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SKILL.md
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name: nano-banana-pro
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description: "使用Nano Banana Pro生成/编辑图像。"
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---
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# Nano Banana Pro Image Generation & Editing
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Generate new images or edit existing ones using Google's Nano Banana Pro API (Gemini 3 Pro Image).
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## Usage
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Run the script using absolute path (do NOT cd to skill directory first):
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**Generate new image:**
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```bash
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uv run ~/.codex/skills/nano-banana-pro/scripts/generate_image.py --prompt "your image description" --filename "output-name.png" [--resolution 1K|2K|4K] [--api-key KEY]
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```
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**Edit existing image:**
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```bash
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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 1K|2K|4K] [--api-key KEY]
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```
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**Important:** Always run from the user's current working directory so images are saved where the user is working, not in the skill directory.
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## Default Workflow (draft → iterate → final)
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Goal: fast iteration without burning time on 4K until the prompt is correct.
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- Draft (1K): quick feedback loop
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- `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`
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- Iterate: adjust prompt in small diffs; keep filename new per run
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- If editing: keep the same `--input-image` for every iteration until you’re happy.
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- Final (4K): only when prompt is locked
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- `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`
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## Resolution Options
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The Gemini 3 Pro Image API supports three resolutions (uppercase K required):
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- **1K** (default) - ~1024px resolution
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- **2K** - ~2048px resolution
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- **4K** - ~4096px resolution
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Map user requests to API parameters:
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- No mention of resolution → `1K`
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- "low resolution", "1080", "1080p", "1K" → `1K`
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- "2K", "2048", "normal", "medium resolution" → `2K`
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- "high resolution", "high-res", "hi-res", "4K", "ultra" → `4K`
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## API Key
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The script checks for API key in this order:
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1. `--api-key` argument (use if user provided key in chat)
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2. `GEMINI_API_KEY` environment variable
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If neither is available, the script exits with an error message.
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## Preflight + Common Failures (fast fixes)
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- Preflight:
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- `command -v uv` (must exist)
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- `test -n \"$GEMINI_API_KEY\"` (or pass `--api-key`)
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- If editing: `test -f \"path/to/input.png\"`
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- Common failures:
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- `Error: No API key provided.` → set `GEMINI_API_KEY` or pass `--api-key`
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- `Error loading input image:` → wrong path / unreadable file; verify `--input-image` points to a real image
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- “quota/permission/403” style API errors → wrong key, no access, or quota exceeded; try a different key/account
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## Filename Generation
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Generate filenames with the pattern: `yyyy-mm-dd-hh-mm-ss-name.png`
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**Format:** `{timestamp}-{descriptive-name}.png`
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- Timestamp: Current date/time in format `yyyy-mm-dd-hh-mm-ss` (24-hour format)
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- Name: Descriptive lowercase text with hyphens
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- Keep the descriptive part concise (1-5 words typically)
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- Use context from user's prompt or conversation
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- If unclear, use random identifier (e.g., `x9k2`, `a7b3`)
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Examples:
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- Prompt "A serene Japanese garden" → `2025-11-23-14-23-05-japanese-garden.png`
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- Prompt "sunset over mountains" → `2025-11-23-15-30-12-sunset-mountains.png`
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- Prompt "create an image of a robot" → `2025-11-23-16-45-33-robot.png`
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- Unclear context → `2025-11-23-17-12-48-x9k2.png`
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## Image Editing
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When the user wants to modify an existing image:
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1. Check if they provide an image path or reference an image in the current directory
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2. Use `--input-image` parameter with the path to the image
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3. The prompt should contain editing instructions (e.g., "make the sky more dramatic", "remove the person", "change to cartoon style")
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4. Common editing tasks: add/remove elements, change style, adjust colors, blur background, etc.
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## Prompt Handling
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**For generation:** Pass user's image description as-is to `--prompt`. Only rework if clearly insufficient.
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**For editing:** Pass editing instructions in `--prompt` (e.g., "add a rainbow in the sky", "make it look like a watercolor painting")
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Preserve user's creative intent in both cases.
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## Prompt Templates (high hit-rate)
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Use templates when the user is vague or when edits must be precise.
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- Generation template:
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- “Create an image of: <subject>. Style: <style>. Composition: <camera/shot>. Lighting: <lighting>. Background: <background>. Color palette: <palette>. Avoid: <list>.”
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- Editing template (preserve everything else):
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- “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.”
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## Output
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- Saves PNG to current directory (or specified path if filename includes directory)
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- Script outputs the full path to the generated image
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- **Do not read the image back** - just inform the user of the saved path
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## Examples
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**Generate new image:**
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```bash
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uv run ~/.codex/skills/nano-banana-pro/scripts/generate_image.py --prompt "A serene Japanese garden with cherry blossoms" --filename "2025-11-23-14-23-05-japanese-garden.png" --resolution 4K
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```
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**Edit existing image:**
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```bash
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uv run ~/.codex/skills/nano-banana-pro/scripts/generate_image.py --prompt "make the sky more dramatic with storm clouds" --filename "2025-11-23-14-25-30-dramatic-sky.png" --input-image "original-photo.jpg" --resolution 2K
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```
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