nano-banana-pro
Nano Banana/Gemini image gen/edit: text/image input, 512-4K workflows.
Skill by az9713
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
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What's inside
- Skill name
nano-banana-pro- Description
- Nano Banana/Gemini image gen/edit: text/image input, 512-4K workflows.
- License
- MIT
- Instructions
- 129 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (2)
- SKILL.md
- generate_image.py · scripts/
SKILL.md (first lines)
# Nano Banana 2 Image Generation & Editing
Generate new images or edit existing ones using Google's Nano Banana 2 API (Gemini 3.1 Flash Image).
## Usage
Run the script using absolute path (do NOT cd to skill directory first):
**Generate new image:**
```bash
uv run ~/.codex/skills/nano-banana-pro/scripts/generate_image.py --prompt "your image description" --filename "output-name.png" [--resolution 512|1K|2K|4K] [--api-key KEY]
```
**Edit existing image:**
```bash
uv run ~/.codex/skills/nano-banana-pro/scripts/generate_image.py --prompt "editing instructions" --filename "output-name.png" --input-image "path/to/input.png" [--resolution 512|1K|2K|4K] [--api-key KEY]
```
**Important:** Always run from the user's current working directory so images are saved where the user is working, not in the skill directory.
## Default Workflow (draft → iterate → final)
Goal: fast iteration without burning time on 4K until the prompt is correct.
- Draft (1K): quick feedback loop
- `uv run ~/.codex/skills/nano-banana-pro/scripts/generate_image.py --prompt "<draft prompt>" --filename "yyyy-mm-dd-hh-mm-ss-draft.png" --resolution 1K`
- Iterate: adjust prompt in small diffs; keep filename new per run
- If editing: keep the same `--input-image` for every iteration until you’re happy.
- Final (4K): only when prompt is locked
- `uv run ~/.codex/skills/nano-banana-pro/scripts/generate_image.py --prompt "<final prompt>" --filename "yyyy-mm-dd-hh-mm-ss-final.png" --resolution 4K`
## Resolution Options
The Gemini 3.1 Flash Image API supports these output size values:
- **512** - compact ~512px-class resolution
- **1K** (default) - ~1024px resolution
- **2K** - ~2048px resolution
- **4K** - ~4096px resolution
Map user requests to API parameters:
- "512", "512px", "0.5K", "thumbnail", "tiny" → `512`
- No mention of resolution → `1K`
- "low resolution", "1080", "1080p", "1K" → `1K`
- "2K", "2048", "normal", "medium resolution" → `2K`
- "high resolution", "high-res", "hi-res", "4K", "ultra" → `4K`
## API Key
The script checks for API key in this order:
1. `--api-key` argument (use if user provided key in chat)
2. `GEMINI_API_KEY` environment variable
If neither is available, the script exits with an error message.
## Preflight + Common Failures (fast fixes)
- Preflight:
- `command -v uv` (must exist)
- `test -n \"$GEMINI_API_KEY\"` (or pass `--api-key`)
- If editing: `test -f \"path/to/input.png\"`
- Common failures:
- `Error: No API key provided.` → set `GEMINI_API_KEY` or pass `--api-key`
- `Error loading input image:` → wrong path / unreadable file; verify `--input-image` points to a real image
- “quota/permission/403” style API errors → wrong key, no access, or quota exceeded; try a different key/account
## Filename Generation
Generate filenames with the pattern: `yyyy-mm-dd-hh-mm-ss-name.png`
**Format:** `{timestamp}-{descriptive-name}.png`
- Timestamp: Current date/time in format `yyyy-mm-dd-hh-mm-ss` (24-hour format)
- Name: Descriptive lowercase text with hyphens
- Keep the descriptive part concise (1-5 words typically)
- Use context from user's prompt or conversation
- If unclear, use random identifier (e.g., `x9k2`, `a7b3`)
Examples:
- Prompt "A serene Japanese garden" → `2025-11-23-14-23-05-japanese-garden.png`
- Prompt "sunset over mountains" → `2025-11-23-15-30-12-sunset-mountains.png`
- Prompt "create an image of a robot" → `2025-11-23-16-45-33-robot.png`
- Unclear context → `2025-11-23-17-12-48-x9k2.png`
## Image Editing
When the user wants to modify an existing image:
1. Check if they provide an image path or reference an image in the current directory
2. Use `--input-image` parameter with the path to the image
3. The prompt should contain editing instructions (e.g., "make the sky more dramatic", "remove the person", "change to cartoon style")
4. Common editing tasks: add/remove elements, change style, adjust colors, blur background, etc.
## Prompt Handling
**For generation:** Pass user's image description as-is to `--prompt`. Only rework if clearly insufficient.
**For editing:** Pass editing instructions in `--prompt` (e.g., "add a rainbow in the sky", "make it look like a watercolor painting")
Preserve user's creative intent in both cases.
## Prompt Templates (high hit-rate)
Use templates when the user is vague or when edits must be precise.
- Generation template:
- “Create an image of: <subject>. Style: <style>. Composition: <camera/shot>. Lighting: <lighting>. Background: <background>. Color palette: <palette>. Avoid: <list>.”
- Editing template (preserve everything else):
- “Change ONLY: <single change>. Keep identical: subject, composition/crop, pose, lighting, color palette, background, text, and overall style. Do not add new objects. If text exists, keep it unchanged.”
## Output
- Saves PNG to current directory (or specified path if filename includes directory)
- Script outputs the full path to the generated image
- **Do not read the image back** - just inform the user of the saved path
## Examples
**Generate new image:**From az9713/agent-scripts-windows, MIT.
Signals
- Stars
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- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Aug 2, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/az9713/agent-scripts-windows
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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nano-banana-pro skill. Agent Mart. https://agentmart.dev/skills/az9713-nano-banana-pro (last updated 2026-10-24)