Individual skill
prompt-engineering-pro
Prompt engineering guidance — system prompts, few-shot, chain-of-thought, structured output, and evaluation-driven iteration.
skills/prompt-engineering-pro/SKILL.md
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## Overview
Prompt engineering is programming in natural language: the discipline of getting reliable behavior from LLMs through instruction design, examples, and structure. It matters most where reliability matters — production features, not demos. The core loop is: hypothesize, test on evals, measure, iterate.
This skill covers the techniques that actually move reliability: system prompt design, few-shot examples, chain-of-thought, structured outputs, and the evaluation-driven workflow that replaces vibes with measurement.
## When to use
- Writing system prompts for production features.
- Improving LLM task reliability.
- Choosing few-shot vs fine-tuning.
- Getting structured/JSON output reliably.
- Debugging prompt failures.
- Setting up prompt evaluation and iteration.