Agent skill

Annotation Data

Dataset annotation management — COCO labels, sequences, export, and Kaggle upload

MITAuto-check passedAI & LLM Engineering

Install Annotation Data

skills CLI

$ npx skills add SharpAI/DeepCamera --skill annotation-data -a claude-code

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

GitHub CLI

$ gh skill install SharpAI/DeepCamera annotation-data --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/annotation/dataset-management .claude/skills/annotation-data && 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 "annotation-data" agent skill from https://github.com/SharpAI/DeepCamera/tree/master/skills/annotation/dataset-management into .claude/skills/annotation-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "annotation-data", 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/annotation/dataset-management

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 annotation-data -a codex

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

GitHub CLI

$ gh skill install SharpAI/DeepCamera annotation-data --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/annotation/dataset-management .agents/skills/annotation-data && 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 "annotation-data" agent skill from https://github.com/SharpAI/DeepCamera/tree/master/skills/annotation/dataset-management into .agents/skills/annotation-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "annotation-data", 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 annotation-data -a cursor

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

GitHub CLI

$ gh skill install SharpAI/DeepCamera annotation-data --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/annotation/dataset-management .cursor/skills/annotation-data && 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 "annotation-data" agent skill from https://github.com/SharpAI/DeepCamera/tree/master/skills/annotation/dataset-management into .cursor/skills/annotation-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "annotation-data", 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/annotation/dataset-management

--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 annotation-data -a gemini-cli

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

GitHub CLI

$ gh skill install SharpAI/DeepCamera annotation-data --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/annotation/dataset-management .gemini/skills/annotation-data && 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 "annotation-data" agent skill from https://github.com/SharpAI/DeepCamera/tree/master/skills/annotation/dataset-management into .gemini/skills/annotation-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "annotation-data", 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 annotation-data

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 annotation-data -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/annotation/dataset-management .github/skills/annotation-data && 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 "annotation-data" agent skill from https://github.com/SharpAI/DeepCamera/tree/master/skills/annotation/dataset-management into .github/skills/annotation-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "annotation-data", 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 annotation-data -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 annotation-data --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/annotation/dataset-management .opencode/skills/annotation-data && 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 "annotation-data" agent skill from https://github.com/SharpAI/DeepCamera/tree/master/skills/annotation/dataset-management into .opencode/skills/annotation-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "annotation-data", 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: annotation-data
GitHub stars: 3.1k
Token cost: ~495 tokens
SKILL.md length: 27 words
Files: 5 (incl. scripts)
Skills in repo: 15
Repo updated: Sep 17, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Dataset annotation management — COCO labels, sequences, export, and Kaggle upload

AI & LLM Engineering work in your project
Runs Batch, Shell and Python scripts from its folder

What it does

Annotation Data is an agent skill from SharpAI/DeepCamera. Dataset annotation management — COCO labels, sequences, export, and Kaggle upload

Its SKILL.md is about 500 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/annotation_manager.py`).

It sits in AI & LLM Engineering. It works with Kaggle. 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

AI & LLM Engineering work in your project

Example prompts

“/annotation-data”

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

Annotation Data loads about 495 tokens when it runs. Until then it costs about 24 tokens; SKILL.md has 27 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~24
When it runs · the whole SKILL.md, loaded when a task matches: ~495

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). 27 words, ~495 tokens.

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

name: annotation-data
description: Dataset annotation management — COCO labels, sequences, export, and Kaggle upload
version: 1.0.0
entry: scripts/annotation_manager.py
deploy: deploy.sh
ui_unlocks: annotation_studio

Annotation Data Management

Manages annotation datasets for Aegis Annotation Studio. Handles dataset CRUD, label management, COCO-format export, and Kaggle upload.

Protocol (stdin/stdout JSONL)

Aegis → Skill

jsonl

{"command": "list_datasets", "request_id": "req_001"}
{"command": "get_dataset", "name": "my_dataset", "request_id": "req_002"}
{"command": "save_dataset", "name": "my_dataset", "labels": [...], "request_id": "req_003"}
{"command": "delete_dataset", "name": "my_dataset", "request_id": "req_004"}
{"command": "save_annotation", "dataset": "my_dataset", "frame_id": "f1", "annotations": [...], "request_id": "req_005"}
{"command": "list_labels", "dataset": "my_dataset", "request_id": "req_006"}
{"command": "export_coco", "dataset": "my_dataset", "request_id": "req_007"}
{"command": "get_stats", "dataset": "my_dataset", "request_id": "req_008"}
{"command": "stop"}

Skill → Aegis

jsonl

{"event": "annotation", "type": "ready", "request_id": "", "data": {"version": "1.0.0"}}
{"event": "annotation", "type": "datasets", "request_id": "req_001", "data": [...]}
{"event": "annotation", "type": "dataset", "request_id": "req_002", "data": {...}}
{"event": "annotation", "type": "saved", "request_id": "req_005", "data": {"frame_id": "f1", "count": 3}}
{"event": "annotation", "type": "exported", "request_id": "req_007", "data": {"path": "/path/to/coco.json"}}

Files

SKILL.md and 4 other files (scripts) in skills/annotation/dataset-management of SharpAI/DeepCamera.

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

Open the folder on GitHubat commit 933dcc7

Compare with similar skills

Annotation Data 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.

Annotation Data compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Annotation Data this skillSharpAI/DeepCamera	3.1k	—	~495	Automated safety check: Pass	MIT	20 days ago
Create HarnessKaggle/kaggle-environments	454	—	~8.9k	Automated safety check: Pass	Apache-2.0	yesterday
Dataset FinderLeoYeAI/openclaw-master-skills	2.2k	—	~5.4k	Automated safety check: Pass	Proprietary	2 mo ago
Kaggle Finetunemajiayu000/claude-skill-registry	666	1 repos	~1.9k	Automated safety check: Pass	Apache-2.0	today
Lilly Community Researchssaaffaakk/Lilly	171	—	~1.4k	Automated safety check: Pass	MIT	yesterday
Dataset Finder Guidewentorai/research-plugins	298	1 repos	~2.2k	Automated safety check: Pass	MIT	3 mo ago

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Questions about Annotation Data

What does Annotation Data do?

Dataset annotation management — COCO labels, sequences, export, and Kaggle upload. Annotation Data is an agent skill from SharpAI/DeepCamera.

When should I use Annotation Data?

Annotation Data fits situations like: AI & LLM Engineering work in your project.

How do I install Annotation Data in Claude Code?

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

How do I install Annotation Data in Codex?

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

Can I use Annotation Data 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 annotation-data -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/annotation-data, .gemini/skills/annotation-data, .github/skills/annotation-data and .opencode/skills/annotation-data in your project.

What does Annotation Data need to run?

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

Does Annotation Data 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 Annotation Data 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 Annotation Data use?

Annotation Data 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 Annotation Data use?

About 495 tokens (SKILL.md is roughly 2k 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 Annotation Data?

Skills that share tags, products or a category with Annotation Data: Create Harness (Kaggle/kaggle-environments, 454 stars), Dataset Finder (LeoYeAI/openclaw-master-skills, 2.2k stars), Kaggle Finetune (majiayu000/claude-skill-registry, 666 stars) and Lilly Community Research (ssaaffaakk/Lilly, 171 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Annotation Data?

SharpAI (a GitHub organization) maintains it in SharpAI/DeepCamera, which has 3,086 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.

Annotation Data

Install Annotation Data

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

Annotation Data Management

Protocol (stdin/stdout JSONL)

Aegis → Skill

Skill → Aegis

Files

Compare with similar skills

Similar skills

Create Harness

Dataset Finder

Kaggle Finetune

Lilly Community Research

Dataset Finder Guide

Agentic Kaggle Workflow

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Questions about Annotation Data

Install Annotation Data

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

Annotation Data Management

Protocol (stdin/stdout JSONL)

Aegis → Skill

Skill → Aegis

Files

Compare with similar skills

Similar skills

More from SharpAI/DeepCamera

Related

Questions about Annotation Data