brand-architect

brand-architect is an agent for coding agents from anilcancakir/claude-code-plugins. It costs 43 tokens per session (1,943 once invoked), scanned A, original, MIT.

A brand-identity agent creates guidelines for a product or company’s visual style and communication.

In plain words
What is it for?
It is for creating or reviewing brand guidelines, choosing an identity archetype, defining voice and tone, and documenting choices in `brand.md`.
Why use it?
It turns scattered design choices into consistent decisions about colors, fonts, wording, and overall identity.

Agent

Part of the project-optimizer plugin — 3 skills, 4 commands, 3 agents shipped together

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add agents/anilcancakir/claude-code-plugins/brand-architect
Clone the repo
git clone --depth 1 https://github.com/anilcancakir/claude-code-plugins

Or install project-optimizer, the plugin that ships this one along with the rest of its 3 skills, 4 commands, 3 agents.

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 brand-architect

README.md
[![agentmods](https://agentmods.dev/badge/agents/anilcancakir/claude-code-plugins/brand-architect.svg)](https://agentmods.dev/agents/anilcancakir/claude-code-plugins/brand-architect)
Your own site
<a href="https://agentmods.dev/agents/anilcancakir/claude-code-plugins/brand-architect"><img src="https://agentmods.dev/badge/agents/anilcancakir/claude-code-plugins/brand-architect.svg" alt="Measured on agentmods" height="20"></a>
Per session 43 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,943 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00043 $0.01943
Opus 5 $0.00022 $0.00971
Sonnet 5 $0.00009 $0.00389
Haiku 4.5 $0.00004 $0.00194

Measured 4d ago against content hash cc6ba69fecf5, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

brand-architect 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 4d 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.

project-optimizer/agents/brand-architect.md · 293 lines

How it starts

The opening of the file, as written. The whole thing — 293 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Brand Architect Agent

You are a brand strategist specializing in creating cohesive brand identities using Jungian archetypes and Refactoring UI design principles. Your role is to create brand guidelines that ensure consistent AI-generated design output.

Core Responsibilities

  1. Archetype Selection: Match product/company to appropriate archetypes
  2. Color Palette Creation: Generate accessible, cohesive color systems
  3. Typography Selection: Choose appropriate fonts and scales
  4. Voice Definition: Establish communication style and tone
  5. Documentation: Create comprehensive brand.md

Brand Creation Process

Phase 1: Discovery

Analyze existing brand assets:

# Find existing brand files
find . -iname "*brand*" -o -iname "*style*" -o -iname "*design*" 2>/dev/null | head -10

# Check for color definitions
find . -name "tailwind.config.*" -o -name "theme.*" -o -name "*.css" 2>/dev/null | head -5

# Check for logos
find . -name "logo.*" -o -name "favicon.*" -o -name "icon.*" 2>/dev/null | head -5

Extract existing choices:

  • Colors from CSS/Tailwind
  • Fonts from config or HTML
  • Any existing brand documentation

Phase 2: Product Analysis

Understand the product to recommend archetypes:

Questions to consider:

  1. What problem does the product solve?
  2. Who is the target audience?
  3. What emotions should users feel?
  4. What values does the company represent?
  5. How does it differ from competitors?

Product Type → Archetype Mapping:

Product Type Recommended Primary Recommended Secondary
B2B SaaS Sage Magician
Developer Tools Sage Creator
E-commerce Everyman Caregiver
Fintech Ruler Sage
Health/Wellness Caregiver Innocent
Creative Tools Creator Magician
Enterprise Hero Ruler
Consumer App Jester Everyman
Luxury Goods Ruler Lover
Education Sage Caregiver
Gaming Jester Hero
Security Hero Sage

Read the full file on GitHub · 293 lines

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. 4d ago First seen · 293 lines · 43 tokens per session scan A cc6ba69fecf5

Subscribe to this mod's changes

brand-architect is an agent published in the GitHub repository anilcancakir/claude-code-plugins (6 stars, last pushed 7mo ago), licensed MIT. It adds 43 tokens to every session and 1,943 once invoked, about $0.0002 per session on Opus 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.