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streaming-patterns流模式

Agent Skill

streaming-patterns 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

465

周安装

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GitHub Stars

2

下载量

150
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:streaming-patterns(流模式)
来源仓库:https://github.com/mindmorass/reflex
仓库路径:skills/streaming-patterns
安装命令:
npx skills add https://github.com/mindmorass/reflex --skill streaming-patterns
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/mindmorass/reflex --skill streaming-patterns

简介

用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。

  • 支持基于关键词、任务场景或来源线索进行信息筛选与整理。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装使用。
  • 安装前需确认权限范围、维护状态及是否触发联网或文件操作。
  • streaming-patterns 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Live Streaming Patterns

Best practices for live streaming to YouTube, Twitch, and other platforms.

Platform Configuration

YouTube Live

from googleapiclient.discovery import build
from google.oauth2.credentials import Credentials

def create_youtube_broadcast(
    credentials: Credentials,
    title: str,
    description: str,
    scheduled_start: str,
    privacy: str = "unlisted"
):
    """Create a YouTube live broadcast."""
    youtube = build('youtube', 'v3', credentials=credentials)

    # Create broadcast
    broadcast = youtube.liveBroadcasts().insert(
        part="snippet,status,contentDetails",
        body={
            "snippet": {
                "title": title,
                "description": description,
                "scheduledStartTime": scheduled_start
            },
            "status": {
                "privacyStatus": privacy,
                "selfDeclaredMadeForKids": False
            },
            "contentDetails": {
                "enableAutoStart": True,
                "enableAutoStop": True,
                "enableDvr": True,
                "recordFromStart": True
            }
        }
    ).execute()

    # Create stream
    stream = youtube.liveStreams().insert(
        part="snippet,cdn",
        body={
            "snippet": {
                "title": f"Stream for {title}"
            },
            "cdn": {
                "frameRate": "60fps",
                "ingestionType": "rtmp",
                "resolution": "1080p"
            }
        }
    ).execute()

    # Bind stream to broadcast
    youtube.liveBroadcasts().bind(
        part="id,contentDetails",
        id=broadcast['id'],
        streamId=stream['id']
    ).execute()

    return {
        "broadcast_id": broadcast['id'],
        "stream_key": stream['cdn']['ingestionInfo']['streamName'],
        "rtmp_url": stream['cdn']['ingestionInfo']['ingestionAddress'],
        "watch_url": f"https://youtube.com/watch?v={broadcast['id']}"
    }

def transition_broadcast(credentials: Credentials, broadcast_id: str, status: str):
    """Transition broadcast status: testing, live, complete."""
    youtube = build('youtube', 'v3', credentials=credentials)

    return youtube.liveBroadcasts().transition(
        broadcastStatus=status,
        id=broadcast_id,
        part="status"
    ).execute()

Twitch

import requests

class TwitchAPI:
    def __init__(self, client_id: str, access_token: str):
        self.client_id = client_id
        self.access_token = access_token
        self.base_url = "https://api.twitch.tv/helix"
        self.headers = {
            "Client-ID": client_id,
            "Authorization": f"Bearer {access_token}"
        }

    def get_stream_key(self, broadcaster_id: str) -> str:
        """Get stream key for broadcaster."""
        response = requests.get(
            f"{self.base_url}/streams/key",
            headers=self.headers,
            params={"broadcaster_id": broadcaster_id}
        )
        return response.json()['data'][0]['stream_key']

    def update_stream_info(
        self,
        broadcaster_id: str,
        title: str,
        game_id: str = None,
        language: str = "en"
    ):
        """Update stream title and category."""
        data = {
            "broadcaster_id": broadcaster_id,
            "title": title,
            "broadcaster_language": language
        }
        if game_id:
            data["game_id"] = game_id

        return requests.patch(
            f"{self.base_url}/channels",
            headers=self.headers,
            json=data
        )

    def get_stream_status(self, user_login: str) -> dict:
        """Check if channel is live."""
        response = requests.get(
            f"{self.base_url}/streams",
            headers=self.headers,
            params={"user_login": user_login}
        )
        data = response.json()['data']
        return data[0] if data else None

    def create_clip(self, broadcaster_id: str) -> dict:
        """Create clip from live stream."""
        response = requests.post(
            f"{self.base_url}/clips",
            headers=self.headers,
            params={"broadcaster_id": broadcaster_id}
        )
        return response.json()['data'][0]

RTMP Streaming

FFmpeg RTMP Push

# Stream to YouTube
ffmpeg -re -i input.mp4 \
    -c:v libx264 -preset veryfast -maxrate 4500k -bufsize 9000k \
    -pix_fmt yuv420p -g 60 \
    -c:a aac -b:a 160k -ar 44100 \
    -f flv "rtmp://a.rtmp.youtube.com/live2/YOUR_STREAM_KEY"

# Stream to Twitch
ffmpeg -re -i input.mp4 \
    -c:v libx264 -preset veryfast -maxrate 6000k -bufsize 12000k \
    -pix_fmt yuv420p -g 60 \
    -c:a aac -b:a 160k -ar 44100 \
    -f flv "rtmp://live.twitch.tv/app/YOUR_STREAM_KEY"

# Stream desktop (macOS)
ffmpeg -f avfoundation -framerate 30 -i "1:0" \
    -c:v libx264 -preset ultrafast -tune zerolatency \
    -c:a aac -b:a 128k \
    -f flv "rtmp://destination/stream_key"

# Stream desktop (Linux)
ffmpeg -f x11grab -framerate 30 -video_size 1920x1080 -i :0.0 \
    -f pulse -i default \
    -c:v libx264 -preset ultrafast -tune zerolatency \
    -c:a aac -b:a 128k \
    -f flv "rtmp://destination/stream_key"

Multi-Platform Streaming

# Using tee muxer to stream to multiple platforms
ffmpeg -re -i input.mp4 \
    -c:v libx264 -preset veryfast -b:v 4500k \
    -c:a aac -b:a 160k \
    -f tee -map 0:v -map 0:a \
    "[f=flv]rtmp://a.rtmp.youtube.com/live2/YT_KEY|\
     [f=flv]rtmp://live.twitch.tv/app/TWITCH_KEY|\
     [f=flv]rtmp://live-api-s.facebook.com:443/rtmp/FB_KEY"

Python RTMP Handler

import subprocess
from dataclasses import dataclass
from typing import List, Optional

@dataclass
class StreamDestination:
    name: str
    rtmp_url: str
    stream_key: str

    @property
    def full_url(self) -> str:
        return f"{self.rtmp_url}/{self.stream_key}"

class MultiStreamer:
    def __init__(
        self,
        input_source: str,
        destinations: List[StreamDestination],
        video_bitrate: str = "4500k",
        audio_bitrate: str = "160k"
    ):
        self.input_source = input_source
        self.destinations = destinations
        self.video_bitrate = video_bitrate
        self.audio_bitrate = audio_bitrate
        self.process: Optional[subprocess.Popen] = None

    def build_command(self) -> List[str]:
        """Build FFmpeg command for multi-platform streaming."""
        cmd = [
            "ffmpeg",
            "-re", "-i", self.input_source,
            "-c:v", "libx264",
            "-preset", "veryfast",
            "-b:v", self.video_bitrate,
            "-maxrate", self.video_bitrate,
            "-bufsize", str(int(self.video_bitrate[:-1]) * 2) + "k",
            "-pix_fmt", "yuv420p",
            "-g", "60",
            "-c:a", "aac",
            "-b:a", self.audio_bitrate,
            "-ar", "44100"
        ]

        if len(self.destinations) == 1:
            cmd.extend(["-f", "flv", self.destinations[0].full_url])
        else:
            # Use tee muxer for multiple destinations
            tee_outputs = "|".join(
                f"[f=flv]{dest.full_url}" for dest in self.destinations
            )
            cmd.extend([
                "-f", "tee",
                "-map", "0:v", "-map", "0:a",
                tee_outputs
            ])

        return cmd

    def start(self):
        """Start streaming."""
        cmd = self.build_command()
        self.process = subprocess.Popen(
            cmd,
            stdout=subprocess.PIPE,
            stderr=subprocess.PIPE
        )

    def stop(self):
        """Stop streaming."""
        if self.process:
            self.process.terminate()
            self.process.wait()

OBS WebSocket Integration

import obswebsocket
from obswebsocket import obsws, requests as obs_requests

class OBSController:
    def __init__(self, host: str = "localhost", port: int = 4455, password: str = ""):
        self.ws = obsws(host, port, password)

    def connect(self):
        self.ws.connect()

    def disconnect(self):
        self.ws.disconnect()

    def start_streaming(self):
        """Start OBS streaming."""
        self.ws.call(obs_requests.StartStream())

    def stop_streaming(self):
        """Stop OBS streaming."""
        self.ws.call(obs_requests.StopStream())

    def start_recording(self):
        """Start OBS recording."""
        self.ws.call(obs_requests.StartRecord())

    def stop_recording(self):
        """Stop OBS recording."""
        self.ws.call(obs_requests.StopRecord())

    def switch_scene(self, scene_name: str):
        """Switch to a different scene."""
        self.ws.call(obs_requests.SetCurrentProgramScene(sceneName=scene_name))

    def get_scenes(self) -> list:
        """Get list of available scenes."""
        response = self.ws.call(obs_requests.GetSceneList())
        return [scene['sceneName'] for scene in response.getScenes()]

    def set_source_visibility(self, scene: str, source: str, visible: bool):
        """Show or hide a source in a scene."""
        self.ws.call(obs_requests.SetSceneItemEnabled(
            sceneName=scene,
            sceneItemId=self._get_source_id(scene, source),
            sceneItemEnabled=visible
        ))

    def _get_source_id(self, scene: str, source: str) -> int:
        """Get source ID by name."""
        response = self.ws.call(obs_requests.GetSceneItemId(
            sceneName=scene,
            sourceName=source
        ))
        return response.getSceneItemId()

    def set_stream_settings(self, server: str, key: str):
        """Update stream settings."""
        self.ws.call(obs_requests.SetStreamServiceSettings(
            streamServiceType="rtmp_common",
            streamServiceSettings={
                "server": server,
                "key": key
            }
        ))

Stream Automation

Scheduled Stream

import asyncio
from datetime import datetime, timedelta
from typing import Callable

class StreamScheduler:
    def __init__(self):
        self.scheduled_streams = []

    async def schedule_stream(
        self,
        start_time: datetime,
        duration: timedelta,
        start_callback: Callable,
        stop_callback: Callable
    ):
        """Schedule a stream for a specific time."""
        now = datetime.now()
        delay = (start_time - now).total_seconds()

        if delay > 0:
            await asyncio.sleep(delay)

        # Start stream
        await start_callback()

        # Wait for duration
        await asyncio.sleep(duration.total_seconds())

        # Stop stream
        await stop_callback()

# Usage
async def main():
    scheduler = StreamScheduler()
    obs = OBSController()
    obs.connect()

    start_time = datetime.now() + timedelta(minutes=5)
    duration = timedelta(hours=2)

    await scheduler.schedule_stream(
        start_time=start_time,
        duration=duration,
        start_callback=lambda: obs.start_streaming(),
        stop_callback=lambda: obs.stop_streaming()
    )

Chat Bot Integration

from twitchio.ext import commands

class StreamBot(commands.Bot):
    def __init__(self, token: str, prefix: str, channels: list):
        super().__init__(token=token, prefix=prefix, initial_channels=channels)
        self.obs = OBSController()
        self.obs.connect()

    async def event_ready(self):
        print(f'Bot is ready | {self.nick}')

    async def event_message(self, message):
        if message.echo:
            return
        await self.handle_commands(message)

    @commands.command(name='scene')
    async def scene_command(self, ctx, scene_name: str):
        """Switch OBS scene via chat command."""
        if ctx.author.is_mod:
            try:
                self.obs.switch_scene(scene_name)
                await ctx.send(f"Switched to scene: {scene_name}")
            except Exception as e:
                await ctx.send(f"Error switching scene: {e}")

    @commands.command(name='brb')
    async def brb_command(self, ctx):
        """Switch to BRB scene."""
        if ctx.author.is_mod:
            self.obs.switch_scene("BRB")
            await ctx.send("Be right back!")

    @commands.command(name='back')
    async def back_command(self, ctx):
        """Switch back to main scene."""
        if ctx.author.is_mod:
            self.obs.switch_scene("Main")
            await ctx.send("We're back!")

Stream Quality Presets

from dataclasses import dataclass
from enum import Enum

class StreamQuality(Enum):
    LOW = "480p"
    MEDIUM = "720p"
    HIGH = "1080p"
    ULTRA = "1440p"

@dataclass
class EncodingPreset:
    resolution: str
    video_bitrate: str
    audio_bitrate: str
    framerate: int
    preset: str

QUALITY_PRESETS = {
    StreamQuality.LOW: EncodingPreset(
        resolution="854x480",
        video_bitrate="1500k",
        audio_bitrate="96k",
        framerate=30,
        preset="veryfast"
    ),
    StreamQuality.MEDIUM: EncodingPreset(
        resolution="1280x720",
        video_bitrate="3000k",
        audio_bitrate="128k",
        framerate=30,
        preset="veryfast"
    ),
    StreamQuality.HIGH: EncodingPreset(
        resolution="1920x1080",
        video_bitrate="4500k",
        audio_bitrate="160k",
        framerate=60,
        preset="veryfast"
    ),
    StreamQuality.ULTRA: EncodingPreset(
        resolution="2560x1440",
        video_bitrate="9000k",
        audio_bitrate="192k",
        framerate=60,
        preset="fast"
    )
}

Health Monitoring

import asyncio
from dataclasses import dataclass
from datetime import datetime

@dataclass
class StreamHealth:
    bitrate: float
    dropped_frames: int
    fps: float
    cpu_usage: float
    timestamp: datetime

class StreamMonitor:
    def __init__(self, obs: OBSController):
        self.obs = obs
        self.health_history: list[StreamHealth] = []

    async def monitor(self, interval: float = 5.0):
        """Continuously monitor stream health."""
        while True:
            try:
                stats = self.obs.ws.call(obs_requests.GetStats())
                health = StreamHealth(
                    bitrate=stats.getKbitsPerSec(),
                    dropped_frames=stats.getOutputSkippedFrames(),
                    fps=stats.getActiveFps(),
                    cpu_usage=stats.getCpuUsage(),
                    timestamp=datetime.now()
                )
                self.health_history.append(health)

                # Alert on issues
                if health.dropped_frames > 100:
                    print(f"Warning: High dropped frames: {health.dropped_frames}")
                if health.fps < 25:
                    print(f"Warning: Low FPS: {health.fps}")

            except Exception as e:
                print(f"Monitor error: {e}")

            await asyncio.sleep(interval)

References

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

27.22%
按下载量换算41

Gemini CLI

21.73%
按下载量换算33

Antigravity

18.72%
按下载量换算28

windsurf

14.9%
按下载量换算22

trae

8.5%
按下载量换算13

Codex

4.08%
按下载量换算6

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

未通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/mindmorass/reflex --skill streaming-patterns;npx skills add mindmorass/reflex --skill "streaming-patterns" 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。

来源信息

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