Updated 1d ago
by lillyguisnet
sam3-segmentation
Agent skill: outline, mask and count objects in photos with Meta's SAM 3 on your own NVIDIA GPU, with review, exports and a viewer. Works with Claude Code, Codex, Cursor, Pi and other Agent Skills clients.
64 GitHub stars (64)
+64 in 1 day
- 1 skill (1 skills found in its SKILL.md files)
- 2 forks (2 forks)
- 1d ago last update (Last updated 1d ago)
Install
Skills CLI
npx skills add lillyguisnet/sam3-segmentation
Asks which agents to install it for. Add -g to install it for every project.
Claude Code
git clone https://github.com/lillyguisnet/sam3-segmentationcp -r "sam3-segmentation/skills/sam3-segmentation" ~/.claude/skills/
Copies the sam3-segmentation skill into ~/.claude/skills/ for every project (use .claude/skills/ for one project).
Plugin
/plugin marketplace add lillyguisnet/sam3-segmentation
Run inside Claude Code if the repository ships a plugin marketplace, then pick plugins from /plugin.
Skills can run code on your machine — read the SKILL.md first.
What it does
In the author's own words, from each skill's SKILL.md.
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sam3-segmentation
Outline, mask, cut out or count objects in images with Meta's SAM 3 (Segment Anything Model 3), run locally on an NVIDIA GPU. Use when the user wants pixel masks or outlines of things in a photo, even without saying "segmentation" or "SAM": every instance of a phrase ("all the dogs"), one object from a click or box, automatic "segment everything", or careful, auditable annotation of many small ob…
skills/sam3-segmentation/SKILL.md on GitHub (opens in a new tab)
No skill matches that filter.
Review before you install
A skill is a set of instructions and scripts your agent will follow, and it can run code on your machine. Read the SKILL.md and any scripts first — this listing is not a security review.