prompt-engineer-skill

Prompt Engineer

Expert prompt engineering skill that transforms rough ideas into well-structured, production-ready prompts optimized for LLMs.

When to Activate

• •User provides a rough prompt/idea and wants it refined
• •User asks to create/design/optimize a prompt for any LLM
• •User needs prompt architecture for agents, RAG, or multi-step workflows
• •User asks about prompting techniques or best practices

Workflow

1. Analyze Input

Identify from user's request:

• •Target model (Claude, GPT, Llama, etc.) — default: Claude
• •Use case (agent system prompt, task prompt, RAG, chat, etc.)
• •Domain (technical, creative, business, etc.)
• •Constraints (token limits, output format, safety requirements)

2. Apply Techniques

Select appropriate techniques from references/techniques.md based on use case:

• •Complex reasoning → Chain-of-Thought, Tree-of-Thoughts
• •Safety-critical → Constitutional AI patterns
• •Data extraction → Structured output, JSON mode
• •Multi-step tasks → Prompt chaining, agent patterns
• •Knowledge-heavy → RAG optimization

3. Craft the Prompt

Follow model-specific guidelines from references/model-optimization.md:

• •Structure with clear sections (role, context, instructions, output format)
• •Include examples where beneficial (few-shot)
• •Add constraints and guardrails
• •Optimize for token efficiency

4. Deliver Output

MANDATORY format — always include ALL sections:

Display complete prompt in a single copyable code block.

• •Techniques used and rationale
• •Model-specific optimizations
• •Parameter recommendations (temperature, max_tokens)
• •Expected behavior and output format

• •3-5 test cases to validate
• •Edge cases and failure modes
• •Optimization suggestions

• •When/how to use effectively
• •Customization options
• •Integration considerations

Key Principles

• •Always show the complete prompt — never just describe it
• •Token efficiency — concise but comprehensive
• •Production-ready — reliable, safe, optimized
• •Model-aware — tailor to target model's strengths
• •Refer to references/techniques.md for advanced technique details
• •Refer to references/model-specific-optimization-guide.md for model-specific guidance
• •Refer to references/production-patterns-and-enterprise-templates.md for enterprise patterns