Agent skill

Generate Image

by happycapy-ai in happycapy-ai/Happycapy-skills

Generate and transform images using AI Gateway API. An agent skill from happycapy-ai/Happycapy-skills.

Install Generate Image

skills CLI

$ npx skills add happycapy-ai/Happycapy-skills --skill generate-image -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install happycapy-ai/Happycapy-skills generate-image --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/happycapy-ai/Happycapy-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/generate-image .claude/skills/generate-image && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "generate-image" agent skill from https://github.com/happycapy-ai/Happycapy-skills/tree/main/skills/generate-image into .claude/skills/generate-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generate-image", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/happycapy-ai/Happycapy-skills/tree/main/skills/generate-image

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add happycapy-ai/Happycapy-skills --skill generate-image -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install happycapy-ai/Happycapy-skills generate-image --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/happycapy-ai/Happycapy-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/generate-image .agents/skills/generate-image && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "generate-image" agent skill from https://github.com/happycapy-ai/Happycapy-skills/tree/main/skills/generate-image into .agents/skills/generate-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generate-image", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add happycapy-ai/Happycapy-skills --skill generate-image -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install happycapy-ai/Happycapy-skills generate-image --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/happycapy-ai/Happycapy-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/generate-image .cursor/skills/generate-image && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "generate-image" agent skill from https://github.com/happycapy-ai/Happycapy-skills/tree/main/skills/generate-image into .cursor/skills/generate-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generate-image", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/happycapy-ai/Happycapy-skills.git --path skills/generate-image

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add happycapy-ai/Happycapy-skills --skill generate-image -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install happycapy-ai/Happycapy-skills generate-image --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/happycapy-ai/Happycapy-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/generate-image .gemini/skills/generate-image && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "generate-image" agent skill from https://github.com/happycapy-ai/Happycapy-skills/tree/main/skills/generate-image into .gemini/skills/generate-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generate-image", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install happycapy-ai/Happycapy-skills generate-image

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add happycapy-ai/Happycapy-skills --skill generate-image -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/happycapy-ai/Happycapy-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/generate-image .github/skills/generate-image && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "generate-image" agent skill from https://github.com/happycapy-ai/Happycapy-skills/tree/main/skills/generate-image into .github/skills/generate-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generate-image", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add happycapy-ai/Happycapy-skills --skill generate-image -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install happycapy-ai/Happycapy-skills generate-image --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/happycapy-ai/Happycapy-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/generate-image .opencode/skills/generate-image && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "generate-image" agent skill from https://github.com/happycapy-ai/Happycapy-skills/tree/main/skills/generate-image into .opencode/skills/generate-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generate-image", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: generate-image
GitHub stars: 137
Token cost: ~2k tokens
SKILL.md length: 635 words
Files: 4 (incl. scripts)
Skills in repo: 28
Repo updated: Sep 3, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Generate and transform images using AI Gateway API. An agent skill from happycapy-ai/Happycapy-skills.

Works in 3 steps: generate_image.py → transform_image.py → batch_generate.py
The user asks to create
SKILL.md covers Overview, Prerequisites, Quick Start and Supported Models, plus 8 more sections
Runs Python scripts from its folder; calls python3; reaches trickle.so; needs AI_GATEWAY_API_KEY

What it does

Generate Image is an agent skill from happycapy-ai/Happycapy-skills. Generate and transform images using AI Gateway API. Use when the user asks to create, generate, produce, or transform images, or work with image generation.

Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts (for example `scripts/batch_generate.py`, `scripts/generate_image.py` and `scripts/transform_image.py`).

It sits in Media & Creative, covering Image generation. It works with OpenAI, Google Gemini and Vertex AI. The repository describes itself as: A curated collection of high-quality Claude Code skills to enhance your development workflow. The licence is MIT.

When your agent uses it

The user asks to create
Transform images
Work with image generation

Example prompts

“/generate-image”

Requirements

Python 3
A credential in AI_GATEWAY_API_KEY
Pre-approved tools (allowed-tools): Bash, Read

Workflow steps

3 steps, taken from the step headings in SKILL.md.

generate_image.py
transform_image.py
batch_generate.py

What it can do on your machine

Read from SKILL.md and the folder at commit 9ff72fe. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
- Bash
- Read
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 3 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
- python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
- trickle.so
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
- AI_GATEWAY_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Generate Image loads about 2k tokens when it runs. Until then it costs about 43 tokens; SKILL.md has 635 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~43
When it runs · the whole SKILL.md, loaded when a task matches: ~2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
```
allowed-tools: Bash, Read
```

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from happycapy-ai/Happycapy-skills at commit 9ff72fe, republished under its MIT licence (© happycapy-ai). 635 words, ~1,952 tokens.

Download SKILL.mdSave it as .claude/skills/generate-image/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.

name: generate-image
description: Generate and transform images using AI Gateway API. Use when the user asks to create, generate, produce, or transform images, or work with image generation.
allowed-tools: Bash, Read

Image Generation Skill

Generate images from text prompts and transform existing images using the AI Gateway API with support for multiple AI models including Google Gemini, Byteplus Seedream, and OpenAI GPT-Image.

Overview

This Skill enables Claude to generate images from text descriptions and transform existing images with AI-powered modifications. It uses the AI Gateway API which routes requests to appropriate providers based on the model selected.

Prerequisites

Required Environment Variable:

AI_GATEWAY_API_KEY: Your AI Gateway API key

If this environment variable is not set, the scripts will fail with an error message asking you to provide it.

Quick Start

Generate an Image from Text

Use the bundled script to generate images from text descriptions:

bash

python3 scripts/generate_image.py "A serene landscape with mountains and a lake at sunset, photorealistic style"

Transform an Existing Image

Apply transformations to existing images using reference URLs:

bash

python3 scripts/transform_image.py "Make this image more vibrant and add dramatic lighting" "https://example.com/image.jpg"

Supported Models

Image Generation Models

Model	Provider	Best For
`google/gemini-3.1-flash-image-preview`	Google Vertex AI	Latest fast image generation with improved quality
`google/gemini-3-pro-image-preview`	Google Vertex AI	High-quality photorealistic images
`google/gemini-2.5-flash-image`	Google Vertex AI	Fast image generation
`byteplus/seedream-4-5`	Byteplus Seedream	Creative artistic styles
`byteplus/seedream-4-0`	Byteplus Seedream	General purpose image generation
`openai/gpt-image-1`	OpenAI	Advanced image synthesis
`openai/gpt-image-1-mini`	OpenAI	Quick image generation
`openai/gpt-image-1.5`	OpenAI	Enhanced image synthesis
`openai/gpt-image-2`	OpenAI	Latest generation, multi-aspect ratio support

API Parameters

Image Generation

prompt (required): Text description of the desired image
model (required): Model to use for generation
images (optional): Array of reference image URLs for image-to-image transformation
response_format (optional): "url" (default) or "b64_json"
n (optional): Number of images to generate (default: 1)
size (optional): Image dimensions (e.g., "1024x1024", "1792x1024", "1024x1792", "1536x1024", "1024x1536")
aspectRatio (optional): Aspect ratio — alternative to size. Supported values: "1:1", "16:9", "9:16", "3:2", "2:3", "4:3", "3:4", "3:1", "1:3"
background (optional, OpenAI models only): "transparent" | "opaque" | "auto" — controls background transparency
user (optional): User identifier for tracking

OpenAI gpt-image-2 / gpt-image-1.5 Parameters

These models support the full parameter set above. Key notes:

Supports all aspect ratios via aspectRatio field
Supports background: "transparent" for PNG output with transparency
Use response_format: "b64_json" to receive raw image data; use "url" for a hosted URL
Image editing (passing images) routes to the /images/edits endpoint automatically

Bundled Scripts

1. generate_image.py

Generate images from text prompts with customizable parameters.

Usage:

bash

python3 scripts/generate_image.py "prompt" [--model MODEL] [--output OUTPUT] [--format FORMAT]

Options:

--model: Model to use (default: google/gemini-3.1-flash-image-preview)
--output: Output file path (default: generated_image.png)
--format: Response format - "url" or "b64_json" (default: b64_json)

Example:

bash

python3 scripts/generate_image.py \
  "A futuristic city with flying cars at night, cyberpunk style" \
  --model "google/gemini-3.1-flash-image-preview" \
  --output "city.png"

2. transform_image.py

Transform existing images using AI with text instructions.

Usage:

bash

python3 scripts/transform_image.py "prompt" "image_url" [--model MODEL] [--output OUTPUT]

Example:

bash

python3 scripts/transform_image.py \
  "Make this image more vibrant and add dramatic sunset lighting" \
  "https://example.com/original.jpg" \
  --output "enhanced.png"

3. batch_generate.py

Generate multiple images in batch.

Usage:

bash

python3 scripts/batch_generate.py prompts.txt [--model MODEL]

Example prompts.txt:

A sunset over the ocean
A mountain landscape at dawn
A bustling city street at night

Show full SKILL.md (264 more words)Show less

Implementation Notes

When implementing image generation tasks:

Always use JavaScript for API calls when writing custom code

Check for API Key at the start:

javascript

const apiKey = process.env.AI_GATEWAY_API_KEY;
if (!apiKey) {
  throw new Error('AI_GATEWAY_API_KEY environment variable is required. Please set it with your AI Gateway API key.');
}

Use the bundled Python scripts for quick generation tasks rather than writing custom code
Include Origin header in all API requests: Set Origin: https://trickle.so header for proper request routing
Handle both streaming and non-streaming responses appropriately
Save generated images to appropriate file paths and inform the user

JavaScript Implementation Template

When you need to write custom JavaScript code for image generation:

javascript

const apiKey = process.env.AI_GATEWAY_API_KEY;
if (!apiKey) {
  throw new Error('AI_GATEWAY_API_KEY environment variable is required. Please set it with your AI Gateway API key.');
}

const API_BASE = `${process.env.AI_GATEWAY_BASE_URL}/api/v1`;

async function generateImage(prompt, model = 'google/gemini-3.1-flash-image-preview') {
  const response = await fetch(`${API_BASE}/images/generations`, {
    method: 'POST',
    headers: {
      'Content-Type': 'application/json',
      'Authorization': `Bearer ${apiKey}`,
      'Origin': 'https://trickle.so'
    },
    body: JSON.stringify({
      model,
      prompt,
      response_format: 'url'
    })
  });

  if (!response.ok) {
    throw new Error(`API request failed: ${response.status} ${response.statusText}`);
  }

  return await response.json();
}

// Use the function
const result = await generateImage('A beautiful sunset over mountains');
console.log('Generated image URL:', result.data[0].url);

Error Handling

All scripts include comprehensive error handling for:

Missing API key
Network failures
Invalid responses
File I/O errors

Errors will include helpful messages to guide troubleshooting.

Best Practices

Be Specific in Prompts: Include style, mood, lighting, and composition details
Use Appropriate Models: Choose models based on your quality vs. speed requirements
Reference Images: Use image-to-image transformation for style transfer or modifications
Batch Processing: Use the batch script for multiple generations to save time
Save Outputs: Always specify meaningful output file names for organization

Troubleshooting

"AI_GATEWAY_API_KEY environment variable is required"

Set the environment variable before running scripts:

bash

export AI_GATEWAY_API_KEY="your-api-key-here"

Network Errors

Check your internet connection and verify the API Gateway is accessible.

Invalid Model Errors

Ensure you're using a valid model name from the supported models list above.

Additional Resources

For more details on API parameters and response formats, see the API documentation at the AI Gateway repository.

Files

SKILL.md and 3 other files (scripts) in skills/generate-image of happycapy-ai/Happycapy-skills.

SKILL.md
scripts/batch_generate.py
scripts/generate_image.py
scripts/transform_image.py

Open the folder on GitHubat commit 9ff72fe

Compare with similar skills

Generate Image next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Generate Image compared with similar skills
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Generate Image this skillhappycapy-ai/Happycapy-skills	137	—	~2k	Automated safety check: Notes	MIT	1 mo ago
Nano Banana Pro Prompts Recommend SkillYouMind-OpenLab/nano-banana-pro-prompts-recommend-skill	1.9k	1 repos	~4.1k	Automated safety check: Pass	None	today
AI Image Creatorcentminmod/my-claude-code-setup	2.7k	—	~8.1k	Automated safety check: Notes	MIT	2 days ago
Chatgpt Image Adkrusemediallc/arcads-claude-code	1.6k	—	~2.7k	Automated safety check: Notes	MIT	17 days ago
Zy Cinematic Realismpopopo-99/zy-cinematic-realism	570	—	~4.6k	Automated safety check: Pass	CC-BY-NC-4.0	6 days ago
Image GenerationNegai-ai/AgentClaw	330	—	~1.9k	Automated safety check: Notes	Apache-2.0	4 mo ago

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Works with

Questions about Generate Image

What does Generate Image do?

Generate and transform images using AI Gateway API. An agent skill from happycapy-ai/Happycapy-skills. Generate Image is an agent skill from happycapy-ai/Happycapy-skills. Generate and transform images using AI Gateway API.

When should I use Generate Image?

Generate Image fits situations like: the user asks to create; transform images; work with image generation.

How do I install Generate Image in Claude Code?

Run `npx skills add happycapy-ai/Happycapy-skills --skill generate-image -a claude-code`. Or copy the skill folder (skills/generate-image in happycapy-ai/Happycapy-skills) into .claude/skills/generate-image in your project. Claude Code loads it when a task matches its description.

How do I install Generate Image in Codex?

Run `npx skills add happycapy-ai/Happycapy-skills --skill generate-image -a codex`. Or copy the skill folder (skills/generate-image in happycapy-ai/Happycapy-skills) into .agents/skills/generate-image in your project. Codex loads it when a task matches its description.

Can I use Generate Image in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add happycapy-ai/Happycapy-skills --skill generate-image -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/generate-image, .gemini/skills/generate-image, .github/skills/generate-image and .opencode/skills/generate-image in your project.

What does Generate Image need to run?

Going by SKILL.md and its folder, Generate Image needs Python for the scripts in its folder, the command-line tools its instructions call (python3) and credentials named AI_GATEWAY_API_KEY. Our summary lists: Python 3; A credential in AI_GATEWAY_API_KEY. Its frontmatter pre-approves these tools: Bash, Read.

Does Generate Image access the network?

SKILL.md names 1 domain. In commands or code: trickle.so; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Generate Image safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Generate Image use?

Generate Image is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Generate Image use?

About 2k tokens (SKILL.md is roughly 7.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Generate Image?

Skills that share tags, products or a category with Generate Image: Nano Banana Pro Prompts Recommend Skill (YouMind-OpenLab/nano-banana-pro-prompts-recommend-skill, 1.9k stars), AI Image Creator (centminmod/my-claude-code-setup, 2.7k stars), Chatgpt Image Ad (krusemediallc/arcads-claude-code, 1.6k stars) and Zy Cinematic Realism (popopo-99/zy-cinematic-realism, 570 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Generate Image?

happycapy-ai (a GitHub user) maintains it in happycapy-ai/Happycapy-skills, which has 137 GitHub stars. The repository holds 28 skills in this directory. The repository was last updated on September 3, 2026.

Source: happycapy-ai/Happycapy-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Generate Image

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Image Generation Skill

Overview

Prerequisites

Quick Start

Generate an Image from Text

Transform an Existing Image

Supported Models

Image Generation Models

API Parameters

Image Generation

OpenAI gpt-image-2 / gpt-image-1.5 Parameters

Bundled Scripts

1. generate_image.py

2. transform_image.py

3. batch_generate.py

Implementation Notes

JavaScript Implementation Template

Error Handling

Best Practices

Troubleshooting

"AI_GATEWAY_API_KEY environment variable is required"

Network Errors

Invalid Model Errors

Additional Resources

Files

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