prompt-optimizer SKILL.md skillA

prompt-optimizer from daymade/claude-code-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add daymade/claude-code-skills/prompt-optimizer@git:20260923.943df48

Pins git:20260923.943df48 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
daymade/claude-code-skills
Path
prompt-optimizer/SKILL.md
Versions recorded
2
Latest version
git:20260923.943df48, committed Sep 23, 2026
First version recorded
Nov 16, 2025
Size
7,845 bytes
Repository stars
1,485
License
MIT

Transforms vague prompts or feature requests into precise, testable specifications using EARS (Easy Approach to Requirements Syntax) grounded in relevant domain theories (GTD, BJ Fogg, Gestalt). Use when requirements lack triggers or measurable outcomes, or the user asks to "optimize my prompt" / "improve this requirement" / "make this more specific".

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 Optimizer

## Overview

Optimize vague prompts into precise, actionable specifications using EARS (Easy Approach to Requirements Syntax) - a Rolls-Royce methodology for transforming natural language into structured, testable requirements.

**Methodology inspired by:** This skill's approach to combining EARS with domain theory grounding was inspired by [阿星AI工作室 (A-Xing AI Studio)](https://mp.weixin.qq.com/s/yUVX-9FovSq7ZGChkHpuXQ), which demonstrated practical EARS application for prompt enhancement.

**Four-layer enhancement process:**

1. **EARS syntax transformation** - Convert descriptive language to normative specifications
2. **Domain theory grounding** - Apply relevant industry frameworks (GTD, BJ Fogg, Gestalt, etc.)
3. **Example extraction** - Surface concrete use cases with real data
4. **Structured prompt generation** - Format using Role/Skills/Workflows/Examples/Formats framework

## When to Use

Apply when:
- User provides vague feature requests ("build a dashboard", "create a reminder app")
- Requirements lack specific conditions, triggers, or measurable outcomes
- Natural language descriptions need conversion to testable specifications
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add daymade/claude-code-skills/prompt-optimizer@sha256:110cd8b5b4d00130

The line at the top of this page pins the label git:20260923.943df48, 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_wp66xmdjgb4q4fpi.svg)](https://markdownregistry.com/a/art_wp66xmdjgb4q4fpi)

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

Versions

The registry has recorded 2 versions of this file, between Nov 16, 2025 and Sep 23, 2026, about one every 311 days.

versioncommittedcommitsizeaudit
git:20260923.943df48 latest2026-09-23 943df48 7,845 BA view · diff
git:20251116.df2e6542025-11-16 df2e654 7,941 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 (7845 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

daymade/claude-code-skills · 1,485 stars · license MIT · pushed 2026-10-22 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_wp66xmdjgb4q4fpi
GET https://markdownregistry.com/api/v1/resolve?ref=daymade/claude-code-skills/prompt-optimizer
GET https://markdownregistry.com/api/v1/blob/110cd8b5b4d001306caf151a35add52a555574603556584422743bc3eb594d42

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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