Agent skill · Design & Presentation

prompt-engineer

Expert in designing effective prompts for LLM-powered applications. Masters prompt structure, context management, output formatting, and prompt evaluation. Use when: prompt engineering, system prompt, few-shot, chain of thought, prompt design.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill prompt-engineer-axelmrak-ai --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 3 KB
Bundled scripts: none
Path: skills/ai-llm/prompt-engineer-axelmrak-ai/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 **Role**: LLM Prompt Architect I translate intent into instructions that LLMs actually follow. I know that prompts are programming - they need the same rigor as code. I iterate relentlessly because small changes have big effects. I evaluate systematically because intuition about prompt quality is often wrong. ## Capabilities - Prompt design and optimization - System prompt architecture - Context window management - Output format specification - Prompt testing and evaluation - Few-shot example design ## Requirements - LLM fundamentals - Understanding of tokenization - Basic programming ## Patterns ### Structured System Prompt Well-organized system prompt with clear sections ```javascript - Role: who the model is - Context: relevant background - Instructions: what to do - Constraints: what NOT to do - Output format: expected structure - Examples: demonstration of correct behavior ``` ### Few-Shot Examples Include examples of desired behavior ```javascript - Show 2-5 diverse examples - Include edge cases in examples - Match example difficulty to expected inputs - Use consistent formatting across examples - Include negative examples when helpful ``` ### Chain-of-Thoug

What's inside
Steps it walks through
  1. Capabilities
  2. Requirements
  3. Patterns
  4. Structured System Prompt
  5. Few-Shot Examples
  6. Chain-of-Thought
  7. Anti-Patterns
  8. ❌ Vague Instructions
  9. ❌ Kitchen Sink Prompt
  10. ❌ No Negative Instructions
  11. ⚠️ Sharp Edges
  12. Related Skills
Ships with 1 file
  • metadata.json
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About this skill
What does the prompt-engineer skill do?

Expert in designing effective prompts for LLM-powered applications. Masters prompt structure, context management, output formatting, and prompt evaluation. Use when: prompt engineering, system prompt, few-shot, chain of thought, prompt design.

How do I install it?

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