image-prompting SKILL.md skillA

image-prompting from arcanada-one/datarim is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add arcanada-one/datarim/image-prompting@git:20261004.8dfccd1

Pins git:20261004.8dfccd1 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
arcanada-one/datarim
Path
skills/image-prompting/SKILL.md
Versions recorded
1
Latest version
git:20261004.8dfccd1, committed Oct 4, 2026
Size
16,545 bytes
Repository stars
16
License
MIT

Author prompts for image-generation tools — covers, thumbnails, post visuals, illustrations, infographics, logos; intake→spec→prompt→verify loop.

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

# Image Prompting — Playbook for Generation Prompts

A reusable method for turning a content brief into a precise, repeatable prompt for a modern instruction-following image generator (the gpt-image family and equivalents). Load this whenever a task needs a visual asset: a blog cover, a video thumbnail, a social-post image, an inline illustration, a diagram/infographic, a logo mark, or an edit of an existing image.

This skill produces a **prompt and a verification pass**, not the image itself. It does not call any rendering API — it gives the caller the text to feed one, plus the size/quality settings to request and a checklist to judge the result.

## Core Principle

A generator renders what it can resolve from the words it is given. Two failure modes dominate: **under-specification** (it invents the parts you left blank) and **drift** (across edits or iterations, the parts you wanted kept silently change). The whole playbook is built to defeat both:

1. **Name every load-bearing decision.** Subject, medium, framing, light, palette, and any literal text are decisions — if you do not state them, the model decides for you, differently each run.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add arcanada-one/datarim/image-prompting@sha256:ed24197cbd7caa1f

The line at the top of this page pins the label git:20261004.8dfccd1, 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_kxg3bkcq727tfx24.svg)](https://markdownregistry.com/a/art_kxg3bkcq727tfx24)

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

Versions

The registry has recorded 1 version of this file, committed on Oct 4, 2026.

versioncommittedcommitsizeaudit
git:20261004.8dfccd1 latest2026-10-04 8dfccd1 16,545 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 (16545 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

arcanada-one/datarim · 16 stars · license MIT · pushed 2026-10-29 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_kxg3bkcq727tfx24
GET https://markdownregistry.com/api/v1/resolve?ref=arcanada-one/datarim/image-prompting
GET https://markdownregistry.com/api/v1/blob/ed24197cbd7caa1f15e3b3604ab20df06fced16c42aa6be808ee4351badce635

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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