| name | segment-image |
| description | This skill should be used when the user asks to "segment an image", "identify objects", "extract objects", "generate masks", "find objects in image", or needs AI-powered image segmentation. |
Segment Image
Segment and identify objects in images using Gemini's vision capabilities.
When to Use
Use this skill when the user asks to:
- Identify objects in an image
- Generate masks for specific objects
- Segment an image into regions
- Extract objects from an image
Usage
bun run --cwd ${CLAUDE_PLUGIN_ROOT} ${CLAUDE_PLUGIN_ROOT}/skills/segment-image/scripts/segment.ts <input-image> [options]
Options
--prompt <text> - Custom segmentation prompt--output <dir> - Output directory for mask files
Examples
bun run --cwd ${CLAUDE_PLUGIN_ROOT} ${CLAUDE_PLUGIN_ROOT}/skills/segment-image/scripts/segment.ts photo.jpg
bun run --cwd ${CLAUDE_PLUGIN_ROOT} ${CLAUDE_PLUGIN_ROOT}/skills/segment-image/scripts/segment.ts photo.jpg --prompt "identify all people and vehicles"
bun run --cwd ${CLAUDE_PLUGIN_ROOT} ${CLAUDE_PLUGIN_ROOT}/skills/segment-image/scripts/segment.ts photo.jpg --output ./masks
Context Discipline
Do not read generated mask images back into context. The script outputs file paths. Ask the user to visually inspect the masks. To inspect programmatically, optimize the images first (via the optimize-images skill).
Model
Uses gemini-3.5-flash (Gemini 3 Flash) for image segmentation.
Last verified: February 2026. If a newer generation exists, STOP and suggest a PR to b-open-io/gemskills. See the ask-gemini skill's references/gemini-api.md for current models and Google's official gemini-api-dev skill for the canonical source.
