Agent skill

Segmentation Sam2

Interactive click-to-segment using Segment Anything 2 — AI-assisted labeling for Annotation Studio

MITAuto-check passedAI & LLM Engineering

Install Segmentation Sam2

skills CLI

$ npx skills add SharpAI/DeepCamera --skill segmentation-sam2 -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install SharpAI/DeepCamera segmentation-sam2 --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/SharpAI/DeepCamera.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/segmentation/sam2-segmentation .claude/skills/segmentation-sam2 && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "segmentation-sam2" agent skill from https://github.com/SharpAI/DeepCamera/tree/master/skills/segmentation/sam2-segmentation into .claude/skills/segmentation-sam2/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "segmentation-sam2", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/SharpAI/DeepCamera/tree/master/skills/segmentation/sam2-segmentation

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add SharpAI/DeepCamera --skill segmentation-sam2 -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install SharpAI/DeepCamera segmentation-sam2 --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/SharpAI/DeepCamera.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/segmentation/sam2-segmentation .agents/skills/segmentation-sam2 && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "segmentation-sam2" agent skill from https://github.com/SharpAI/DeepCamera/tree/master/skills/segmentation/sam2-segmentation into .agents/skills/segmentation-sam2/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "segmentation-sam2", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add SharpAI/DeepCamera --skill segmentation-sam2 -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install SharpAI/DeepCamera segmentation-sam2 --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/SharpAI/DeepCamera.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/segmentation/sam2-segmentation .cursor/skills/segmentation-sam2 && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "segmentation-sam2" agent skill from https://github.com/SharpAI/DeepCamera/tree/master/skills/segmentation/sam2-segmentation into .cursor/skills/segmentation-sam2/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "segmentation-sam2", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/SharpAI/DeepCamera.git --path skills/segmentation/sam2-segmentation

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add SharpAI/DeepCamera --skill segmentation-sam2 -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install SharpAI/DeepCamera segmentation-sam2 --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/SharpAI/DeepCamera.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/segmentation/sam2-segmentation .gemini/skills/segmentation-sam2 && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "segmentation-sam2" agent skill from https://github.com/SharpAI/DeepCamera/tree/master/skills/segmentation/sam2-segmentation into .gemini/skills/segmentation-sam2/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "segmentation-sam2", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install SharpAI/DeepCamera segmentation-sam2

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add SharpAI/DeepCamera --skill segmentation-sam2 -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/SharpAI/DeepCamera.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/segmentation/sam2-segmentation .github/skills/segmentation-sam2 && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "segmentation-sam2" agent skill from https://github.com/SharpAI/DeepCamera/tree/master/skills/segmentation/sam2-segmentation into .github/skills/segmentation-sam2/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "segmentation-sam2", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add SharpAI/DeepCamera --skill segmentation-sam2 -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install SharpAI/DeepCamera segmentation-sam2 --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/SharpAI/DeepCamera.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/segmentation/sam2-segmentation .opencode/skills/segmentation-sam2 && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "segmentation-sam2" agent skill from https://github.com/SharpAI/DeepCamera/tree/master/skills/segmentation/sam2-segmentation into .opencode/skills/segmentation-sam2/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "segmentation-sam2", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: segmentation-sam2
GitHub stars: 3.1k
Token cost: ~594 tokens
SKILL.md length: 97 words
Files: 5 (incl. scripts)
Skills in repo: 15
Repo updated: Sep 17, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Interactive click-to-segment using Segment Anything 2 — AI-assisted labeling for Annotation Studio

Tasks that involve Computer vision
SKILL.md covers What You Get, Protocol and Installation
Runs Batch, Shell and Python scripts from its folder

What it does

Segmentation Sam2 is an agent skill from SharpAI/DeepCamera. Interactive click-to-segment using Segment Anything 2 — AI-assisted labeling for Annotation Studio

Its SKILL.md is about 590 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts (for example `deploy.sh` and `scripts/segment.py`).

It sits in AI & LLM Engineering, covering Computer vision. It works with Python. The repository describes itself as: Open-Source AI Camera Skills Platform, AI NVR & CCTV Surveillance. Local VLM video analysis with Qwen, DeepSeek, SmolVLM, LLaVA, YOLO26. LLM-powered agentic security camera agent… The licence is MIT.

When your agent uses it

Tasks that involve Computer vision

Example prompts

“/segmentation-sam2”

Requirements

Python 3
A Bash shell

What it can do on your machine

Read from SKILL.md and the folder at commit 933dcc7. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Batch, Shell and Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Segmentation Sam2 loads about 594 tokens when it runs. Until then it costs about 29 tokens; SKILL.md has 97 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~29
When it runs · the whole SKILL.md, loaded when a task matches: ~594

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from SharpAI/DeepCamera at commit 933dcc7, republished under its MIT licence (© SharpAI). 97 words, ~594 tokens.

Download SKILL.mdSave it as .claude/skills/segmentation-sam2/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.

name: segmentation-sam2
description: Interactive click-to-segment using Segment Anything 2 — AI-assisted labeling for Annotation Studio
version: 1.0.0
entry: scripts/segment.py
deploy: deploy.sh

SAM2 Interactive Segmentation

Click anywhere on a video frame to segment objects using Meta's Segment Anything 2. Generates pixel-perfect masks for annotation, tracking, and dataset creation.

What You Get

Click-to-segment — click on any object to get its mask
Point & box prompts — positive/negative points and bounding box selection
Video tracking — segment in one frame, propagate across the clip
Annotation Studio — full integration with sidebar Annotation Studio

Protocol

Communicates via JSON lines over stdin/stdout.

Aegis → Skill (stdin)

jsonl

{"event": "frame", "frame_path": "/tmp/frame.jpg", "frame_id": "frame_1", "request_id": "req_001"}
{"command": "segment", "points": [{"x": 450, "y": 320, "label": 1}], "request_id": "req_002"}
{"command": "track", "frame_path": "/tmp/frame2.jpg", "frame_id": "frame_2", "request_id": "req_003"}
{"command": "stop"}

Skill → Aegis (stdout)

jsonl

{"event": "segmentation", "type": "ready", "request_id": "", "data": {"model": "sam2-small", "device": "mps"}}
{"event": "segmentation", "type": "encoded", "request_id": "req_001", "data": {"frame_id": "frame_1", "width": 1920, "height": 1080}}
{"event": "segmentation", "type": "segmented", "request_id": "req_002", "data": {"mask_path": "/tmp/mask.png", "mask_b64": "...", "score": 0.95, "bbox": [100, 50, 350, 420]}}
{"event": "segmentation", "type": "tracked", "request_id": "req_003", "data": {"frame_id": "frame_2", "mask_path": "/tmp/track.png", "score": 0.93}}

Installation

The deploy.sh bootstrapper handles everything — Python environment, GPU detection, dependency installation, and model download. No manual setup required.

bash

./deploy.sh

Files

SKILL.md and 4 other files (scripts) in skills/segmentation/sam2-segmentation of SharpAI/DeepCamera.

SKILL.md
deploy.bat
deploy.sh
requirements.txt
scripts/segment.py

Open the folder on GitHubat commit 933dcc7

Compare with similar skills

Segmentation Sam2 next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Segmentation Sam2 compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Segmentation Sam2 this skillSharpAI/DeepCamera	3.1k	—	~594	Automated safety check: Pass	MIT	21 days ago
Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs	13k	9 repos	~3.3k	Automated safety check: Pass	MIT	3 mo ago
CLIP Image-Text MatchingOrchestra-Research/AI-Research-SKILLs	13k	8 repos	~1.7k	Automated safety check: Pass	MIT	3 mo ago
LLaVA Vision-Language ModelOrchestra-Research/AI-Research-SKILLs	13k	7 repos	~2k	Automated safety check: Pass	MIT	3 mo ago
Hugging Face Vision Trainerhuggingface/skills	11k	1 repos	~7.5k	Automated safety check: Pass	Apache-2.0	6 days ago
Hugging Face Transformers Usagedavila7/claude-code-templates	32k	12 repos	~1.2k	Automated safety check: Pass	MIT	today

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Questions about Segmentation Sam2

What does Segmentation Sam2 do?

Interactive click-to-segment using Segment Anything 2 — AI-assisted labeling for Annotation Studio. Segmentation Sam2 is an agent skill from SharpAI/DeepCamera.

When should I use Segmentation Sam2?

Segmentation Sam2 fits situations like: tasks that involve Computer vision.

How do I install Segmentation Sam2 in Claude Code?

Run `npx skills add SharpAI/DeepCamera --skill segmentation-sam2 -a claude-code`. Or copy the skill folder (skills/segmentation/sam2-segmentation in SharpAI/DeepCamera) into .claude/skills/segmentation-sam2 in your project. Claude Code loads it when a task matches its description.

How do I install Segmentation Sam2 in Codex?

Run `npx skills add SharpAI/DeepCamera --skill segmentation-sam2 -a codex`. Or copy the skill folder (skills/segmentation/sam2-segmentation in SharpAI/DeepCamera) into .agents/skills/segmentation-sam2 in your project. Codex loads it when a task matches its description.

Can I use Segmentation Sam2 in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add SharpAI/DeepCamera --skill segmentation-sam2 -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/segmentation-sam2, .gemini/skills/segmentation-sam2, .github/skills/segmentation-sam2 and .opencode/skills/segmentation-sam2 in your project.

What does Segmentation Sam2 need to run?

Going by SKILL.md and its folder, Segmentation Sam2 needs Windows cmd, a shell and Python for the scripts in its folder. Our summary lists: Python 3; A Bash shell.

Does Segmentation Sam2 access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Segmentation Sam2 safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Segmentation Sam2 use?

Segmentation Sam2 is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Segmentation Sam2 use?

About 594 tokens (SKILL.md is roughly 2.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Segmentation Sam2?

Skills that share tags, products or a category with Segmentation Sam2: Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars), CLIP Image-Text Matching (Orchestra-Research/AI-Research-SKILLs, 13k stars), LLaVA Vision-Language Model (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Hugging Face Vision Trainer (huggingface/skills, 11k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Segmentation Sam2?

SharpAI (a GitHub organization) maintains it in SharpAI/DeepCamera, which has 3,089 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on September 17, 2026.

Source: SharpAI/DeepCamera on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Segmentation Sam2

Install Segmentation Sam2

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

SAM2 Interactive Segmentation

What You Get

Protocol

Aegis → Skill (stdin)

Skill → Aegis (stdout)

Installation

Files

Compare with similar skills

Similar skills

Segment Anything Model Guide

CLIP Image-Text Matching

LLaVA Vision-Language Model

Hugging Face Vision Trainer

Hugging Face Transformers Usage

Inference And Results

More from SharpAI/DeepCamera

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Questions about Segmentation Sam2

Install Segmentation Sam2

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

SAM2 Interactive Segmentation

What You Get

Protocol

Aegis → Skill (stdin)

Skill → Aegis (stdout)

Installation

Files

Compare with similar skills

Similar skills

More from SharpAI/DeepCamera

Related

Questions about Segmentation Sam2