# How to Use Image-Generation Skills with ChatGPT Images: A Complete Guide to imagegen-frontend-web and brandkit

> Master ChatGPT image generation with imagegen-frontend-web and brandkit. Use SKILL.md to enforce visual rules and palette discipline for perfect images every time.

- Repository: [Leon Lin/taste-skill](https://github.com/Leonxlnx/taste-skill)
- Tags: how-to-guide
- Published: 2026-06-01

---

**Copy the SKILL.md content from `imagegen-frontend-web` or `brandkit` into your ChatGPT Images prompt and reference the skill name to enforce strict visual rules like "one horizontal image per section" and palette discipline.**

The `taste-skill` repository provides structured **image-generation skills** that turn ChatGPT Images into a premium design assistant. By loading the `imagegen-frontend-web` or `brandkit` SKILL.md files, you constrain the LLM with hard output rules that guarantee consistent, high-fidelity visual frames without manual iteration. These skills contain pure-text prompts that the LLM treats as system-level instructions, enabling deterministic output for web comps and brand assets.

## Architecture Overview

The system relies on three core components working together to resolve skill names and enforce visual discipline.

**Skill registry** – The [`skill.sh`](https://github.com/Leonxlnx/taste-skill/blob/main/skill.sh) file maintains a Bash map that resolves skill names to their corresponding instruction files. This registry enables the CLI to locate the correct [`SKILL.md`](https://github.com/Leonxlnx/taste-skill/blob/main/SKILL.md) when you run `npx skills add`.

**Image-generation SKILL.md files** – Located at [`skills/imagegen-frontend-web/SKILL.md`](https://github.com/Leonxlnx/taste-skill/blob/main/skills/imagegen-frontend-web/SKILL.md) and [`skills/brandkit/SKILL.md`](https://github.com/Leonxlnx/taste-skill/blob/main/skills/brandkit/SKILL.md), these files contain pure-text prompts that define hard output rules (e.g., one horizontal image per section), visual DNA (hero composition bias, palette discipline), and exact prompt templates. Because they contain only natural-language directives with no executable code, ChatGPT Images can ingest them directly as behavioral constraints.

**README documentation** – The [`README.md`](https://github.com/Leonxlnx/taste-skill/blob/main/README.md) documents the CLI workflow and explains how to discover and use these skills with any image-mode LLM.

## Installation and Setup

While you can paste skill content directly into a chat, installing the skill register enables auto-discovery for agents that load skills from the filesystem.

```bash
npx skills add https://github.com/Leonxlnx/taste-skill --skill "imagegen-frontend-web"
npx skills add https://github.com/Leonxlnx/taste-skill --skill "brandkit"

```

The CLI reads [`skill.sh`](https://github.com/Leonxlnx/taste-skill/blob/main/skill.sh), maps the requested name to the correct [`SKILL.md`](https://github.com/Leonxlnx/taste-skill/blob/main/SKILL.md), and copies it into your local skill store. This step is optional for ChatGPT Images but essential for agents that auto-load skills from disk.

## Prompting Workflow

When **ChatGPT Images** receives a prompt containing a skill reference, it loads the corresponding [`SKILL.md`](https://github.com/Leonxlnx/taste-skill/blob/main/SKILL.md) and obeys its rules as system-level instructions. The workflow follows five distinct stages:

1. **Skill injection** – Either paste the full [`SKILL.md`](https://github.com/Leonxlnx/taste-skill/blob/main/SKILL.md) content or reference the skill by name.
2. **Brief provision** – Supply the variable design brief (target audience, mood, sections).
3. **Rule enforcement** – The LLM applies the skill's hard output rules (unchanging constraints).
4. **Image generation** – ChatGPT Images returns PNG or WebP frames following the strict visual DNA.
5. **Downstream consumption** – Feed the frames to `image-to-code-skill` or other tools for implementation.

### Direct Paste Method

Copy the entire contents of [`skills/imagegen-frontend-web/SKILL.md`](https://github.com/Leonxlnx/taste-skill/blob/main/skills/imagegen-frontend-web/SKILL.md) or [`skills/brandkit/SKILL.md`](https://github.com/Leonxlnx/taste-skill/blob/main/skills/brandkit/SKILL.md) directly into the conversation. The LLM treats this as a system prompt that establishes visual constraints before you provide your design brief.

### Reference by Name Method

Most image-aware agents recognize skill references using either XML-style tags or plain text patterns:

```text
<skill>imagegen-frontend-web</skill>

```

Or:

```text
follow skill: brandkit

```

The agent looks up the registered file via [`skill.sh`](https://github.com/Leonxlnx/taste-skill/blob/main/skill.sh) or its internal registry and applies the rules automatically.

## Practical Examples

### Generating Landing Pages with imagegen-frontend-web

The `imagegen-frontend-web` skill enforces strict section counting and horizontal image requirements. According to lines 6-22 of its [`SKILL.md`](https://github.com/Leonxlnx/taste-skill/blob/main/SKILL.md), it mandates one horizontal image per section with specific labeling conventions.

```text
<skill>imagegen-frontend-web</skill>

Create a premium landing page for a fintech startup called "VaultPay".
- Target audience: small-business owners
- Desired mood: trustworthy, modern, slightly bold
- Sections: hero, trust bar, features, product showcase, testimonial, pricing, CTA

Please follow the hard output rule: one horizontal image per section, labeled "Section X of 7: <name>".
Use a deep-dark palette with cyan accents and a giant-statement hero.

```

The LLM reads the **hard output rule** from the skill file and returns seven separate horizontal images, each prefixed with the requested label and following the **hero composition bias** specified in the skill's visual DNA.

### Building Brand Kits with brandkit

The `brandkit` skill defines a **default 3×3 layout** (lines 73-80 of [`SKILL.md`](https://github.com/Leonxlnx/taste-skill/blob/main/SKILL.md)) and specific visual modes for generating comprehensive brand boards.

```text
<skill>brandkit</skill>

Design a brand-kit overview for "NebulaAI", an AI-assistant platform.
- Category: voice / communication
- Core metaphor: waveform + orbital path
- Desired visual mode: dark developer / builder

Use the default 3×3 layout, dark charcoal canvas, and a cyan-orange accent palette.

```

The LLM follows the **prompt template** defined in lines 36-44 of the skill file, outputting a single 4:3 board containing logo variations, construction grids, digital mockups, color systems, and typography specimens.

### Chaining to Code Generation

You can chain image-generation skills with `image-to-code-skill` to move from visual concept to implementation:

```text
follow skill: imagegen-frontend-web

Generate a 6-section website for "EcoTravel", a sustainable travel app.

--- then ---

follow skill: image-to-code

Analyze the images you just produced and output clean HTML/CSS/React components.

```

The first block produces reference frames following the `imagegen-frontend-web` constraints; the second block triggers the downstream skill to parse those frames and emit implementation code.

## Key Configuration Files

Keep these source files accessible when working with image-generation skills:

- **[`skill.sh`](https://github.com/Leonxlnx/taste-skill/blob/main/skill.sh)** – The Bash registry that maps skill names to instruction files for CLI resolution.
- **[`skills/imagegen-frontend-web/SKILL.md`](https://github.com/Leonxlnx/taste-skill/blob/main/skills/imagegen-frontend-web/SKILL.md)** – Contains hard rules, composition biases, and section-count logic for web comps.
- **[`skills/brandkit/SKILL.md`](https://github.com/Leonxlnx/taste-skill/blob/main/skills/brandkit/SKILL.md)** – Defines brand-kit board structure, visual modes, and layout templates.
- **[`README.md`](https://github.com/Leonxlnx/taste-skill/blob/main/README.md)** – Central documentation covering installation commands and ChatGPT Images integration tips.
- **[`skills/image-to-code-skill/SKILL.md`](https://github.com/Leonxlnx/taste-skill/blob/main/skills/image-to-code-skill/SKILL.md)** – Optional pipeline component for converting generated images to code.

## Summary

- **Image-generation skills** are pure-text prompt files that constrain ChatGPT Images with hard output rules and visual DNA.
- **Installation** via `npx skills add` is optional for ChatGPT Images but required for filesystem-based agents.
- **Activation** works by either pasting the full [`SKILL.md`](https://github.com/Leonxlnx/taste-skill/blob/main/SKILL.md) content or referencing the skill name (`imagegen-frontend-web` or `brandkit`) in your prompt.
- **Consistency** is guaranteed through immutable rules like "one horizontal image per section" for web comps or "3×3 layout" for brand kits.
- **Chaining** skills allows you to generate visual frames and immediately convert them to HTML, CSS, or React components using `image-to-code-skill`.

## Frequently Asked Questions

### Do I need to install anything to use these skills with ChatGPT Images?

No installation is required for ChatGPT Images. You can copy the entire contents of [`skills/imagegen-frontend-web/SKILL.md`](https://github.com/Leonxlnx/taste-skill/blob/main/skills/imagegen-frontend-web/SKILL.md) or [`skills/brandkit/SKILL.md`](https://github.com/Leonxlnx/taste-skill/blob/main/skills/brandkit/SKILL.md) directly into your conversation. However, running `npx skills add` registers the skill in your local filesystem, which is necessary if you are using agents that auto-load skills from disk rather than accepting pasted instructions.

### What is the difference between imagegen-frontend-web and brandkit?

**imagegen-frontend-web** is optimized for multi-section website wireframes and enforces rules like "one horizontal image per section" with strict section counting (lines 6-22 of its SKILL.md). **brandkit** generates single-board brand identity overviews using a default 3×3 layout (lines 73-80) and focuses on logo systems, color palettes, and typography grids. Choose the former for page-level UI and the latter for identity systems.

### Can I modify the hard output rules in the SKILL.md files?

Yes, because the skills are open-source text files hosted in the `Leonxlnx/taste-skill` repository. You can fork the repository and edit the hard output rules in [`skills/imagegen-frontend-web/SKILL.md`](https://github.com/Leonxlnx/taste-skill/blob/main/skills/imagegen-frontend-web/SKILL.md) or [`skills/brandkit/SKILL.md`](https://github.com/Leonxlnx/taste-skill/blob/main/skills/brandkit/SKILL.md) to customize section counts, aspect ratios, or palette constraints. Your modified skill can then be loaded via `npx skills add` using your fork's URL.

### How do I convert the generated images into actual code?

After generating images with `imagegen-frontend-web`, reference the `image-to-code-skill` in a follow-up prompt. This skill (located at [`skills/image-to-code-skill/SKILL.md`](https://github.com/Leonxlnx/taste-skill/blob/main/skills/image-to-code-skill/SKILL.md)) instructs the LLM to analyze the visual frames and output clean HTML, CSS, or React components that replicate the design, effectively bridging the gap between visual concept and implementation.