Overview
- Skill Key
- fr3nch13/openclaw-trakt
- Author
- fr3nch13
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/fr3nch13/openclaw-trakt
- Latest Commit SHA
- b6487a11687c66fe31c15165ddf2acc816880e9c
Track and recommend TV shows and movies using Trakt.tv. Use when the user asks for show/movie recommendations, wants to track what they're watching, check their watchlist, or get personalized suggestions based on their viewing history. Requires Trakt.tv account with Pro subscription for full functionality.
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直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 openclaw-trakt 技能。 若已安装,则直接安装 openclaw-trakt 技能。
# Trakt.tv Integration for OpenClaw Integrate with Trakt.tv to track watch history and provide personalized show/movie recommendations. **📚 Trakt API Documentation:** <https://trakt.docs.apiary.io/> ## First-Time Setup Required **Before using this skill, run the interactive setup:** ### Automated Setup (Recommended) ```bash python3 scripts/setup.py ``` This will guide you through: 1. Installing dependencies 2. Creating a Trakt application 3. Configuring credentials 4. Authenticating with PIN 5. Testing the integration ### Manual Setup If automated setup doesn't work, follow the manual steps in the Setup section below. ### Interactive Setup for OpenClaw When a user asks to "install Trakt" or "set up Trakt integration," OpenClaw should: 1. Read `INSTALL.md` for detailed interactive flow 2. Or run `python3 scripts/setup.py` and guide user through prompts --- ## Features - Track watch history (automatically synced by Trakt from streaming services) - Get personalized recommendations based on viewing habits - Access user watchlists and collections - Search for shows and movies - View trending content ## Prerequisites 1. **Python dependencies:** ```bash # Install via pip (with --break-system-packages if needed) pip3 install requests # OR use a virtual environment (recommended) python3 -m venv ~/.openclaw-venv source ~/.openclaw-venv/bin/activate pip install requests ``` Alternatively, install via Homebrew if available: ```bash brew install python-requests ``` 2. **Trakt.tv account** with Pro subscription (required for automatic watch tracking) 3. **Trakt API application** - Create at <https://trakt.tv/oauth/applications> 4. **Configuration file:** `~/.openclaw/trakt_config.json` (see setup below) ## Setup ### 1. Create Trakt Application 1. Visit <https://trakt.tv/oauth/applications> 2. Click "New Application" 3. Fill in the form: - Name: "OpenClaw Assistant" - Description: "Personal AI assistant integrat...
# openclaw-trakt
🎬 Trakt.tv integration skill for OpenClaw - Track and recommend TV shows and movies
## Overview
This OpenClaw skill integrates with [Trakt.tv](https://trakt.tv) to provide:
- 📺 **Personalized recommendations** based on your watch history
- 📊 **Watch history tracking** (synced automatically with Trakt Pro)
- 📝 **Watchlist management**
- 🔍 **Search** for shows and movies
- 📈 **Trending content** discovery
## Features
- ✅ Simple PIN-based authentication
- ✅ Native Trakt recommendation API
- ✅ Access to watch history, watchlist, and trending content
- ✅ Full search functionality
- ✅ Automatic token storage and refresh
- ✅ CLI interface for testing
## Installation
### Automated Setup (Easiest!)
Run the interactive setup wizard:
```bash
cd ~/.openclaw/skills/openclaw-trakt
python3 scripts/setup.py
```
This will guide you through the entire setup process automatically:
- Install dependencies
- Help you create a Trakt application
- Configure credentials
- Authenticate with PIN
- Test the integration
### Manual Setup
If you prefer to configure manually, follow these steps:
### 1. Install Dependencies
```bash
pip3 install requests --break-system-packages
# OR use a virtual environment (recommended)
python3 -m venv ~/.openclaw-venv
source ~/.openclaw-venv/bin/activate
pip install requests
```
### 2. Create Trakt Application
1. Go to <https://trakt.tv/oauth/applications>
2. Click "New Application"
3. Fill in:
- **Name:** OpenClaw Assistant
- **Redirect URI:** `urn:ietf:wg:oauth:2.0:oob`
4. Save and copy your **Client ID** and **Client Secret**
### 3. Create Configuration File
Create `~/.openclaw/trakt_config.json`:
```json
{
"client_id": "YOUR_CLIENT_ID_HERE",
"client_secret": "YOUR_CLIENT_SECRET_HERE",
"access_token": "",
"refresh_token": ""
}
```
Replace the placeholder values with your actual Client ID and Secret. Leave `access_token` and `refresh_token` empty.
### 4. Authenticate
```bash
# Get PIN URL
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