Agent Builder
shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
Multi-camera RTSP to WebRTC streaming via go2rtc. An agent skill from SharpAI/DeepCamera.
$ npx skills add SharpAI/DeepCamera --skill go2rtc-cameras -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install SharpAI/DeepCamera go2rtc-cameras --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/SharpAI/DeepCamera.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/streaming/go2rtc-cameras .claude/skills/go2rtc-cameras && rm -rf skills-srcUse ~/.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/
Install the "go2rtc-cameras" agent skill from https://github.com/SharpAI/DeepCamera/tree/master/skills/streaming/go2rtc-cameras into .claude/skills/go2rtc-cameras/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "go2rtc-cameras", 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 install https://github.com/SharpAI/DeepCamera/tree/master/skills/streaming/go2rtc-camerasType 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.
$ npx skills add SharpAI/DeepCamera --skill go2rtc-cameras -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install SharpAI/DeepCamera go2rtc-cameras --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/SharpAI/DeepCamera.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/streaming/go2rtc-cameras .agents/skills/go2rtc-cameras && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "go2rtc-cameras" agent skill from https://github.com/SharpAI/DeepCamera/tree/master/skills/streaming/go2rtc-cameras into .agents/skills/go2rtc-cameras/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "go2rtc-cameras", 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.
$ npx skills add SharpAI/DeepCamera --skill go2rtc-cameras -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install SharpAI/DeepCamera go2rtc-cameras --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/SharpAI/DeepCamera.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/streaming/go2rtc-cameras .cursor/skills/go2rtc-cameras && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "go2rtc-cameras" agent skill from https://github.com/SharpAI/DeepCamera/tree/master/skills/streaming/go2rtc-cameras into .cursor/skills/go2rtc-cameras/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "go2rtc-cameras", 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 https://github.com/SharpAI/DeepCamera.git --path skills/streaming/go2rtc-cameras--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add SharpAI/DeepCamera --skill go2rtc-cameras -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install SharpAI/DeepCamera go2rtc-cameras --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/SharpAI/DeepCamera.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/streaming/go2rtc-cameras .gemini/skills/go2rtc-cameras && rm -rf skills-srcUse ~/.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/
Install the "go2rtc-cameras" agent skill from https://github.com/SharpAI/DeepCamera/tree/master/skills/streaming/go2rtc-cameras into .gemini/skills/go2rtc-cameras/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "go2rtc-cameras", 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.
$ gh skill install SharpAI/DeepCamera go2rtc-camerasInstalls 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).
$ npx skills add SharpAI/DeepCamera --skill go2rtc-cameras -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/SharpAI/DeepCamera.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/streaming/go2rtc-cameras .github/skills/go2rtc-cameras && rm -rf skills-srcUse ~/.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/
Install the "go2rtc-cameras" agent skill from https://github.com/SharpAI/DeepCamera/tree/master/skills/streaming/go2rtc-cameras into .github/skills/go2rtc-cameras/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "go2rtc-cameras", 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.
$ npx skills add SharpAI/DeepCamera --skill go2rtc-cameras -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install SharpAI/DeepCamera go2rtc-cameras --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/SharpAI/DeepCamera.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/streaming/go2rtc-cameras .opencode/skills/go2rtc-cameras && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "go2rtc-cameras" agent skill from https://github.com/SharpAI/DeepCamera/tree/master/skills/streaming/go2rtc-cameras into .opencode/skills/go2rtc-cameras/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "go2rtc-cameras", 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.
go2rtc-camerasMulti-camera RTSP to WebRTC streaming via go2rtc. An agent skill from SharpAI/DeepCamera.
Go2rtc Cameras is an agent skill from SharpAI/DeepCamera. Multi-camera RTSP to WebRTC streaming via go2rtc
Its SKILL.md is about 450 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `scripts/stream.py`).
It sits in AI & LLM Engineering. 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.
Read from SKILL.md and the folder at commit 933dcc7. It shows what the files ask for, not the result of running them.
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.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3pipFrom the folder's file list and the shell code blocks in SKILL.md.
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.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Go2rtc Cameras loads about 450 tokens when it runs. Until then it costs about 16 tokens; SKILL.md has 70 words of instructions outside code blocks.
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.
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.
The full file from SharpAI/DeepCamera at commit 933dcc7, republished under its MIT licence (© SharpAI). 70 words, ~450 tokens.
.claude/skills/go2rtc-cameras/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Registers RTSP camera streams with SharpAI Aegis's go2rtc sidecar for low-latency WebRTC live view in the browser.
Your Cameras (RTSP) go2rtc (in Aegis) Browser
─────────────────── ───────────────── ───────
rtsp://cam1:554/stream ───► /api/webrtc?src=cam1 ───► WebRTC Player
rtsp://cam2:554/stream ───► /api/webrtc?src=cam2 ───► WebRTC Player
rtsp://cam3:554/stream ───► /api/webrtc?src=cam3 ───► WebRTC Playergo2rtc accepts any stream source:
rtsp:// — standard RTSP camerasrtmp:// — RTMP streamshttp:// — MJPEG or HLS streamsffmpeg: — FFmpeg pipelineexec: — custom command{"event": "ready", "streams": 3}
{"event": "live_stream", "camera_id": "front_door", "camera_name": "Front Door", "url": "rtsp://192.168.1.100:554/stream1"}
{"event": "live_stream", "camera_id": "backyard", "camera_name": "Backyard", "url": "rtsp://192.168.1.101:554/stream1"}Aegis registers each stream with go2rtc via IPC:
go2rtc:add-stream → registers camerago2rtc:connection-info → returns WebRTC URL for playerpython3 -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt© SharpAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 2 other files (scripts) in skills/streaming/go2rtc-cameras of SharpAI/DeepCamera.
Open the folder on GitHubat commit 933dcc7
Go2rtc Cameras 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Go2rtc Cameras this skillSharpAI/DeepCamera | 3.1k | — | ~450 | Automated safety check: Pass | MIT | |
| Agent BuildershareAI-lab/learn-claude-code | 78k | 6 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Add Uint Supportpytorch/pytorch | 104k | 2 repos | ~2.3k | Automated safety check: Pass | Custom licence | |
| Peft Fine TuningOrchestra-Research/AI-Research-SKILLs | 13k | 9 repos | ~3.1k | Automated safety check: Pass | MIT | |
| Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs | 13k | 9 repos | ~3.3k | Automated safety check: Pass | MIT | |
| 1passwordtrpc-group/trpc-agent-go | 1.8k | 15 repos | ~656 | Automated safety check: Pass | Apache-2.0 |
shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
pytorch/pytorch
Add unsigned integer (uint) type support to PyTorch operators by updating ATDISPATCH macros.
Orchestra-Research/AI-Research-SKILLs
Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods.
Orchestra-Research/AI-Research-SKILLs
Guide to using Meta's Segment Anything Model for zero-shot image segmentation with point, box or mask prompts, or automatic mask generation.
trpc-group/trpc-agent-go
Set up and use 1Password CLI (op). An agent skill from trpc-group/trpc-agent-go.
Orchestra-Research/AI-Research-SKILLs
Shows how to store documents and embeddings in Chroma, query them by similarity with metadata filters, and persist them to disk for RAG and semantic search projects.
SharpAI/DeepCamera
AI-assisted dataset annotation with COCO export — bbox, SAM2, DINOv3 methods
SharpAI/DeepCamera
Real-time depth map privacy transforms using Depth Anything v2 (CoreML + PyTorch)
SharpAI/DeepCamera
Interactive click-to-segment using Segment Anything 2 — AI-assisted labeling for Annotation Studio
SharpAI/DeepCamera
YOLO 2026 — state-of-the-art real-time object detection. An agent skill from SharpAI/DeepCamera.
SharpAI/DeepCamera
Google Coral Edge TPU — real-time object detection natively (macOS / Linux)
SharpAI/DeepCamera
Google Coral Edge TPU — real-time object detection natively via Windows WSL
Categories
Multi-camera RTSP to WebRTC streaming via go2rtc. An agent skill from SharpAI/DeepCamera. Go2rtc Cameras is an agent skill from SharpAI/DeepCamera.
Go2rtc Cameras fits situations like: AI & LLM Engineering work in your project.
Run `npx skills add SharpAI/DeepCamera --skill go2rtc-cameras -a claude-code`. Or copy the skill folder (skills/streaming/go2rtc-cameras in SharpAI/DeepCamera) into .claude/skills/go2rtc-cameras in your project. Claude Code loads it when a task matches its description.
Run `npx skills add SharpAI/DeepCamera --skill go2rtc-cameras -a codex`. Or copy the skill folder (skills/streaming/go2rtc-cameras in SharpAI/DeepCamera) into .agents/skills/go2rtc-cameras in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add SharpAI/DeepCamera --skill go2rtc-cameras -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/go2rtc-cameras, .gemini/skills/go2rtc-cameras, .github/skills/go2rtc-cameras and .opencode/skills/go2rtc-cameras in your project.
Going by SKILL.md and its folder, Go2rtc Cameras needs Python for the scripts in its folder and the command-line tools its instructions call (python3 and pip). Our summary lists: Python 3.
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.
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.
Go2rtc Cameras is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 450 tokens (SKILL.md is roughly 1.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Go2rtc Cameras: Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Add Uint Support (pytorch/pytorch, 104k stars), Peft Fine Tuning (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.