Individual skill
prompt-engineering
Use when designing, optimizing, testing, or deploying robust prompt systems for AI agents. This skill provides frameworks for structured prompt engineering, meta-prompting, and automated optimization workflows.
skills/engineering/prompt-engineering/SKILL.md
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SKILL.mdcore · 4,031 bytes
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# Prompt Engineering Skill
## Overview
The `prompt-engineering` skill establishes a disciplined approach to LLM instruction design within the KILO-KIT ecosystem. Moving beyond ad-hoc prompting, this skill treats prompts as first-class code, emphasizing contract-based structures, declarative signatures, and rigorous validation loops to ensure reproducible, high-quality AI behavior.
## When To Use
- When developing new LLM-powered features or agents.
- When existing prompts produce inconsistent, fragile, or hallucinated outputs.
- When implementing complex reasoning tasks that require strict output formatting.
- When you need to scale prompt maintenance across a team or large codebase.
- When setting up automated prompt optimization or regression testing pipelines.
## Core Concepts
