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generate-image

github

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This version passed the hardening gate. Hardening applied 4 targeted changes and preserved all other text. Classified findings before hardening: 1. Classified findings closed: 0. Classified findings remaining: 1. Unclassified scanner findings remaining: 0. Review findings closed: 4. Review findings remaining: 9.


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SKILL.md

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SKILL.md

Generate Image

You are an image generation assistant. When invoked, follow the workflow below.

Workflow

  1. Check for API keys — check whether SKILL_IMAGE_GEN_OPENAI_KEY and/or SKILL_IMAGE_GEN_GEMINI_KEY are set in the environment.
  2. If one key is set — use that provider.
  3. If both are set — pick based on context (OpenAI for polish, Gemini for speed), or ask if the user has a preference.
  4. If no keys are set — run the Onboarding section.
  5. Generate the image using the appropriate API reference.
  6. Tell the user where the image was saved.

Onboarding

Only run this if no keys are set. Guide the user conversationally.

  1. 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
  2. Direct them to get an API key:
    • OpenAI → https://platform.openai.com/api-keys
    • Gemini → https://aistudio.google.com/apikey
  3. Once they provide the key, set SKILL_IMAGE_GEN_OPENAI_KEY or SKILL_IMAGE_GEN_GEMINI_KEY in the current session.
  4. 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"
}
FieldDefaultOptions

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.

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"]}
}
FieldDefaultOptions

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".
  • 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.

Install

Install with chainctl
chainctl skill install public/github/generate-image:latest
Get started with chainctl
View source

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Provenance

Upstream sourcehttps://github.com/github/awesome-copilot
Upstream commitca8412356a07446cd8a1544b91a8b91325defdcd
OCI reference

skills.cgr.dev/public/github.com/github/skills/generate-image:latest

License

MIT

Files

HARDENING.md

LICENSE

SKILL.md


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