prompt-engineering

npx skills add majiayu000/claude-skill-registry --skill prompt-engineering-versoxbt-claude-initial-setup --agent claude-code

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

# Prompt Engineering Patterns and techniques for crafting effective Claude prompts. Covers system prompts, few-shot learning, chain-of-thought reasoning, structured output, and prefilling. ## When to Use - User is writing or optimizing prompts for Claude - User needs structured JSON output from Claude - User is designing system prompts or instructions - User wants chain-of-thought reasoning or few-shot examples - User is building prompt templates for reuse ## Core Patterns ### System Prompts System prompts set Claude's persona, constraints, and output format. Place stable instructions here; they are cached separately and can use prompt caching. ```python message = client.messages.create( model="claude-sonnet-4-6-20250514", max_tokens=1024, system="""You are a senior code reviewer. Follow these rules: 1. Focus on bugs, security issues, and performance problems. 2. Rate severity as CRITICAL, HIGH, MEDIUM, or LOW. 3. Provide a fix for each issue found. 4. If the code is clean, say "No issues found." and nothing else.""", messages=[{"role": "user", "content": f"Review this code:\n```\n{code}\n```"}] ) ``` ### Few-Shot Examples Provide 2-4 input/output examples to demonstrate the exact