
livestream-engineer
Expert in live streaming, WebRTC, and real-time video/audio
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/daffy0208/ai-dev-standards --skill livestream-engineer- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads livestream-engineer automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Livestream Engineer Skill
I help you build live streaming features, implement WebRTC, and create real-time broadcasting experiences.
What I Do
Live Streaming:
- WebRTC peer-to-peer video
- Live broadcasting
- Screen sharing
- Real-time chat
Streaming Platforms:
- Twitch-style streaming
- Video conferencing
- Live events
- Webinars
WebRTC Basics
Peer-to-Peer Video Call
// lib/webrtc.ts
export class WebRTCConnection {
private peerConnection: RTCPeerConnection
private localStream: MediaStream | null = null
constructor() {
this.peerConnection = new RTCPeerConnection({
iceServers: [{ urls: 'stun:stun.l.google.com:19302' }]
})
}
async startLocalStream() {
try {
this.localStream = await navigator.mediaDevices.getUserMedia({
video: true,
audio: true
})
this.localStream.getTracks().forEach(track => {
this.peerConnection.addTrack(track, this.localStream!)
})
return this.localStream
} catch (error) {
console.error('Failed to get local stream:', error)
throw error
}
}
async createOffer() {
const offer = await this.peerConnection.createOffer()
await this.peerConnection.setLocalDescription(offer)
return offer
}
async handleAnswer(answer: RTCSessionDescriptionInit) {
await this.peerConnection.setRemoteDescription(answer)
}
async handleOffer(offer: RTCSessionDescriptionInit) {
await this.peerConnection.setRemoteDescription(offer)
const answer = await this.peerConnection.createAnswer()
await this.peerConnection.setLocalDescription(answer)
return answer
}
addIceCandidate(candidate: RTCIceCandidateInit) {
return this.peerConnection.addIceCandidate(candidate)
}
onTrack(callback: (stream: MediaStream) => void) {
this.peerConnection.ontrack = event => {
callback(event.streams[0])
}
}
onIceCandidate(callback: (candidate: RTCIceCandidate) => void) {
this.peerConnection.onicecandidate = event => {
if (event.candidate) {
callback(event.candidate)
}
}
}
close() {
this.localStream?.getTracks().forEach(track => track.stop())
this.peerConnection.close()
}
}
Usage:
'use client'
import { useEffect, useRef, useState } from 'react'
import { WebRTCConnection } from '@/lib/webrtc'
export function VideoCall() {
const localVideoRef = useRef<HTMLVideoElement>(null)
const remoteVideoRef = useRef<HTMLVideoElement>(null)
const [connection] = useState(() => new WebRTCConnection())
useEffect(() => {
const init = async () => {
// Start local stream
const stream = await connection.startLocalStream()
if (localVideoRef.current) {
localVideoRef.current.srcObject = stream
}
// Handle remote stream
connection.onTrack((remoteStream) => {
if (remoteVideoRef.current) {
remoteVideoRef.current.srcObject = remoteStream
}
})
// Handle ICE candidates
connection.onIceCandidate((candidate) => {
// Send candidate to other peer via signaling server
socket.emit('ice-candidate', candidate)
})
}
init()
return () => {
connection.close()
}
}, [connection])
return (
<div className="grid grid-cols-2 gap-4">
<div>
<h3>You</h3>
<video ref={localVideoRef} autoPlay muted className="w-full" />
</div>
<div>
<h3>Remote</h3>
<video ref={remoteVideoRef} autoPlay className="w-full" />
</div>
</div>
)
}
Screen Sharing
'use client'
import { useRef, useState } from 'react'
export function ScreenShare() {
const videoRef = useRef<HTMLVideoElement>(null)
const [sharing, setSharing] = useState(false)
const [stream, setStream] = useState<MediaStream | null>(null)
const startSharing = async () => {
try {
const mediaStream = await navigator.mediaDevices.getDisplayMedia({
video: {
cursor: 'always'
},
audio: false
})
setStream(mediaStream)
if (videoRef.current) {
videoRef.current.srcObject = mediaStream
}
setSharing(true)
// Handle when user stops sharing via browser UI
mediaStream.getVideoTracks()[0].onended = () => {
stopSharing()
}
} catch (error) {
console.error('Failed to start screen sharing:', error)
}
}
const stopSharing = () => {
stream?.getTracks().forEach(track => track.stop())
setStream(null)
setSharing(false)
}
return (
<div>
<video ref={videoRef} autoPlay className="w-full bg-black rounded" />
<button
onClick={sharing ? stopSharing : startSharing}
className={`mt-4 px-6 py-3 rounded ${
sharing ? 'bg-red-600' : 'bg-blue-600'
} text-white`}
>
{sharing ? '⏹️ Stop Sharing' : '🖥️ Share Screen'}
</button>
</div>
)
}
Live Streaming with Chat
// components/LiveStream.tsx
'use client'
import { useState, useEffect, useRef } from 'react'
import { io, Socket } from 'socket.io-client'
interface ChatMessage {
user: string
message: string
timestamp: Date
}
export function LiveStream({ streamId }: { streamId: string }) {
const videoRef = useRef<HTMLVideoElement>(null)
const [socket, setSocket] = useState<Socket | null>(null)
const [messages, setMessages] = useState<ChatMessage[]>([])
const [messageInput, setMessageInput] = useState('')
const [viewers, setViewers] = useState(0)
useEffect(() => {
// Connect to streaming server
const newSocket = io('wss://streaming-server.com')
setSocket(newSocket)
// Join stream room
newSocket.emit('join-stream', streamId)
// Receive viewer count
newSocket.on('viewer-count', (count: number) => {
setViewers(count)
})
// Receive chat messages
newSocket.on('chat-message', (msg: ChatMessage) => {
setMessages(prev => [...prev, msg])
})
// Receive video stream chunks (simplified)
newSocket.on('stream-data', (data: ArrayBuffer) => {
// Handle stream data
})
return () => {
newSocket.disconnect()
}
}, [streamId])
const sendMessage = () => {
if (!socket || !messageInput.trim()) return
socket.emit('chat-message', {
user: 'Anonymous',
message: messageInput,
timestamp: new Date()
})
setMessageInput('')
}
return (
<div className="grid md:grid-cols-3 gap-4">
{/* Video Player */}
<div className="md:col-span-2">
<div className="bg-black rounded-lg overflow-hidden">
<video
ref={videoRef}
autoPlay
controls
className="w-full aspect-video"
/>
<div className="p-4 bg-gray-900 text-white">
<h2 className="text-xl font-bold">Live Stream Title</h2>
<p className="text-sm text-gray-400">
🔴 {viewers} watching now
</p>
</div>
</div>
</div>
{/* Chat */}
<div className="flex flex-col h-[600px]">
<div className="bg-gray-100 p-4 rounded-t-lg font-semibold">
Live Chat
</div>
<div className="flex-1 overflow-y-auto p-4 bg-white border-x">
{messages.map((msg, i) => (
<div key={i} className="mb-3">
<span className="font-semibold text-blue-600">{msg.user}:</span>
<span className="ml-2">{msg.message}</span>
</div>
))}
</div>
<div className="p-4 bg-gray-100 rounded-b-lg">
<input
type="text"
value={messageInput}
onChange={(e) => setMessageInput(e.target.value)}
onKeyPress={(e) => e.key === 'Enter' && sendMessage()}
placeholder="Say something..."
className="w-full px-4 py-2 border rounded"
/>
</div>
</div>
</div>
)
}
Broadcasting Dashboard
// components/BroadcastDashboard.tsx
'use client'
import { useState, useRef } from 'react'
export function BroadcastDashboard() {
const videoRef = useRef<HTMLVideoElement>(null)
const [broadcasting, setBroadcasting] = useState(false)
const [stream, setStream] = useState<MediaStream | null>(null)
const [viewers, setViewers] = useState(0)
const startBroadcast = async () => {
try {
const mediaStream = await navigator.mediaDevices.getUserMedia({
video: {
width: { ideal: 1920 },
height: { ideal: 1080 }
},
audio: {
echoCancellation: true,
noiseSuppression: true
}
})
setStream(mediaStream)
if (videoRef.current) {
videoRef.current.srcObject = mediaStream
}
// Start broadcasting to server
// (Implementation depends on streaming protocol)
setBroadcasting(true)
} catch (error) {
console.error('Failed to start broadcast:', error)
}
}
const stopBroadcast = () => {
stream?.getTracks().forEach(track => track.stop())
setStream(null)
setBroadcasting(false)
}
return (
<div className="max-w-4xl mx-auto p-6">
<div className="mb-6">
<h1 className="text-3xl font-bold">Broadcast Dashboard</h1>
{broadcasting && (
<p className="text-green-600 font-semibold mt-2">
🔴 LIVE - {viewers} viewers
</p>
)}
</div>
<div className="bg-black rounded-lg overflow-hidden mb-6">
<video
ref={videoRef}
autoPlay
muted
className="w-full aspect-video"
/>
</div>
<div className="flex gap-4">
<button
onClick={broadcasting ? stopBroadcast : startBroadcast}
className={`flex-1 py-3 rounded-lg font-semibold ${
broadcasting
? 'bg-red-600 text-white'
: 'bg-blue-600 text-white'
}`}
>
{broadcasting ? '⏹️ End Broadcast' : '🔴 Start Broadcast'}
</button>
{broadcasting && (
<button className="px-6 py-3 bg-gray-200 rounded-lg">
⚙️ Settings
</button>
)}
</div>
</div>
)
}
Multi-Party Video Conference
// components/VideoConference.tsx
'use client'
import { useEffect, useState, useRef } from 'react'
interface Participant {
id: string
name: string
stream: MediaStream
}
export function VideoConference() {
const [participants, setParticipants] = useState<Participant[]>([])
const localVideoRef = useRef<HTMLVideoElement>(null)
useEffect(() => {
// Initialize local stream
navigator.mediaDevices.getUserMedia({ video: true, audio: true })
.then(stream => {
if (localVideoRef.current) {
localVideoRef.current.srcObject = stream
}
})
}, [])
return (
<div className="p-6">
<div className="grid grid-cols-2 md:grid-cols-3 lg:grid-cols-4 gap-4">
{/* Local video */}
<div className="relative bg-black rounded-lg overflow-hidden">
<video
ref={localVideoRef}
autoPlay
muted
className="w-full aspect-video object-cover"
/>
<div className="absolute bottom-2 left-2 bg-black/70 text-white px-2 py-1 rounded text-sm">
You
</div>
</div>
{/* Remote participants */}
{participants.map((participant) => (
<div key={participant.id} className="relative bg-black rounded-lg overflow-hidden">
<video
autoPlay
className="w-full aspect-video object-cover"
ref={(video) => {
if (video) video.srcObject = participant.stream
}}
/>
<div className="absolute bottom-2 left-2 bg-black/70 text-white px-2 py-1 rounded text-sm">
{participant.name}
</div>
</div>
))}
</div>
<div className="mt-6 flex justify-center gap-4">
<button className="px-6 py-3 bg-red-600 text-white rounded-lg">
🎤 Mute
</button>
<button className="px-6 py-3 bg-red-600 text-white rounded-lg">
📹 Stop Video
</button>
<button className="px-6 py-3 bg-blue-600 text-white rounded-lg">
🖥️ Share Screen
</button>
<button className="px-6 py-3 bg-red-600 text-white rounded-lg">
📞 Leave Call
</button>
</div>
</div>
)
}
When to Use Me
Perfect for:
- Building video call features
- Creating livestream platforms
- Implementing screen sharing
- Building webinar tools
- Creating video conferencing apps
I'll help you:
- Implement WebRTC
- Build broadcast features
- Add screen sharing
- Create video conferencing
- Handle real-time chat
What I'll Create
🎥 Live Streaming
📹 Video Calls
🖥️ Screen Sharing
💬 Real-Time Chat
👥 Multi-Party Conferences
🔴 Broadcasting Tools
Let's build amazing live experiences!
FAQ
What does the livestream-engineer skill do?
Expert in live streaming, WebRTC, and real-time video/audio
How do I install livestream-engineer?
Run npx skills add https://github.com/daffy0208/ai-dev-standards --skill livestream-engineer in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/livestream-engineer/ (personal) or .claude/skills/livestream-engineer/ (project).
Which AI agents can use livestream-engineer?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is livestream-engineer safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains livestream-engineer?
It is published by daffy0208 in daffy0208/ai-dev-standards. It has 209 recorded installs.
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