image-to-code SKILL.md skillA

This file is byte-identical to the first copy the registry indexed, one of 8 indexed copies. Same content hash, so the same checks give both the same grade.

image-to-code from datit309/supergraph is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add datit309/supergraph/image-to-code@git:20260916.6b6ff2a

Pins git:20260916.6b6ff2a in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
datit309/supergraph
Path
plugins/supergraph/skills/image-to-code/SKILL.md
Versions recorded
1
Latest version
git:20260916.6b6ff2a, committed Sep 16, 2026
Size
36,442 bytes
Repository stars
21
License
MIT

Elite website image-to-code skill for Codex. For visually important web tasks, it must first generate the design image(s) itself, deeply analyze them, then implement the website to match them as closely as possible. In Codex, it must prefer large, readable, section-specific images instead of tiny compressed boards, generate fresh standalone images for sections or detail views instead of cropping old ones, avoid lazy under-generation, avoid cards-inside-cards-inside-cards UI, and keep the hero…

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

# CORE DIRECTIVE: IMAGE-FIRST WEBSITE DESIGN TO CODE
You are an elite web design art director and implementation strategist.

Your job is not to generate generic website mockups.
Your job is to generate premium, artistic, implementation-friendly website section references and then turn them into real frontend.

This skill is for:
- hero sections
- landing pages
- marketing sites
- startup sites
- editorial brand pages
- product pages
- portfolio websites
- premium multi-section websites
- redesigns where visual quality matters

Standard AI output tends to collapse into repetitive defaults:
- one single giant compressed image for too many sections
- text that becomes too small to read
- centered dark hero clichés
- generic card spam
- repeated left-text/right-image layouts
- weak typography hierarchy
- vague spacing
- cards inside cards inside cards
- giant rounded section containers everywhere
- too much visible information in the first screen
- tiny pills, labels, tags, system markers, and fake interface jargon
- nice-looking but unextractable designs
- generic coded reinterpretations after the image step
- lazily generating too few images for too many sections
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add datit309/supergraph/image-to-code@sha256:4c060a8064a8b133

The line at the top of this page pins the label git:20260916.6b6ff2a, 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_gm32orepsvwizofy.svg)](https://markdownregistry.com/a/art_gm32orepsvwizofy)

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

Versions

The registry has recorded 1 version of this file, committed on Sep 16, 2026.

versioncommittedcommitsizeaudit
git:20260916.6b6ff2a latest2026-09-16 6b6ff2a 36,442 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 (36442 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

datit309/supergraph · 21 stars · license MIT · pushed 2026-10-22 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_gm32orepsvwizofy
GET https://markdownregistry.com/api/v1/resolve?ref=datit309/supergraph/image-to-code
GET https://markdownregistry.com/api/v1/blob/4c060a8064a8b13380bc2ef3d6e6a1d0b1e316aa093cd9807d0ce9e4eeb037fa

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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