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image-generation

Generate and edit images using Gemini Flash Image, and generate videos using Veo.

Skill by rudyalways

IndexedMIT★ 2
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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.

npx agentmarket install skill/rudyalways-image-generation

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About

Generate and edit images using Gemini Flash Image, and generate videos using Veo. Supports text-to-image, image editing, text-to-video, and image-to-video.

Use cases: writing

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
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Secrets
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Install scripts
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Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/image-generation

What's inside

Skill name
image-generation
Description
Generate and edit images using Gemini Flash Image, and generate videos using Veo. Supports text-to-image, image editing, text-to-video, and image-to-video.
License
MIT
Instructions
76 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (4)

  • README.md
  • SKILL.md
  • manifest.json
  • generate.py · scripts/

SKILL.md (first lines)

# Media Generation

Generate images and videos using Gemini APIs.

## Image Generation (Gemini Flash Image)
- **Text-to-image**: Generate images from text descriptions
- **Image editing**: Modify existing images with natural language
- **Background replacement**: Change or enhance backgrounds
- **Hero/banner creation**: Create branded images with text overlays
- **Style transfer**: Apply artistic styles to photos

## Video Generation (Veo)
- **Text-to-video**: Generate video clips from text prompts
- **Image-to-video**: Animate a reference image with a prompt

## When to Use

- "Generate a hero image for my project"
- "Create a short video of a sunset timelapse"
- "Edit this photo to remove the background"
- "Make a video from this image"
- "Generate a logo with a dark theme"

## Usage

```bash
# Text-to-image
python3 "$SKILL_DIR/scripts/generate.py" --prompt "A futuristic city skyline at night"

# Edit an existing image
python3 "$SKILL_DIR/scripts/generate.py" --input photo.jpg --prompt "Add dramatic clouds"

# Specify output path
python3 "$SKILL_DIR/scripts/generate.py" --prompt "A cute robot mascot" --output mascot.png

# Text-to-video
python3 "$SKILL_DIR/scripts/generate.py" --video --prompt "A timelapse of a city at sunset"

# Video with portrait aspect ratio
python3 "$SKILL_DIR/scripts/generate.py" --video --prompt "Ocean waves" --aspect 9:16

# Image-to-video (animate a reference image)
python3 "$SKILL_DIR/scripts/generate.py" --video --input scene.jpg --prompt "Animate this scene with gentle wind"

# Specify output
python3 "$SKILL_DIR/scripts/generate.py" --video --prompt "Dancing robot" --output robot.mp4
```

## Options

| Flag | Description | Default |
|------|-------------|---------|
| `--prompt` | Text prompt describing what to generate | (required) |
| `--input` | Input image path(s) for editing/reference | None |
| `--output` | Output file path | `generated-{timestamp}.png` or `.mp4` |
| `--model` | Gemini model to use | `gemini-2.5-flash-image` / `veo-3.1-generate-preview` |
| `--video` | Generate video instead of image | false |
| `--aspect` | Video aspect ratio | `16:9` |
| `--quality` | JPEG quality (1-100, images only) | 90 |

## Requirements

- `google-genai` Python package (`pip3 install google-genai`)
- `GEMINI_API_KEY` in `.env` or environment
- Pillow (`pip3 install Pillow`) — for image generation/editing

## Notes

- Video generation takes 1-3 minutes (polling every 10s)
- Generated videos are stored on Google servers for 2 days
- Gemini may refuse some prompts (people's faces, copyrighted characters, etc.)
- For image editing, be explicit: "keep the subject unchanged, only modify the background"
- Image output format inferred from extension (.jpg, .png, .webp)
- Maximum input image size: ~20MB

From rudyalways/PhonePcLiveAgentsV2, MIT.

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Last commit (this folder)
Aug 5, 2026 (2 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

image-generation skill. Agent Mart. https://agentmart.dev/skills/rudyalways-image-generation (last updated 2026-10-24)