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影音伙伴：AI 电影与电视助手 - Openclaw Skills

作者：互联网

2026-04-10

AI教程

什么是 影音伙伴？

影音伙伴是一款先进的媒体管理工具，旨在通过个性化的内容发现来增强您的数字生活。通过与 TMDB 集成并从您的点攒、不喜欢和评分等显性反馈中学习，它构建了一个全面的口味概况，以消除决策疲劳。它作为您媒体消费的中心枢纽，确保您永远不会忘记剧集的观看进度。

该工具是 Openclaw Skills 力量的典范，将简单的 AI 代理转变为主动的娱乐管家。它了解背景、心情以及 Netflix、Disney+ 和 Apple TV+ 等服务的平台可用性，为任何影迷或休闲观众提供无缝体验。

下载入口:https://github.com/openclaw/skills/tree/main/skills/udiedrichsen/streaming-buddy

安装与下载

1. ClawHub CLI

从源直接安装技能的最快方式。

npx clawhub@latest install streaming-buddy

2. 手动安装

将技能文件夹复制到以下位置之一

全局模式 ~/.openclaw/skills/ 工作区 /skills/

优先级：工作区 > 本地 > 内置

3. 提示词安装

将此提示词复制到 OpenClaw 即可自动安装。

请帮我使用 Clawhub 安装 streaming-buddy。如果尚未安装 Clawhub，请先安装（npm i -g clawhub）。

影音伙伴 应用场景

  • 根据特定的心情（如兴奋、放松或深思）寻找接下来要看的内容。
  • 同时追踪多个电视节目的剧集级进度，永远不会忘记进度。
  • 接收根据您的活跃流媒体订阅筛选的个性化推荐，以避免付费限制。
  • 在一个地方建立跨所有主要流媒体平台的统一观看列表。
  • 通过突出显示喜爱的演员或类型的详细匹配说明来理解建议背后的逻辑。
影音伙伴 工作原理
  1. 通过从本地工作区读取您配置的流媒体服务和地理区域设置来进行初始化。
  2. 从 TMDB 获取搜索查询、演职人员详情和深层标题信息的实时元数据。
  3. 监测互动（如将标题标记为已看或进行评分）会触发学习引擎。
  4. 使用特定类型、演员和重复主题的加权分数更新本地偏好配置文件。
  5. 将您的独特口味概况与您特定平台上当前可用的内容进行交叉引用，以生成智能建议。

影音伙伴 配置指南

要开始使用此技能，您需要一个 TMDB API 密钥以及在环境中进行一些配置步骤：

  1. 从官方设置页面获取免费的 TMDB API 密钥。
  2. 在工作区中创建目录和配置文件：
mkdir -p $WORKSPACE/memory/streaming-buddy/
cat < $WORKSPACE/memory/streaming-buddy/config.json
{
  "tmdbApiKey": "your_api_key",
  "region": "CN",
  "language": "zh-CN"
}
EOF
  1. 使用命令行初始化您的流媒体服务：
/stream services add netflix
/stream services add amazon-prime

影音伙伴 数据架构与分类体系

该技能使用位于工作区内存目录中的 JSON 结构维护持久状态：

文件 描述
profile.json 核心用户元数据和高级配置文件设置。
preferences.json 类型、喜爱主题和喜爱演员的加权分数。
watching.json 当前追踪的标题及其季度和剧集进度。
history.json 所有已完成标题的记录，包括用户提供的评分和日期。
services.json 用于可用性过滤的活跃流媒体平台列表。
cache/*.json API 响应的临时存储，以提高性能并减少延迟。
name: streaming-buddy
version: 2.0.0
description: "Personal streaming assistant with learning preferences. Tracks what you're watching, learns your taste, and suggests what to watch next based on your services, mood, and preferences. Use when asked about movies, TV shows, streaming services, what to watch, or tracking viewing progress. Triggers: /stream, 'what should I watch', 'recommend something', mentioning Netflix/Prime/Disney+/Apple TV+, asking about series/seasons/episodes, mood-based requests like 'something exciting'."
author: clawdbot
license: MIT
metadata:
  clawdbot:
    emoji: "??"
    triggers: ["/stream"]
    requires:
      bins: ["jq", "curl"]
      env: ["TMDB_API_KEY"]
  tags: ["streaming", "movies", "tv-shows", "recommendations", "entertainment", "learning", "preferences"]

Streaming Buddy ??

Personal streaming assistant that learns your taste, tracks your watching habits, and suggests what to watch next.

Features

  • Search & Info: Find movies/TV shows with TMDB data
  • Watch Tracking: Track what you're currently watching with progress
  • Learning System: Learns your preferences from likes/dislikes/ratings
  • Smart Recommendations: Personalized suggestions based on your taste
  • Mood-Based Search: Find content by mood (exciting, relaxing, scary, etc.)
  • Availability Check: Shows which of your services has the content
  • Match Explanation: Explains why a title matches your preferences

Commands

Command Action
/stream Show status with all commands
/stream search </CODE></TD> <TD>Search for movies/TV shows</TD></TR> <TR> <TD><CODE>/stream info <id> [tv|movie]</CODE></TD> <TD>Detailed info + availability</TD></TR> <TR> <TD><CODE>/stream watch <id> [tv|movie]</CODE></TD> <TD>Start tracking a title</TD></TR> <TR> <TD><CODE>/stream progress S01E05</CODE></TD> <TD>Update progress on current show</TD></TR> <TR> <TD><CODE>/stream done [1-5]</CODE></TD> <TD>Mark as finished + rate (auto-learns)</TD></TR> <TR> <TD><CODE>/stream like [id]</CODE></TD> <TD>Mark as liked → learns preferences</TD></TR> <TR> <TD><CODE>/stream dislike [id]</CODE></TD> <TD>Mark as disliked → learns preferences</TD></TR> <TR> <TD><CODE>/stream suggest [service] [tv|movie]</CODE></TD> <TD>Personalized recommendations</TD></TR> <TR> <TD><CODE>/stream mood <mood></CODE></TD> <TD>Search by mood</TD></TR> <TR> <TD><CODE>/stream surprise</CODE></TD> <TD>Random recommendation</TD></TR> <TR> <TD><CODE>/stream why <id></CODE></TD> <TD>Explain why this matches you</TD></TR> <TR> <TD><CODE>/stream watchlist</CODE></TD> <TD>Show watchlist</TD></TR> <TR> <TD><CODE>/stream watchlist add <id></CODE></TD> <TD>Add to watchlist</TD></TR> <TR> <TD><CODE>/stream history</CODE></TD> <TD>View watch history</TD></TR> <TR> <TD><CODE>/stream profile</CODE></TD> <TD>Show your taste profile</TD></TR> <TR> <TD><CODE>/stream services</CODE></TD> <TD>Manage streaming services</TD></TR> <TR> <TD><CODE>/stream services add <name></CODE></TD> <TD>Add a service</TD></TR> <TR> <TD><CODE>/stream services remove <name></CODE></TD> <TD>Remove a service</TD></TR></TBODY></TABLE></DIV> <H2 id=mood-options>Mood Options</H2> <DIV class=table-scroll-wrapper> <TABLE> <THEAD> <TR> <TH>Mood</TH> <TH>Genres</TH></TR></THEAD> <TBODY> <TR> <TD><CODE>exciting</CODE></TD> <TD>Action, Thriller, Sci-Fi, Adventure</TD></TR> <TR> <TD><CODE>relaxing</CODE></TD> <TD>Comedy, Animation, Family, Documentary</TD></TR> <TR> <TD><CODE>thoughtful</CODE></TD> <TD>Drama, Mystery, History</TD></TR> <TR> <TD><CODE>scary</CODE></TD> <TD>Horror, Thriller</TD></TR> <TR> <TD><CODE>romantic</CODE></TD> <TD>Romance, Drama</TD></TR> <TR> <TD><CODE>funny</CODE></TD> <TD>Comedy, Animation</TD></TR></TBODY></TABLE></DIV> <H2 id=supported-services>Supported Services</H2> <UL> <LI><CODE>netflix</CODE>, <CODE>amazon-prime</CODE>, <CODE>disney-plus</CODE>, <CODE>apple-tv-plus</CODE></LI> <LI><CODE>you@tube-premium</CODE>, <CODE>wow</CODE>, <CODE>paramount-plus</CODE>, <CODE>crunchyroll</CODE></LI> <LI><CODE>joyn</CODE>, <CODE>rtl</CODE>, <CODE>magenta</CODE>, <CODE>mubi</CODE></LI></UL> <H2 id=learning-system>Learning System</H2> <P>The skill learns your preferences from:</P> <OL> <LI> <P><STRONG>Ratings</STRONG>: When you finish with <CODE>/stream done [1-5]</CODE>:</P> <UL> <LI>Rating 4-5: Adds genres/themes/actors to "liked"</LI> <LI>Rating 1-2: Adds genres to "avoided"</LI></UL></LI> <LI> <P><STRONG>Explicit Feedback</STRONG>: <CODE>/stream like</CODE> and <CODE>/stream dislike</CODE>:</P> <UL> <LI>Extracts genres, themes, actors, directors</LI> <LI>Updates preference weights</LI></UL></LI> <LI> <P><STRONG>Preference Profile</STRONG> includes:</P> <UL> <LI>Genre preferences (weighted scores)</LI> <LI>Liked/disliked themes</LI> <LI>Favorite actors & directors</LI> <LI>Custom mood mappings</LI></UL></LI></OL> <H2 id=handler-usage>Handler Usage</H2><PRE><CODE class=language-bash># Core commands handler.sh status $WORKSPACE handler.sh search "severance" $WORKSPACE handler.sh info 95396 tv $WORKSPACE handler.sh watch 95396 tv $WORKSPACE handler.sh progress S01E05 $WORKSPACE handler.sh done 5 "Great show!" $WORKSPACE # Learning commands handler.sh like $WORKSPACE # Like current watching handler.sh like 12345 movie $WORKSPACE # Like specific title handler.sh dislike $WORKSPACE handler.sh why 95396 tv $WORKSPACE handler.sh profile $WORKSPACE # Recommendation commands handler.sh suggest $WORKSPACE # All services, all types handler.sh suggest prime movie $WORKSPACE # Prime movies only handler.sh mood exciting $WORKSPACE handler.sh mood relaxing tv $WORKSPACE handler.sh surprise $WORKSPACE # List commands handler.sh watchlist list $WORKSPACE handler.sh watchlist add 12345 tv $WORKSPACE handler.sh history $WORKSPACE # Service management handler.sh services list $WORKSPACE handler.sh services add netflix $WORKSPACE handler.sh services remove netflix $WORKSPACE </CODE></PRE> <H2 id=data-files>Data Files</H2> <P>All data stored in <CODE>$WORKSPACE/memory/streaming-buddy/</CODE>:</P> <DIV class=table-scroll-wrapper> <TABLE> <THEAD> <TR> <TH>File</TH> <TH>Purpose</TH></TR></THEAD> <TBODY> <TR> <TD><CODE>config.json</CODE></TD> <TD>TMDB API key, region, language</TD></TR> <TR> <TD><CODE>profile.json</CODE></TD> <TD>User profile metadata</TD></TR> <TR> <TD><CODE>services.json</CODE></TD> <TD>Active streaming services</TD></TR> <TR> <TD><CODE>preferences.json</CODE></TD> <TD>Learned taste preferences</TD></TR> <TR> <TD><CODE>watching.json</CODE></TD> <TD>Currently watching</TD></TR> <TR> <TD><CODE>watchlist.json</CODE></TD> <TD>Want to watch list</TD></TR> <TR> <TD><CODE>history.json</CODE></TD> <TD>Watched + ratings</TD></TR> <TR> <TD><CODE>cache/*.json</CODE></TD> <TD>API response cache (24h)</TD></TR></TBODY></TABLE></DIV> <H2 id=setup>Setup</H2> <OL> <LI>Get TMDB API key: https://www.themoviedb.org/settings/api</LI> <LI>Store in <CODE>memory/streaming-buddy/config.json</CODE>:<PRE><CODE class=language-json>{ "tmdbApiKey": "your_api_key", "region": "DE", "language": "de-DE" } </CODE></PRE></LI> <LI>Run <CODE>/stream setup</CODE> to configure services</LI></OL> <H2 id=conversation-examples>Conversation Examples</H2> <P><STRONG>Mood-based search:</STRONG></P><PRE><CODE>User: I want something exciting tonight Bot: ?? Exciting picks for you: 1. Reacher S3 (Prime) ?8.5 2. Jack Ryan (Prime) ?8.1 ... </CODE></PRE> <P><STRONG>Learning from feedback:</STRONG></P><PRE><CODE>User: /stream done 5 Bot: ? Severance marked as done (?5) ?? Learned: +Drama, +Mystery, +Sci-Fi Actors: Adam Scott, Britt Lower saved to favorites </CODE></PRE> <P><STRONG>Explaining recommendations:</STRONG></P><PRE><CODE>User: /stream why 95396 Bot: ?? Why Severance matches you: ? Genre "Drama" (you like this, +2) ? Genre "Mystery" (you like this, +2) ? Theme "office" in your preferences ? With Adam Scott (your favorite) Similar to: Fallout ?5 </CODE></PRE> <H2 id=language-support>Language Support</H2> <UL> <LI>Language detected from <CODE>config.json</CODE> (<CODE>language: "de-DE"</CODE> or <CODE>"en"</CODE>)</LI> <LI>All output adapts to configured language</LI> <LI>Commands work in any language</LI></UL> <H2 id=requirements>Requirements</H2> <UL> <LI><CODE>jq</CODE> (JSON processor)</LI> <LI><CODE>curl</CODE> (HTTP client)</LI> <LI><CODE>bash</CODE> 4.0+</LI> <LI>TMDB API key (free)</LI></UL> <H2 id=references>References</H2> <UL> <LI>services.md — Full list of streaming services</LI> <LI>tmdb-api.md — TMDB API usage</LI> <LI>justwatch.md — Availability data integration</LI></UL> </div> <div class="lastanext flexRow"> <a class="lastart flexRow" href="/wz/330127.html" ><span>上一篇：</span><span>Amadeus 酒店：搜索、比较并追踪酒店价格 - Openclaw Skills</span></a> <a class="nextart flexRow" href="/wz/330129.html" ><span>下一篇：</span><span>ClawGuard: 针对 Openclaw Skills 的 LLM-as-a-Judge 安全卫士</span></a> </div> </div> <div class="dtl-xgtj"> <div class="jb-titles flexRow"> <div class="jbtle-left flexRow"><b></b><p>相关推荐</p></div> </div> <div class="tjlist flexRow"> <div class="tj-item "> <div class="tjitemd"> <div class="tjimd-top flexRow"> <a class="imdta flexRow" href="/wz/362044.html" > <img src="/jiaoben/image/noimg.png" > </a> <div class="imdt-right flexColumn"> <a class="imdtra flexRow overflowclass" href="/wz/362044.html" >RunPod CLI：管理 GPU 容器与 Serverless - 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