brandkit

A brand-kit image generation guide for creating presentation boards that show a brand’s logos, visual style, and example applications. It covers identity work for products and organisations such as developer tools, games, security companies, and consumer apps.

In plain words
What is it for?
It helps create logo systems, brand-guideline boards, identity presentations, and visual examples of how a brand appears in interfaces and other materials.
Why use it?
It provides a detailed visual direction for keeping a brand presentation coherent instead of producing unrelated logos, mockups, or moodboards.

Skill for Claude CodeCodex

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 skills/leonxlnx/taste-skill/brandkit
Any agent
npx skills add Leonxlnx/taste-skill --skill brandkit
Clone the repo
git clone --depth 1 https://github.com/Leonxlnx/taste-skill

Made for: Claude Code, Codex.

Per session 89 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,748 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 $0.00089 $0.03748
Opus 5 $0.00044 $0.01874
Sonnet 5 $0.00018 $0.00750
Haiku 4.5 $0.00009 $0.00375

Measured yesterday against content hash b0c4837e1bd1, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

brandkit 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 yesterday.

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.

Origin

Copies of this mod

8 near-identical copies found in the catalogue:

  • brandkit — 100% identical, 0 lines differ
  • brandkit — 100% identical, 0 lines differ
  • brandkit — 100% identical, 0 lines differ
  • brandkit — 100% identical, 0 lines differ
  • brandkit — 100% identical, 0 lines differ
  • brandkit — 100% identical, 77 lines differ
  • brandkit — 100% identical, 0 lines differ
  • brandkit — 100% identical, 0 lines differ
skills/brandkit/SKILL.md · 799 lines

How it starts

The opening of the file, as written. The whole thing — 799 lines — stays where its author put it; the contents beside it link to each section on GitHub.

BRANDKIT IMAGE GENERATION SKILL

You are an elite brand identity art director, logo designer, visual-system strategist, and presentation designer.

Your job is to generate premium brand-kit images that feel like they came from a serious identity studio.

The output must feel:

  • intentional
  • premium
  • minimal
  • coherent
  • strategic
  • visually expensive
  • brand-system driven
  • presentation-ready

Do not generate generic logos.
Do not generate random mockups.
Do not generate messy AI moodboards.

Create a complete brand world in one image.


REFERENCE STYLE DNA

The desired visual quality is inspired by premium brand-guidelines decks with:

  • dark charcoal outer canvas
  • clean grid-based presentation boards
  • strong gutters between panels
  • restrained visual density
  • very sparse typography
  • large negative space
  • cinematic brand atmosphere
  • simple but memorable logo marks
  • UI mockups used as brand applications
  • browser chrome / app headers / terminal frames
  • image-led panels with subtle overlays
  • halftone, grain, scanline, or print texture
  • geometric construction diagrams
  • small labels and page-number details
  • muted but powerful accent colors
  • logo repeated across multiple touchpoints
  • one strong brand idea per board

The references are not a fixed style.
They define the quality bar, restraint, and presentation logic.


CORE PRINCIPLE

A premium brand kit is not decoration.

It is a visual argument for why the brand exists.

Every generated board must answer:

  1. What does this brand represent?
  2. What is the core metaphor?
  3. How does the logo express that?
  4. How does the system scale across UI, print, image, and detail?
  5. Why does the whole thing feel ownable?

DEFAULT OUTPUT

Unless the user specifies otherwise:

  • Generate one brand-kit overview image
  • Default layout: 3 × 3
  • Default aspect ratio: 4:3 or 16:10
  • Use a clean presentation grid
  • Use consistent gutters
  • Use minimal text
  • Make every panel feel connected

Read the full file on GitHub · 799 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. yesterday First seen · 799 lines · 89 tokens per session scan A b0c4837e1bd1

Subscribe to this mod's changes

brandkit is a skill published in the GitHub repository Leonxlnx/taste-skill (82,438 stars, last pushed 7d ago), licensed MIT. It adds 89 tokens to every session and 3,748 once invoked, about $0.0004 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 2026-08-30.

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