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Official Verified media Safety 5/5

streaming-buddy

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'.

Why use this skill?

Discover your next favorite show with Streaming Buddy. Track episodes, manage watchlists, and get AI-driven recommendations tailored to your unique taste.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/udiedrichsen/streaming-buddy
Or

What This Skill Does

The Streaming Buddy is an intelligent, learning-capable assistant integrated directly into the OpenClaw AI agent ecosystem. It serves as your personal concierge for all things digital entertainment. Unlike static search tools, this skill maintains a persistent user profile, analyzing your viewing history, ratings, and explicit feedback to construct a bespoke taste profile. By aggregating data from major streaming services like Netflix, Amazon Prime, and Disney+, it bridges the gap between 'what is available' and 'what you will actually enjoy.' Beyond basic search functionality, it handles complex tracking tasks, such as monitoring your progress in series, managing your watchlist, and providing data-backed explanations for why a specific title was recommended to you based on your personal preference weights for genres, directors, and actors.

Installation

To integrate this skill into your environment, use the OpenClaw command line interface. Execute the following command in your terminal:

clawhub install openclaw/skills/skills/udiedrichsen/streaming-buddy

Ensure that your OpenClaw instance is updated to the latest version to ensure full compatibility with the metadata tracking features.

Use Cases

  • Curated Binge-Watching: Stay on top of multiple series by tracking episode progress across different platforms.
  • Decision Fatigue Mitigation: If you find yourself scrolling endlessly through streaming menus, use the mood-based recommendation engine to find content instantly.
  • Preference Evolution: Use the learning system to explicitly rate titles, allowing the AI to refine its understanding of your evolving cinematic tastes over time.
  • Availability Management: Quickly check which of your subscribed services currently hosts a title you want to watch.

Example Prompts

  1. "I'm in the mood for something exciting tonight, what can I watch on Netflix or Prime?"
  2. "I just finished S02E04 of my show, can you mark that as watched and tell me when the next one drops?"
  3. "Why are you recommending this sci-fi movie to me?"

Tips & Limitations

  • Maximizing Accuracy: The more you use the /stream like and /stream done commands, the more accurate the suggestions become. It is highly recommended to rate your titles immediately after watching.
  • Service Sync: Ensure you have added all your active subscriptions via /stream services add to provide the skill with a complete view of your available content pool.
  • Limitations: The skill currently relies on the user to manually update progress (e.g., /stream progress S01E05), as it does not automatically scrape data from your streaming account dashboards due to privacy restrictions. Please ensure you manually log your status to maintain accurate tracking.

Metadata

Stars946
Views1
Updated2026-02-13
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-udiedrichsen-streaming-buddy": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#media#streaming#entertainment#recommender#assistant
Safety Score: 5/5

Flags: external-api, data-collection

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