brand-guideline-extraction SKILL.md skillA

brand-guideline-extraction from popjam-io/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add popjam-io/skills/brand-guideline-extraction@git:20261015.4d391ae

Pins git:20261015.4d391ae in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
popjam-io/skills
Path
skills/brand-guideline-extraction/SKILL.md
Versions recorded
3
Latest version
git:20261015.4d391ae, committed Oct 15, 2026
First version recorded
Jun 23, 2026
Size
9,680 bytes
Repository stars
5
License
MIT

Reverse-engineer a comprehensive brand style guide from a corpus of existing design assets (social posts, ad creatives, banners, decks, videos). Produces a structured guideline document plus a reusable "style prompt block" for on-brand AI image generation. Use this whenever the user wants brand guidelines, a style guide, design-language or "look and feel" analysis, brand DNA extraction, visual identity documentation, or wants AI-generated images to match an existing brand — even if they just…

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

# Brand Guideline Extraction

Reverse-engineer a brand's visual and verbal DNA from existing design assets, and codify it so a human designer or a generative pipeline can reproduce the look and feel.

The core insight: a brand guideline extracted from N assets is only as good as (a) how representative the corpus is, and (b) how rigorously you separate *rules* (what the brand always does) from *variations* (what it sometimes does) and *exceptions* (one-offs). The whole workflow is built around that separation.

Work through five phases in order. Phases 2's subagent fan-out is the expensive step; everything else is cheap.

## Phase 1 — Asset inventory

Locate the assets. Usually the user provides a folder; if they name external sources (Meta Ad Library, a website, social profiles) gather what's accessible first, but never block on missing sources — work with what exists and note coverage gaps in the final document.

Build `work/inventory.json`, one entry per asset:

```json
{"file": "path", "kind": "image|video|source_file", "width": 1080, "height": 1920,
 "format_class": "square|portrait|story|landscape", "content_type": "best guess: product-ad|announcement|seasonal|job-ad|...",
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add popjam-io/skills/brand-guideline-extraction@sha256:c68babca2771aa3a

The line at the top of this page pins the label git:20261015.4d391ae, 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_uphjbq7v5lb7c3zd.svg)](https://markdownregistry.com/a/art_uphjbq7v5lb7c3zd)

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

Versions

The registry has recorded 3 versions of this file, between Jun 23, 2026 and Oct 15, 2026, about one every 57 days.

versioncommittedcommitsizeaudit
git:20261015.4d391ae latest2026-10-15 4d391ae 9,680 BA view · diff
git:20260702.ab716102026-07-02 ab71610 9,106 BA view · diff
git:20260623.e6b7bdc2026-06-23 e6b7bdc 9,046 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 (9680 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

popjam-io/skills · 5 stars · license MIT · pushed 2026-11-03 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_uphjbq7v5lb7c3zd
GET https://markdownregistry.com/api/v1/resolve?ref=popjam-io/skills/brand-guideline-extraction
GET https://markdownregistry.com/api/v1/blob/c68babca2771aa3ab51ff895e9365bf7749ebbaf488d46b6d1cd01dfcfd2963a

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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