Nano banana
Skill Orkas-AI/Orkas-Awesome-AgentSkills/creation/skills/nano-banana
Curated Orkas agents and skills for education, product development, content creation, data analysis, office automation, and e-commerce workflows.From the repository description
npx -y skills add Orkas-AI/Orkas-Awesome-AgentSkills --skill nano-bananaAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
3 things to look at
- reads credentialsReads from 2 credential sources: `ATLASCLOUD_API_KEY` and 1 more.
- 12 stars12 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
- runs commandsInstructs the agent to run 2 commands, including `test -n "$ATLASCLOUD_API_KEY" && echo "ATLASCLOUD_API_KEY configured"` and 1 more.
SKILL.md
3.7 KB, 637 tokens by cl100k_base, as published. Nobody here has run it
Nano Banana
When to Use
Use this skill when the user explicitly wants to use Nano Banana, Gemini image models, Imagen-style generation/editing, Google AI Studio, or Atlas Cloud for image execution.
Use for:
- Text-to-image through a configured provider.
- Image editing with one or more local reference/source images.
- Comparing provider availability, privacy, and cost before execution.
- Running a generation/editing task after an image design brief is ready.
Do not use this skill as a generic prompt-writing guide. Use image-design for planning and route here only when execution through this provider is appropriate and available.
Provider And Privacy Rules
- Check which credentials are configured before choosing a provider.
- If multiple providers are configured, ask the user which to use unless cost/privacy preference is already clear.
- If no credentials are configured, provide setup guidance but do not ask the user to paste secrets into chat.
- Before uploading any local image, ask for explicit confirmation and state the destination provider.
- State that prompts and uploaded images may be sent to third-party services.
- Ask for budget limits before batch generation or high-resolution runs.
- Save outputs to a user-visible local directory and return output paths.
First Checks
Check environment variables without printing secret values:
test -n "$ATLASCLOUD_API_KEY" && echo "ATLASCLOUD_API_KEY configured"
test -n "$GEMINI_API_KEY" && echo "GEMINI_API_KEY configured"
If the source skill's helper script is available in the local environment, prefer using it. Otherwise use the provider API documented for the user's configured provider.
Workflow
- Confirm task type: text-to-image or image edit.
- Confirm prompt, source/reference image paths, aspect ratio, resolution, output directory, and count.
- Choose provider:
- Atlas Cloud when configured and acceptable to the user.
- Google AI Studio / Gemini when configured and acceptable to the user.
- no execution when credentials are missing; return setup guidance and prompt/brief instead.
- Confirm cost, upload, and privacy before execution.
- Submit the request.
- Poll or wait for the result if asynchronous.
- Download or save generated outputs.
- Verify file existence and return paths plus provider/task metadata.
Return Format
## Nano Banana Result
- Provider:
- Task type:
- Output path(s):
- Task id / remote URL(s), if any:
- Cost / quota note:
- Uploads confirmed:
- Checks performed:
- Failures or fallback:
Limits and Known Issues
- Provider names, model IDs, prices, and availability can change. For production work, verify current provider docs.
- Exact text, logos, faces, product geometry, and reference consistency are not guaranteed.
- Reference image limits depend on the provider and current model.
- This skill must not expose API keys or raw provider responses containing secrets.
- If execution is unavailable, return a prompt and execution plan; do not claim an image was generated.
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.