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streaming-buddy流媒体好友

Agent Skill

streaming-buddy 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 OpenClaw 中希望让 Agent 持续沉淀问题、修正和最佳实践时使用。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

74,635

周安装

3,079

GitHub Stars

1

下载量

24,386
OpenClaw

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

2

许可证

MIT-0

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-buddy(流媒体好友)
来源仓库:https://github.com/udiedrichsen/streaming-buddy
安装命令:
openclaw skills install streaming-buddy
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。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install streaming-buddy

简介

具有学习偏好的个人流媒体助理。跟踪您正在观看的内容,了解您的品味,并根据您的服务、心情和偏好建议接下来观看的内容。当被问及电影、电视节目、流媒体服务、观看内容或跟踪观看进度时使用。触发因素:/stream、“我应该看什么”、“推荐一些东西”、提及 Netflix/Prime/Disney+/Apple TV+、询问剧集/季节/剧集、基于情绪的请求(例如“令人兴奋的东西”)。

SKILL.md

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

CommandAction
/streamShow status with all commands
/stream search <title>Search for movies/TV shows
`/stream info <id> [tv\movie]`Detailed info + availability
`/stream watch <id> [tv\movie]`Start tracking a title
/stream progress S01E05Update progress on current show
/stream done [1-5]Mark as finished + rate (auto-learns)
/stream like [id]Mark as liked → learns preferences
/stream dislike [id]Mark as disliked → learns preferences
`/stream suggest [service] [tv\movie]`Personalized recommendations
/stream mood <mood>Search by mood
/stream surpriseRandom recommendation
/stream why <id>Explain why this matches you
/stream watchlistShow watchlist
/stream watchlist add <id>Add to watchlist
/stream historyView watch history
/stream profileShow your taste profile
/stream servicesManage streaming services
/stream services add <name>Add a service
/stream services remove <name>Remove a service

Mood Options

MoodGenres
excitingAction, Thriller, Sci-Fi, Adventure
relaxingComedy, Animation, Family, Documentary
thoughtfulDrama, Mystery, History
scaryHorror, Thriller
romanticRomance, Drama
funnyComedy, Animation

Supported Services

  • netflix, amazon-prime, disney-plus, apple-tv-plus
  • youtube-premium, wow, paramount-plus, crunchyroll
  • joyn, rtl, magenta, mubi

Learning System

The skill learns your preferences from:

  1. Ratings: When you finish with /stream done [1-5]:

- Rating 4-5: Adds genres/themes/actors to "liked" - Rating 1-2: Adds genres to "avoided"

  1. Explicit Feedback: /stream like and /stream dislike:

- Extracts genres, themes, actors, directors - Updates preference weights

  1. Preference Profile includes:

- Genre preferences (weighted scores) - Liked/disliked themes - Favorite actors & directors - Custom mood mappings

Handler Usage

# 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

Data Files

All data stored in $WORKSPACE/memory/streaming-buddy/:

FilePurpose
config.jsonTMDB API key, region, language
profile.jsonUser profile metadata
services.jsonActive streaming services
preferences.jsonLearned taste preferences
watching.jsonCurrently watching
watchlist.jsonWant to watch list
history.jsonWatched + ratings
cache/*.jsonAPI response cache (24h)

Setup

  1. Get TMDB API key: https://www.themoviedb.org/settings/api
  2. Store in memory/streaming-buddy/config.json:
   {
     "tmdbApiKey": "your_api_key",
     "region": "DE",
     "language": "de-DE"
   }
  1. Run /stream setup to configure services

Conversation Examples

Mood-based search:

User: I want something exciting tonight
Bot: 🎬 Exciting picks for you:
     1. Reacher S3 (Prime) ⭐8.5
     2. Jack Ryan (Prime) ⭐8.1
     ...

Learning from feedback:

User: /stream done 5
Bot: ✅ Severance marked as done (⭐5)
     📚 Learned: +Drama, +Mystery, +Sci-Fi
     Actors: Adam Scott, Britt Lower saved to favorites

Explaining recommendations:

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

Language Support

  • Language detected from config.json (language: "de-DE" or "en")
  • All output adapts to configured language
  • Commands work in any language

Requirements

  • jq (JSON processor)
  • curl (HTTP client)
  • bash 4.0+
  • TMDB API key (free)

References

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

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

OpenClaw

71.36%
按下载量换算17,402

安全审计

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通过

ClawScan

可疑

Static analysis

未展示

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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