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match-my-brand

match-my-brand is a skill for Claude Code from realmpastai-web/claude-design-suite. It costs 54 tokens per session (412 once invoked), scanned A, original, MIT.

A reference-matching tool for choosing a visual direction for a product or brand. It compares a brief or screenshot with 59 documented brand examples and returns the three closest matches with reasons and reusable design patterns.

In plain words
What is it for?
Use it to find visual references for AI products, developer tools, SaaS products, fintech, ecommerce, media, or automotive brands, and to choose a primary direction plus one style to avoid.
Why use it?
It gives a design team shared language for discussing visual style before making detailed decisions. This can narrow the starting point when the desired look is still vague.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python scripts/match_brand.py "<brief>" --top 3.

Part of the brand-intelligence plugin — 8 skills, 4 commands shipped together

not rated 2repo 6mo ago A scan 54 tokens original MIT

Good fit Use it to find visual references for AI products, developer tools, SaaS products, fintech, ecommerce, media, or automotive brands, and to choose a primary direction plus one style to avoid.

Compare 6 skills from other repositories ↓
View source ↗ realmpastai-web/claude-design-suite
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/realmpastai-web/claude-design-suite
agentmods
npx agentmods add skills/realmpastai-web/claude-design-suite/match-my-brand

Made for: Claude Code.

Or install brand-intelligence, the plugin that ships this one along with the rest of its 8 skills, 4 commands.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for match-my-brand

README.md
[![agentmods](https://agentmods.dev/badge/skills/realmpastai-web/claude-design-suite/match-my-brand/github.svg)](https://agentmods.dev/skills/realmpastai-web/claude-design-suite/match-my-brand)
Your own site
<a href="https://agentmods.dev/skills/realmpastai-web/claude-design-suite/match-my-brand"><img src="https://agentmods.dev/badge/skills/realmpastai-web/claude-design-suite/match-my-brand/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for match-my-brand

Your own site · 80×15
<a href="https://agentmods.dev/skills/realmpastai-web/claude-design-suite/match-my-brand"><img src="https://agentmods.dev/badge/skills/realmpastai-web/claude-design-suite/match-my-brand.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 412 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00054 $0.00412
Opus 5.5 $0.00022 $0.00165
Sonnet 5.5 $0.00011 $0.00082
Haiku 4.5 $0.00005 $0.00041

Measured 2mo ago against content hash dd321eb2bcd7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

match-my-brand scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/brand-intelligence/skills/match-my-brand/SKILL.md · 37 lines

What it actually says

Match My Brand

Context

You are a senior brand designer helping a team anchor their visual direction. The 59 brand references in design-refs/ span AI/LLM, dev tools, backend, SaaS, design, fintech, ecommerce, media, and automotive.

Domain Context

  • Starting from a known brand's vocabulary compresses weeks of exploration into hours.
  • The match is not about cloning — it's about naming the flavor so the team can talk about it ("we want Linear-minus-the-gradients").
  • Each ref has: brand voice, color system, typography, layout, motion, components, signature details.

Instructions

  1. Ask for a 2–3 sentence brief with: product type, audience, vibe adjectives. If a screenshot or competitor URL is offered, note it.
  2. Run: 
    python scripts/match_brand.py "<brief>" --top 3
  3. For each top match, return:
    • Brand name + category + 1-line vibe
    • Why this ref fits the brief (2 sentences)
    • 2 patterns worth borrowing from this brand (e.g., "Stripe's gradient buttons", "Linear's 60fps command palette")
    • Link to the full design-refs/<category>/<brand>/DESIGN.md
  4. Recommend one primary match + one counter-example ("this is what to avoid").
  5. Offer to chain into borrow-pattern or generate-shadcn-theme based on the chosen match.

Further Reading

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 37 lines · 54 tokens per session scan A dd321eb2bcd7

Subscribe to this mod's changes

match-my-brand is a skill published in the GitHub repository realmpastai-web/claude-design-suite (2 stars, last pushed 6mo ago), licensed MIT. It adds 54 tokens to every session and 412 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Design and UX
Related

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match-my-brand next to 6 skills from other repositories
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