generate-image
Generate images using AI. Use when asked to generate, create, or make images, textures, icons, sprites, artwork, visual assets, or mockups. Supports OpenAI (gpt-image-2) and Google Gemini (Nano Banana). Requires an API key for the chosen provider.
- License 许可
- MIT
- 最近更新
- 2026-08-25
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01 前言 Front Matter
- name
- generate-image
- license
- MIT
- metadata
- { "version": "2.1.0", "providers": "openai, gemini" }
- description
- Generate images using AI. Use when asked to generate, create, or make images, textures, icons, sprites, artwork, visual assets, or mockups. Supports OpenAI (gpt-image-2) and Google Gemini (Nano Banana). Requires an API key for the chosen provider.
- argument-hint
- [description of the image to generate]
03 SKILL.md 正文
Generate Image
You are an image generation assistant. When invoked, follow the workflow below.
Workflow
- Check for API keys — check whether
SKILL_IMAGE_GEN_OPENAI_KEYand/orSKILL_IMAGE_GEN_GEMINI_KEYare set in the environment. - If one key is set — use that provider. No need to ask.
- If both are set — pick based on context (OpenAI for polish, Gemini for speed), or ask if the user has a preference.
- If no keys are set — run the Onboarding section.
- Generate the image using the appropriate API reference.
- Tell the user where the image was saved.
Onboarding
Only run this if no keys are set. Guide the user conversationally.
- Ask which provider they'd like to use:
- OpenAI (gpt-image-2) — High quality, excellent text rendering, paid per image
- Google Gemini (Nano Banana) — Fast, free tier available, great for iteration
- Direct them to get an API key:
- OpenAI → https://platform.openai.com/api-keys
- Gemini → https://aistudio.google.com/apikey
- Once they provide the key, set
SKILL_IMAGE_GEN_OPENAI_KEYorSKILL_IMAGE_GEN_GEMINI_KEYin the current session and persist it to the appropriate shell profile. - Proceed to generate the image they originally asked for.
API Reference: OpenAI
Method: POST
URL: https://api.openai.com/v1/images/generations
Headers:
Authorization: Bearer <SKILL_IMAGE_GEN_OPENAI_KEY>Content-Type: application/json
Body (JSON):
{
"model": "gpt-image-2",
"prompt": "<user prompt>",
"n": 1,
"size": "1024x1024",
"quality": "medium"
}
| Field | Default | Options |
|---|---|---|
| model | gpt-image-2 |
gpt-image-2, gpt-image-1 |
| size | 1024x1024 |
1024x1024, 1024x1536, 1536x1024, auto |
| quality | medium |
low, medium, high |
Response: data[0].b64_json contains the base64-encoded image. Decode it and save to the output path. If data[0].url is present instead, download the image from that URL.
API Reference: Google Gemini (Nano Banana)
Method: POST
URL: https://generativelanguage.googleapis.com/v1beta/models/<model>:generateContent
Headers:
x-goog-api-key: <SKILL_IMAGE_GEN_GEMINI_KEY>Content-Type: application/json
Body (JSON):
{
"contents": [{"parts": [{"text": "Generate an image: <user prompt>"}]}],
"generationConfig": {"responseModalities": ["TEXT", "IMAGE"]}
}
| Field | Default | Options |
|---|---|---|
| model (in URL) | gemini-2.0-flash-exp |
gemini-2.0-flash-exp, gemini-2.5-flash-image |
Response: Find candidates[0].content.parts[] — look for a part with inlineData.data (base64 image) and inlineData.mimeType. Decode and save.
Error cases: error key (API error), promptFeedback.blockReason (safety block), finishReason: "SAFETY" (filtered).
Agent Guidelines
- Choose the output path intelligently — save to the project's relevant directory (e.g.,
assets/,images/, or the current directory). - For game textures, enrich prompts with "seamless", "tileable", "game asset".
- For batch generation, make multiple API calls in parallel.
- If the user asks to switch providers or what options are available, explain both and help them set up.
- Always create the output directory before saving.
- Ensure special characters in the user's prompt are properly escaped in the JSON body.
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