prompt-engineering

name	prompt-engineering
description	Write effective prompts for LLMs — structure, few-shot examples, chain-of-thought, system prompts, and output parsing.
user-invocable	true

When to use

• Designing or refining prompts for LLM tasks (classification, generation, extraction)
• User asks for better prompts, few-shot examples, or structured output formats
• Building system prompts, guardrails, or output parsers for agent workflows

On-demand loading: Read this skill only when the task clearly matches the description above or trigger phrases below. Do not load for unrelated work.

Prompt Engineering

Write prompts that get reliable, high-quality output from LLMs.

Workflow

1. Define the task, desired output format, and failure modes
2. Pick techniques from references/techniques-and-patterns.md (system prompt, few-shot, CoT, structured output)
3. Draft a focused prompt with 1–2 examples when format matters
4. Test edge cases; iterate — prompts are code

References

File	Contents
references/techniques-and-patterns.md	Core principles, system/few-shot/CoT/structured prompts, code patterns, anti-patterns, tips