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openclaw-trakt

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.

fr3nch130 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install fr3nch13/openclaw-trakt

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

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)
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:

    # 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:

    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...

Source information

Source
github
Repository
openclaw/skills
Path
skills/fr3nch13/openclaw-trakt
Version
—
Commit
b6487a11687c66fe31c15165ddf2acc816880e9c
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

README

openclaw-trakt

🎬 Trakt.tv integration skill for OpenClaw - Track and recommend TV shows and movies

Overview

This OpenClaw skill integrates with 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:

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
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:

{
  "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
# Get PIN URL
pytho...

Extracted content

SKILL.md
# 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...
README
# 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
pytho...

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