trakt

Query Trakt.tv API endpoints for trending, popular, and anticipated movies and TV shows.

40|6|Updated Jul 11, 2026
One-click install
npx skills add https://github.com/magnus919/agent-skills --skill trakt
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: trakt
Source: https://github.com/magnus919/agent-skills/tree/main/trakt
Command: npx skills add https://github.com/magnus919/agent-skills --skill trakt

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, and includes scripts (resource) components.

What problem does it solve?

This skill removes the need to open a web browser to find trending, popular, or anticipated movies and TV shows, allowing for rapid media discovery directly from your terminal.

Core Features & Use Cases

  • Real-time Discovery: Access live trending and anticipated lists for both movies and TV shows.
  • Machine-Readable Output: Generate JSON-formatted results containing TMDb and TVDB IDs for integration with other media management tools.
  • Use Case: Quickly check what is currently trending in the movie world or find the most anticipated upcoming TV shows without leaving your command-line environment.

Quick Start

Use the trakt skill to list the top 10 trending movies by running the movie trending command.

Frequently Asked Questions about trakt

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I check trending movies and TV shows from the terminal?

Trakt API queries return JSON responses containing TMDb and TVDB IDs, allowing you to integrate trending and anticipated media discovery data directly into other media management tools or automation scripts.

Do I need a Trakt account authentication to discover anticipated media?

Python 3.8 or higher and the requests library are required to execute Trakt API queries. These dependencies handle the HTTP requests and process the JSON responses for terminal-based media discovery.

What's the best way to get machine-readable media data for automation scripts?

Terminal-based API clients like this provide rapid, browser-free media discovery and machine-readable JSON output, whereas graphical web interfaces offer visual navigation but lack direct command-line integration for automation scripts.

Are there limitations when using the requests library for terminal media discovery?

The primary limitation is that the requests library requires Python 3.8+ and only accesses public Trakt.tv endpoints for trending and popular lists, meaning it cannot retrieve user-specific watchlists or personalized recommendations without authentication.