llm-prompt-optimizer SKILL.md skillA

This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.

llm-prompt-optimizer from hybridlabor-api/aos is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add hybridlabor-api/aos/llm-prompt-optimizer@git:20260827.e9312a3

Pins git:20260827.e9312a3 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
hybridlabor-api/aos
Path
skills/global_config/llm-prompt-optimizer/SKILL.md
Versions recorded
2
Latest version
git:20260827.e9312a3, committed Aug 27, 2026
First version recorded
Jul 27, 2026
Size
6,467 bytes
Repository stars
6
License
Apache-2.0

Use when improving prompts for any LLM. Applies proven prompt engineering techniques to boost output quality, reduce hallucinations, and cut token usage.

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

# LLM Prompt Optimizer

## Overview

This skill transforms weak, vague, or inconsistent prompts into precision-engineered instructions that reliably produce high-quality outputs from any LLM (Claude, Gemini, GPT-4, Llama, etc.). It applies systematic prompt engineering frameworks — from zero-shot to few-shot, chain-of-thought, and structured output patterns.

## When to Use This Skill

- Use when a prompt returns inconsistent, vague, or hallucinated results
- Use when you need structured/JSON output from an LLM reliably
- Use when designing system prompts for AI agents or chatbots
- Use when you want to reduce token usage without sacrificing quality
- Use when implementing chain-of-thought reasoning for complex tasks
- Use when prompts work on one model but fail on another

## Step-by-Step Guide

### 1. Diagnose the Weak Prompt

Before optimizing, identify which problem pattern applies:

| Problem | Symptom | Fix |
|---------|---------|-----|
| Too vague | Generic, unhelpful answers | Add role + context + constraints |
| No structure | Unformatted, hard-to-parse output | Specify output format explicitly |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add hybridlabor-api/aos/llm-prompt-optimizer@sha256:a14431b1d3948558

The line at the top of this page pins the label git:20260827.e9312a3, 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_7n2pmxl6ytzd42ul.svg)](https://markdownregistry.com/a/art_7n2pmxl6ytzd42ul)

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

Versions

The registry has recorded 2 versions of this file, between Jul 27, 2026 and Aug 27, 2026, about one every 31 days.

versioncommittedcommitsizeaudit
git:20260827.e9312a3 latest2026-08-27 e9312a3 6,467 BA view · diff
git:20260727.48beb342026-07-27 48beb34 6,449 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 (6467 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

hybridlabor-api/aos · 6 stars · license Apache-2.0 · pushed 2026-11-05 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_7n2pmxl6ytzd42ul
GET https://markdownregistry.com/api/v1/resolve?ref=hybridlabor-api/aos/llm-prompt-optimizer
GET https://markdownregistry.com/api/v1/blob/a14431b1d39485583481ae997fcb6f736c00631125b1b0f8db65a1e3b5d7d418

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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Every file in hybridlabor-api/aos

Other files named llm-prompt-optimizer

llm-prompt-optimizer SKILL.md skill
hybridlabor-api/bdb-dev-optimized-agent-skills · skills/global_config/llm-prompt-optimizer/SKILL.md · Use when improving prompts for any LLM. Applies proven prompt engineering techniques to boost output quality, reduce…
git:20260827.e9312a3 · audit A · 7 stars

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