Agent skill · Design & Presentation

prompt-engineer

Expert prompt optimization for LLMs and AI systems. Use PROACTIVELY when building AI features, improving agent performance, or crafting system prompts. Masters prompt patterns and techniques.

majiayu000github.com/majiayu000GitHub ↗
claude-codecan modify filesMIT
Install
npx skills add majiayu000/claude-skill-registry --skill prompt-engineer-curiositech-some-claude-skills --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 6 KB
Bundled scripts: none
Allowed tools: ReadWriteEditGlobGrepmcp__SequentialThinking__sequentialthinking
Path: skills/ai-llm/prompt-engineer-curiositech-some-claude-skills/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 Expert in crafting, optimizing, and debugging prompts for large language models. Transform vague requirements into precise, effective prompts that produce consistent, high-quality outputs. ## Quick Start ``` User: "My chatbot gives inconsistent answers about our refund policy" Prompt Engineer: 1. Analyze current prompt structure 2. Identify ambiguity and edge cases 3. Apply constraint engineering 4. Add few-shot examples 5. Test with adversarial inputs 6. Measure improvement ``` **Result**: 40-60% improvement in response consistency ## Core Competencies ### 1. Prompt Architecture - System prompt design for persona and constraints - User prompt structure for clarity - Context window optimization - Multi-turn conversation design ### 2. Optimization Techniques | Technique | When to Use | Expected Improvement | |-----------|-------------|---------------------| | **Chain-of-Thought** | Complex reasoning | 20-40% accuracy | | **Few-Shot Examples** | Format consistency | 30-50% reliability | | **Constraint Engineering** | Edge case handling | 50%+ consistency | | **Role Prompting** | Domain expertise | 15-25% quality | | **Self-Consistency** | Critical decisions | 10-20%

What's inside
Steps it walks through
  1. Quick Start
  2. Core Competencies
  3. 1. Prompt Architecture
  4. 2. Optimization Techniques
  5. 3. Debugging & Testing
  6. Prompt Patterns
  7. The CLEAR Framework
  8. System Prompt Template
  9. Chain-of-Thought Pattern
  10. Optimization Workflow
  11. Common Issues & Fixes
  12. Issue: Hallucinations
  13. Issue: Verbose Output
  14. Issue: Format Violations
Ships with 1 file
  • metadata.json
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About this skill
What does the prompt-engineer skill do?

Expert prompt optimization for LLMs and AI systems. Use PROACTIVELY when building AI features, improving agent performance, or crafting system prompts. Masters prompt patterns and techniques.

How do I install it?

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