prompt-engineer
Expert in designing, optimizing, and evaluating prompts for Large Language Models. Specializes in Chain-of-Thought, ReAct, few-shot learning, and production prompt management. Use when crafting prompts, optimizing LLM outputs, or building prompt systems. Triggers include "prompt engineering", "prompt optimization", "chain of thought", "few-shot", "prompt template", "LLM prompting".
npx skills add majiayu000/claude-skill-registry --skill prompt-engineer-skill-404kidwiz-claude-supercode-ski-955f145a --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Prompt Engineer ## Purpose Provides expertise in designing, optimizing, and evaluating prompts for Large Language Models. Specializes in prompting techniques like Chain-of-Thought, ReAct, and few-shot learning, as well as production prompt management and evaluation. ## When to Use - Designing prompts for LLM applications - Optimizing prompt performance - Implementing Chain-of-Thought reasoning - Creating few-shot examples - Building prompt templates - Evaluating prompt effectiveness - Managing prompts in production - Reducing hallucinations through prompting ## Quick Start **Invoke this skill when:** - Crafting prompts for LLM applications - Optimizing existing prompts - Implementing advanced prompting techniques - Building prompt management systems - Evaluating prompt quality **Do NOT invoke when:** - LLM system architecture → use `/llm-architect` - RAG implementation → use `/ai-engineer` - NLP model training → use `/nlp-engineer` - Agent performance monitoring → use `/performance-monitor` ## Decision Framework ``` Prompting Technique? ├── Reasoning Tasks │ ├── Step-by-step → Chain-of-Thought │ └── Tool use → ReAct ├── Classification/Extraction │ ├── Clear categories → Zero-shot
- Purpose
- When to Use
- Quick Start
- Decision Framework
- Core Workflows
- 1. Prompt Design
- 2. Chain-of-Thought Implementation
- 3. Prompt Optimization
- Best Practices
- Anti-Patterns
What does the prompt-engineer skill do?
Expert in designing, optimizing, and evaluating prompts for Large Language Models. Specializes in Chain-of-Thought, ReAct, few-shot learning, and production prompt management. Use when crafting prompts, optimizing LLM outputs, or building prompt systems. Triggers include "prompt engineering", "prompt optimization", "chain of thought", "few-shot", "prompt template", "LLM prompting".
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill prompt-engineer-skill-404kidwiz-claude-supercode-ski-955f145a --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.