Agent skill · Media & Video

generate-nanobanana

Generate and edit images/video with Google's Gemini media models (Nano Banana 2/Pro, Gemini Omni Flash), with cost-approval gates, reference-image support, and a prompt/output log per call.

Nick44,086★ · +407/wk · 1 repos on radarProfile →
claude-codecodexcursorMIT
Install
npx skills add sickn33/agentic-awesome-skills --skill generate-nanobanana --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 5
SKILL.md size: 11 KB
Bundled scripts: none
Declared author: antonio
Path: skills/generate-nanobanana/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 44,414 · +328 this week
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Generate Nanobanana ## Overview `generate-nanobanana` calls Google's Gemini media models directly through the Gemini API — no third-party routing layer — to generate and edit images and video. It routes each request to the right model tier (draft, standard, quality, or video), loads real reference images instead of relying on text descriptions, gates every paid call behind explicit user approval, and writes a JSON sidecar next to every output recording the exact prompt, model, and cost. It registers a single `/generate` command. This skill adapts the workflow (model routing, reference-image handling, sidecar logging) from [AntonioCardenas/generate-nanobanana](https://github.com/AntonioCardenas/generate-nanobanana). The actual request shapes in `references/` were independently verified against the live [Gemini API docs](https://ai.google.dev/gemini-api/docs/image-generation) rather than copied from that upstream repo, whose examples predate Google's migration to the Interactions API and use stale, non-functional request methods. Model IDs, request contracts, and pricing all change on Google's own schedule — re-verify against the docs linked from each reference file before relying

What's inside
Steps it walks through
  1. Overview
  2. When to Use This Skill
  3. How It Works
  4. Step 1: Route to a model
  5. Step 2: Load references
  6. Step 3: Generate
  7. Step 4: Verify and log
  8. Examples
  9. Example 1: On-brand thumbnail from a linked reference set
  10. Example 2: Sidecar log written beside an output
  11. Best Practices
  12. Limitations
  13. Security & Safety Notes
  14. Common Pitfalls
Ships with 4 files
  • references/gemini-3-pro-image.md
  • references/gemini-3.1-flash-image.md
  • references/gemini-3.1-flash-lite-image.md
  • references/gemini-omni-flash-preview.md
More from agentic-awesome-skills
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About this skill
What does the generate-nanobanana skill do?

Generate and edit images/video with Google's Gemini media models (Nano Banana 2/Pro, Gemini Omni Flash), with cost-approval gates, reference-image support, and a prompt/output log per call.

How do I install it?

Run `npx skills add sickn33/agentic-awesome-skills --skill generate-nanobanana --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From sickn33/agentic-awesome-skills, a repository with 44,414 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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