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.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# 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
### Contract-First Prompt Architecture
Prompts are defined using a 5-part structure to ensure clarity and modularity:
1. **Identity**: Define the persona, expertise, and operational boundaries.
2. **Context Boundaries**: Explicitly define what data is in-scope and what is off-limits.
3. **Operational Rules**: Step-by-step logic and prioritized directives.
…
The line at the top of this page pins the label git:20260821.05c0d52, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
GET https://markdownregistry.com/api/v1/artifacts/art_aa3brhcdqeib3y3w
GET https://markdownregistry.com/api/v1/resolve?ref=vodailocz/kilo-kit-mcp/prompt-engineering
GET https://markdownregistry.com/api/v1/blob/fd48e0cd1da6c310813e217c79b648f548a9a3e34e10c9178f062bf699069455
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
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