Agent skill

Depth Estimation

Real-time depth map privacy transforms using Depth Anything v2 (CoreML + PyTorch)

MITAuto-check passedAI & LLM Engineering

Install Depth Estimation

skills CLI

$ npx skills add SharpAI/DeepCamera --skill depth-estimation -a claude-code

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

GitHub CLI

$ gh skill install SharpAI/DeepCamera depth-estimation --agent claude-code

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

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

Paste into Claude Code

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

skills CLI

$ npx skills add SharpAI/DeepCamera --skill depth-estimation -a codex

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

GitHub CLI

$ gh skill install SharpAI/DeepCamera depth-estimation --agent codex

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

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

Paste into Codex

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

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

GitHub CLI

$ gh skill install SharpAI/DeepCamera depth-estimation --agent cursor

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

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

Paste into Cursor

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

skills CLI

$ npx skills add SharpAI/DeepCamera --skill depth-estimation -a gemini-cli

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

GitHub CLI

$ gh skill install SharpAI/DeepCamera depth-estimation --agent gemini-cli

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

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

Paste into Gemini CLI

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

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 depth-estimation -a github-copilot

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

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

Paste into GitHub Copilot

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

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

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

Paste into OpenCode

Install the "depth-estimation" agent skill from https://github.com/SharpAI/DeepCamera/tree/master into .opencode/skills/depth-estimation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "depth-estimation", 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: depth-estimation
GitHub stars: 3.1k
Token cost: ~945 tokens
SKILL.md length: 161 words
Files: 1,589 (incl. scripts)
Skills in repo: 15
Repo updated: Sep 17, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Real-time depth map privacy transforms using Depth Anything v2 (CoreML + PyTorch)

Tasks that involve Deep learning
SKILL.md covers Hardware Backends, What You Get, Interface: TransformSkillBase and Protocol, plus 1 more section
Calls python3 and pip

What it does

Depth Estimation is an agent skill from SharpAI/DeepCamera. Real-time depth map privacy transforms using Depth Anything v2 (CoreML + PyTorch)

Its SKILL.md is about 950 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1593 other files, including scripts (for example `.agents/workflows/branch-management.md`, `.agents/workflows/command-execution.md` and `.github/FUNDING.yml`).

It sits in AI & LLM Engineering, covering Deep learning. It works with PyTorch. 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 Deep learning

Example prompts

“/depth-estimation”

Requirements

Python 3

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/, which the agent can run.
Shell commands in SKILL.md call:
- python3
- pip
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
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

Depth Estimation loads about 945 tokens when it runs. Until then it costs about 25 tokens; SKILL.md has 161 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~25
When it runs · the whole SKILL.md, loaded when a task matches: ~945

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). 161 words, ~945 tokens.

Download SKILL.mdSave it as .claude/skills/depth-estimation/SKILL.md (or your agent's skills folder). This skill also uses 1588 other files; get the full folder from GitHub.

name: depth-estimation
description: Real-time depth map privacy transforms using Depth Anything v2 (CoreML + PyTorch)
version: 1.2.0
category: privacy

Depth Estimation (Privacy)

Real-time monocular depth estimation using Depth Anything v2. Transforms camera feeds with colorized depth maps — near objects appear warm, far objects appear cool.

When used for privacy mode, the depth_only blend mode fully anonymizes the scene while preserving spatial layout and activity, enabling security monitoring without revealing identities.

Hardware Backends

Platform	Backend	Runtime	Model
macOS	CoreML	Apple Neural Engine	`apple/coreml-depth-anything-v2-small` (.mlpackage)
Linux/Windows	PyTorch	CUDA / CPU	`depth-anything/Depth-Anything-V2-Small` (.pth)

On macOS, CoreML runs on the Neural Engine, leaving the GPU free for other tasks. The model is auto-downloaded from HuggingFace and stored at ~/.aegis-ai/models/feature-extraction/.

What You Get

Privacy anonymization — depth-only mode hides all visual identity
Depth overlays on live camera feeds
3D scene understanding — spatial layout of the scene
CoreML acceleration — Neural Engine on Apple Silicon (3-5x faster than MPS)

Interface: TransformSkillBase

This skill implements the TransformSkillBase interface. Any new privacy skill can be created by subclassing TransformSkillBase and implementing two methods:

python

from transform_base import TransformSkillBase

class MyPrivacySkill(TransformSkillBase):
    def load_model(self, config):
        # Load your model, return {"model": "...", "device": "..."}
        ...

    def transform_frame(self, image, metadata):
        # Transform BGR image, return BGR image
        ...

Protocol

Aegis → Skill (stdin)

jsonl

{"event": "frame", "frame_id": "cam1_1710001", "camera_id": "front_door", "frame_path": "/tmp/frame.jpg", "timestamp": "..."}
{"command": "config-update", "config": {"opacity": 0.8, "blend_mode": "overlay"}}
{"command": "stop"}

Skill → Aegis (stdout)

jsonl

{"event": "ready", "model": "coreml-DepthAnythingV2SmallF16", "device": "neural_engine", "backend": "coreml"}
{"event": "transform", "frame_id": "cam1_1710001", "camera_id": "front_door", "transform_data": "<base64 JPEG>"}
{"event": "perf_stats", "total_frames": 50, "timings_ms": {"transform": {"avg": 12.5, ...}}}

Setup

bash

python3 -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt

Files

SKILL.md and 1,588 other files (scripts) in the repository root of SharpAI/DeepCamera.

SKILL.md
.agents/workflows/branch-management.md
.agents/workflows/command-execution.md
.github/FUNDING.yml
.github/ISSUE_TEMPLATE/bug_report.md
.github/ISSUE_TEMPLATE/custom.md
.github/ISSUE_TEMPLATE/feature_request.md
.github/workflows/jekyll-gh-pages.yml
.github/workflows/pr-target-check.yml
.gitignore
.travis.yml
CODE_OF_CONDUCT.md
CONTRIBUTING.md
Contributions.md
LICENSE
README.md
… and 1,573 more

Open the folder on GitHubat commit 933dcc7

Compare with similar skills

Depth Estimation 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.

Depth Estimation compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Depth Estimation this skillSharpAI/DeepCamera	3.1k	—	~945	Automated safety check: Pass	MIT	22 days ago
Add Uint Supportpytorch/pytorch	104k	2 repos	~2.3k	Automated safety check: Pass	Custom licence	today
CLIP Image-Text MatchingOrchestra-Research/AI-Research-SKILLs	13k	7 repos	~1.7k	Automated safety check: Pass	MIT	3 mo ago
Add Torch Shapes Examplefacebook/pyrefly	7.1k	—	~1.3k	Automated safety check: Pass	MIT	today
MUSA GPU Training Optimizeropen-infra-skills/infra-skills	141	—	~1.7k	Automated safety check: Pass	Apache-2.0	3 mo ago
Ghstack CIpytorch/pytorch	104k	—	~1.4k	Automated safety check: Pass	Custom licence	today

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Questions about Depth Estimation

What does Depth Estimation do?

Real-time depth map privacy transforms using Depth Anything v2 (CoreML + PyTorch). Depth Estimation is an agent skill from SharpAI/DeepCamera.

When should I use Depth Estimation?

Depth Estimation fits situations like: tasks that involve Deep learning.

How do I install Depth Estimation in Claude Code?

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

How do I install Depth Estimation in Codex?

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

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

What does Depth Estimation need to run?

Going by SKILL.md and its folder, Depth Estimation needs the command-line tools its instructions call (python3 and pip). Our summary lists: Python 3.

Does Depth Estimation access the network?

SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Depth Estimation 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 Depth Estimation use?

Depth Estimation is published under the MIT licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Depth Estimation use?

About 945 tokens (SKILL.md is roughly 3.8k 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 Depth Estimation?

Skills that share tags, products or a category with Depth Estimation: Add Uint Support (pytorch/pytorch, 104k stars), CLIP Image-Text Matching (Orchestra-Research/AI-Research-SKILLs, 13k stars), Add Torch Shapes Example (facebook/pyrefly, 7.1k stars) and MUSA GPU Training Optimizer (open-infra-skills/infra-skills, 141 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Depth Estimation?

SharpAI (a GitHub organization) maintains it in SharpAI/DeepCamera, which has 3,091 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.

Install Depth Estimation

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

Depth Estimation (Privacy)

Hardware Backends

What You Get

Interface: TransformSkillBase

Protocol

Aegis → Skill (stdin)

Skill → Aegis (stdout)

Setup

Files

Compare with similar skills

Similar skills

More from SharpAI/DeepCamera

Related

Questions about Depth Estimation