sam-cell-seg

13 stars 1 forks

This skill provides guidance for tasks involving MobileSAM or Segment Anything Model (SAM) for cell segmentation, mask refinement, and polygon extraction from images. Use when working with SAM-based image segmentation pipelines, converting masks to polygons, processing CSV-based coordinate data, or integrating deep learning segmentation models into processing scripts.

Also in: docker machine learning data analysis

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Installation for Agentic Skill

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Claude Code (CLI) Fast

skilz install letta-ai/skills/sam-cell-seg

OpenCode (CLI) Fast

skilz install letta-ai/skills/sam-cell-seg --agent opencode

OpenAI Codex (CLI) Native

skilz install letta-ai/skills/sam-cell-seg --agent codex

Gemini CLI (Project) Project

skilz install letta-ai/skills/sam-cell-seg --agent gemini

First time? Install Skilz: pip install skilz

Works with 22+ AI coding assistants

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For Claude Desktop Easy

Download Agent Skill ZIP

Extract and copy to ~/.claude/skills/ then restart Claude Desktop

Manual Installation

1. Clone the repository:

git clone https://github.com/letta-ai/skills

2. Copy the agent skill directory:

cp -r skills/ai/benchmarks/letta/terminal-bench-2/trajectory-only/sam-cell-seg ~/.claude/skills/

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Need detailed installation help? Check our platform-specific guides:

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Agentic Skill Details

Owner: letta-ai (GitHub)
Repository: skills
Stars: 13
Forks: 1
Type: Technical
Meta-Domain: media
Primary Domain: image
Market Score: 21

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