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segment image AI Agent Skill
View Source: b-open-io/gemskills
MediumInstallation
npx skills add b-open-io/gemskills --skill segment image 18
Installs
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
# Segment all objects
bun run --cwd ${CLAUDE_PLUGIN_ROOT} ${CLAUDE_PLUGIN_ROOT}/skills/segment-image/scripts/segment.ts photo.jpg
# Segment with custom prompt
bun run --cwd ${CLAUDE_PLUGIN_ROOT} ${CLAUDE_PLUGIN_ROOT}/skills/segment-image/scripts/segment.ts photo.jpg --prompt "identify all people and vehicles"
# Save masks to directory
bun run --cwd ${CLAUDE_PLUGIN_ROOT} ${CLAUDE_PLUGIN_ROOT}/skills/segment-image/scripts/segment.ts photo.jpg --output ./masksContext 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-flash-preview (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'sreferences/gemini-api.mdfor current models and Google's officialgemini-api-devskill for the canonical source.
Installs
Security Audit
View Source
b-open-io/gemskills
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How to use this skill
Install segment image by running npx skills add b-open-io/gemskills --skill segment image in your project directory. Run the install command above in your project directory. The skill file will be downloaded from GitHub and placed in your project.
No configuration needed. Your AI agent (Claude Code, Cursor, Windsurf, etc.) automatically detects installed skills and uses them as context when generating code.
The skill enhances your agent's understanding of segment image, helping it follow established patterns, avoid common mistakes, and produce production-ready output.
What you get
Skills are plain-text instruction files — not executable code. They encode expert knowledge about frameworks, languages, or tools that your AI agent reads to improve its output. This means zero runtime overhead, no dependency conflicts, and full transparency: you can read and review every instruction before installing.
Compatibility
This skill works with any AI coding agent that supports the skills.sh format, including Claude Code (Anthropic), Cursor, Windsurf, Cline, Aider, and other tools that read project-level context files. Skills are framework-agnostic at the transport level — the content inside determines which language or framework it applies to.
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