prompt-engineer SKILL.md skillA

prompt-engineer from joe-qai/qa-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add joe-qai/qa-skills/prompt-engineer@v1.1.0

Pins v1.1.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
joe-qai/qa-skills
Path
prompt-engineer/SKILL.md
Versions recorded
1
Latest version
v1.1.0, committed May 15, 2026
Size
5,446 bytes
Repository stars
30
License
none declared

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…

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 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

## Core Workflow

1. **Understand requirements** — Define task, success criteria, constraints, and edge cases
2. **Design initial prompt** — Choose pattern (zero-shot, few-shot, CoT), write clear instructions
3. **Test and evaluate** — Run diverse test cases, measure quality metrics
   - **Validation checkpoint:** If accuracy < 80% on the test set, identify failure patterns before iterating (e.g., ambiguous instructions, missing examples, edge case gaps)
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add joe-qai/qa-skills/prompt-engineer@sha256:b22597ff808fa82b

The line at the top of this page pins the label v1.1.0, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_6hrhotkx2bl2guul.svg)](https://markdownregistry.com/a/art_6hrhotkx2bl2guul)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on May 15, 2026.

versioncommittedcommitsizeaudit
v1.1.0 latest2026-05-15 0de2506 5,446 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (5446 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

joe-qai/qa-skills · 30 stars · license none declared · pushed 2026-09-29 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_6hrhotkx2bl2guul
GET https://markdownregistry.com/api/v1/resolve?ref=joe-qai/qa-skills/prompt-engineer
GET https://markdownregistry.com/api/v1/blob/b22597ff808fa82b490e400df14afe346ff7a7d08b06054df65c406188bd34aa

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.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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