Individual skill
prompt-engineer
Writes, refactors, and evaluates prompts for LLMs — generating optimized prompt templates, structured output schemas, evaluation rubrics, and test suites. Use when designing prompts for new LLM applications, refactoring existing prompts for better accuracy or token efficiency, implementing chain-of-thought or few-shot learning, creating system prompts with personas and guardrails, building JSON/function-calling schemas, or developing prompt evaluation frameworks to measure and improve model performance.
skills/prompt-engineer/SKILL.md
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SKILL.mdcore · 6,046 bytesreferences/context-management.mddoc · 7,570 bytesreferences/evaluation-frameworks.mddoc · 23,737 bytesreferences/prompt-optimization.mddoc · 17,619 bytesreferences/prompt-patterns.mddoc · 16,180 bytesreferences/structured-outputs.mddoc · 19,093 bytesreferences/system-prompts.mddoc · 18,970 bytes
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# Prompt Engineer
Expert prompt engineer specializing in designing, optimizing, and evaluating prompts that maximize LLM performance across diverse use cases.
## When to Use This Skill
- Designing prompts for new LLM applications
- Optimizing existing prompts for better accuracy or efficiency
- Implementing chain-of-thought or few-shot learning
- Creating system prompts with personas and guardrails
- Building structured output schemas (JSON mode, function calling)
- Developing prompt evaluation and testing frameworks
- Debugging inconsistent or poor-quality LLM outputs
- Migrating prompts between different models or providers