Individual skill
segment-anything-model
Foundation model for image segmentation with zero-shot transfer. Use when you need to segment any object in images using points, boxes, or masks as prompts, or automatically generate all object masks in an image.
backend/cli/skills/llm-tools/segment-anything/SKILL.md
Source commit a08e0ad0ad3d6448123039ee4659163eb2e35d99
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 2, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 4,353
- Repository last updated
- Nov 6, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent Repository topic
- ai Repository topic
- bun Repository topic
- cli Repository topic
- llm Repository topic
- ml Repository topic
- open-source Repository topic
- research Repository topic
- science Repository topic
- ai-agent Repository topic
- multimodal Declared skill tag
- image-segmentation Declared skill tag
- computer-vision Declared skill tag
- sam Declared skill tag
- zero-shot Declared skill tag
- engineering Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 13,729 bytesSKILL.mdcore · 13,729 bytesSKILL.mdcore · 13,729 bytesSKILL.mdcore · 13,729 bytesSKILL.mdcore · 13,729 bytesSKILL.mdcore · 13,729 bytesSKILL.mdcore · 13,729 bytesSKILL.mdcore · 13,729 bytesSKILL.mdcore · 13,729 bytesSKILL.mdcore · 13,729 bytesSKILL.mdcore · 13,729 bytesSKILL.mdcore · 13,729 bytesSKILL.mdcore · 13,729 bytesSKILL.mdcore · 13,729 bytesSKILL.mdcore · 13,729 bytesSKILL.mdcore · 13,729 bytesSKILL.mdcore · 13,729 bytesSKILL.mdcore · 13,729 bytesSKILL.mdcore · 13,729 bytesSKILL.mdcore · 13,729 bytesSKILL.mdcore · 13,729 bytesSKILL.mdcore · 13,729 bytesSKILL.mdcore · 13,729 bytesSKILL.mdcore · 13,729 bytesreferences/advanced-usage.mddoc · 15,803 bytesreferences/troubleshooting.mddoc · 11,914 bytes
Read excerpt
# Segment Anything Model (SAM)
Comprehensive guide to using Meta AI's Segment Anything Model for zero-shot image segmentation.
## When to use SAM
**Use SAM when:**
- Need to segment any object in images without task-specific training
- Building interactive annotation tools with point/box prompts
- Generating training data for other vision models
- Need zero-shot transfer to new image domains
- Building object detection/segmentation pipelines
- Processing medical, satellite, or domain-specific images