Go2rtc Cameras

OrganizationPopular

SharpAI

go2rtc-cameras

Multi-camera RTSP to WebRTC streaming via go2rtc

Overview

Publisher	SharpAI
Repository	`DeepCamera`
Skill name	`go2rtc-cameras`
Stars	3.1K
Forks	478
Bundled files	2
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
2 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by SharpAI on GitHub. Read the source before you install it.

Installation

Install the Go2rtc Cameras AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/SharpAI/DeepCamera.git /tmp/DeepCamera
mkdir -p .claude/skills
cp -r /tmp/DeepCamera/skills/streaming/go2rtc-cameras .claude/skills/go2rtc-cameras

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Go2rtc Cameras in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Go2rtc Cameras on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Go2rtc Cameras is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

go2rtc Multi-Camera Streaming

Registers RTSP camera streams with SharpAI Aegis's go2rtc sidecar for low-latency WebRTC live view in the browser.

How It Works


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 Player

Supported Sources

go2rtc accepts any stream source:

rtsp:// — standard RTSP cameras
rtmp:// — RTMP streams
http:// — MJPEG or HLS streams
ffmpeg: — FFmpeg pipeline
exec: — custom command

Protocol

Skill → Aegis (stdout)

jsonl
{"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 camera
go2rtc:connection-info → returns WebRTC URL for player

Setup

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

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

requirements.txt1 KB
scripts/stream.py2 KB

Frequently asked questions

What does the Go2rtc Cameras AI skill do?

Multi-camera RTSP to WebRTC streaming via go2rtc

Why use Go2rtc Cameras on TypingMind?

Because you install it once and use it with any model. Go2rtc Cameras is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Go2rtc Cameras in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/SharpAI/DeepCamera/tree/master/skills/streaming/go2rtc-cameras. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Go2rtc Cameras?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Go2rtc Cameras?

As many as you like. As long as a model supports skills, you can use Go2rtc Cameras with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Go2rtc Cameras AI skill free?

Yes. It is published on GitHub by SharpAI under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Setup Matt Pocock Skills

mattpocock

CommunityPopular

Configure this repo for the engineering skills: set up its issue tracker, triage label vocabulary, and domain doc layout. Run once before first use of the other engineering skills.

Tdd

Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests.

To Spec

Turn the current conversation into a spec and publish it to the project issue tracker: no interview, just synthesis of what you've already discussed.

To Tickets

Break a plan, spec, or the current conversation into a set of tracer-bullet tickets, each declaring its blocking edges, published to the configured tracker (edges as text in one file per ticket…

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

go2rtc Multi-Camera Streaming

How It Works

Supported Sources

Protocol

Skill → Aegis (stdout)

Setup

Bundled files

Frequently asked questions

Related AI Skills

Set up your own AI workspace now