Interact with the Trakt API to manage your watchlist, collection, ratings, and discover content
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install trakt-tvOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install trakt-tvβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/trakt-tv/π‘Extract and place the folder at the path above, then restart your agent.
Category
π»Developer & DevOpsPlatforms
What Trakt.tv can do for your AI workflow
With the trakt api to manage directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,566+ developers worldwide
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Trakt.tv
Help me get started with Trakt.tv
Explains what Trakt.tv does, walks through the setup, and runs a quick demo based on your current project
Use Trakt.tv to interact with the Trakt API to manage your watchlist, collection, r...
Invokes Trakt.tv with the right parameters and returns the result directly in the conversation
What can I do with Trakt.tv in my developer & devops workflow?
Lists the top use cases for Trakt.tv, with example commands for each scenario
Guides & tutorials for AI skills
Trakt.tv extends your AI assistant with the ability to interact with the Trakt API to manage your watchlist, collection, ratings, and discover content. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Trakt.tv as its underlying capability.
Trakt.tv works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Trakt.tv once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Trakt.tv installs like any other MCP skill: drop the folder into `~/.claude/skills/trakt-tv/` for global access, or `.claude/skills/trakt-tv/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/trakt-tv`, or let the AI decide when it's the right tool for your request.
Trakt.tv has been installed 1,566 times, making it one of the more actively used skills in the Developer & DevOps category. The install rate suggests it solves a real, recurring need rather than a niche edge case. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/trakt-tv/ for personal use (all projects), or .claude/skills/trakt-tv/ for project-specific use. Restart your AI client, then invoke with /trakt-tv or let the AI discover it automatically.
Trakt.tv supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Trakt.tv is free to install. Check the repository for licensing information.
Interact with the Trakt API to manage your watchlist, collection, ratings, and discover content
Automate my developer & devops tasks using Trakt.tv
Identifies repetitive steps in your workflow and sets up Trakt.tv to handle them automatically
MCP vs traditional plugins: what's the difference?
Trakt.tv is categorized under Developer & DevOps. These skills help AI agents perform specialized tasks in this domain.