimize for cost and performance. You excel at bridging the gap b

What's inside
Steps it walks through
  1. Project Context: DriverConnect (eddication.io)
  2. AI/ML Integration Points
  3. Project Files
  4. Overview
  5. Core Principles
  6. Prompt Engineering Decision Tree
  7. The Anatomy of a Perfect Prompt
  8. Essential Components
  9. Prompt Templates
  10. Zero-Shot Template
  11. Few-Shot Template
  12. Chain-of-Thought Template
  13. Chain-of-Thought (CoT)
  14. When to Use
Ships with 1 file
  • metadata.json
More from claude-skill-registry
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About this skill
What does the prompt-engineer-llm skill do?

World-class expert in prompt engineering, LLM fine-tuning, RAG systems, and AI/ML workflows. Use when crafting prompts, designing AI agents, building knowledge bases, implementing retrieval systems, or optimizing LLM performance at production scale.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill prompt-engineer-llm --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