Automate movie requests, library management, and download tracking using the Radarr HTTP API within your AI agent workflows.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install radarr-plus
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install radarr-plus using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Radarr Movie Management?
The Radarr skill for Openclaw Skills allows developers to bridge the gap between AI chat interfaces and self-hosted media servers. By leveraging the Radarr HTTP API, this skill enables an agent to search for movies, manage quality profiles, and add content to your library with high precision. It is designed to create a seamless request experience where users can interact with their media stack through natural language commands.
Beyond basic API calls, this integration enhances the user experience by generating rich movie cards. By incorporating Openclaw Skills into your home lab, you can automatically fetch high-resolution posters from TMDB, IMDb ratings via OMDB, and even generate direct Plex web links. The built-in tracking system ensures that users stay informed about their download progress without needing to check the Radarr dashboard manually.
Radarr Movie Management Use Cases
- Requesting new movies via chat commands in Telegram or other messaging platforms.
- Automating media library cleanup and organization through AI-driven lookups.
- Setting up a centralized media request bot for family or group chats.
- Monitoring download status and receiving real-time notifications when a movie is imported.
How Radarr Movie Management Works
- The user provides a movie title or TMDB ID to the AI agent.
- The skill executes a lookup script to find the best match and verify it doesn't already exist in the library.
- Environment variables or interactive prompts resolve the preferred quality profile and root folder destination.
- If enabled, metadata providers like TMDB are queried to fetch poster URLs and trailers for a rich visual response.
- The movie is added to the Radarr database with monitoring and automatic search triggers enabled.
- A file-based tracking queue is updated to poll for download progress, sending status updates back to the original chat channel.
Radarr Movie Management Setup
Set the required secrets in your ~/.openclaw/.env file:
RADARR_URL=http://<host>:7878
RADARR_API_KEY=your_api_key_here
Verify your configuration and connectivity using the included scripts:
./skills/radarr/scripts/check_env.py
./skills/radarr/scripts/radarr.sh ping
Radarr Movie Management Data Schema & Taxonomy
The skill manages its operations using a structured file-based system to ensure persistence and reliability:
| Path | Purpose |
|---|---|
~/.openclaw/.env |
Stores sensitive API keys and connection URLs. |
./state/radarr/ |
Contains the tracking queue for active downloads. |
./state/radarr/outbox/ |
Stores generated notifications for the dispatcher to send. |
./outbound/radarr/ |
Temporary storage for downloaded movie posters and visual assets. |
Radarr Movie Management Advanced Features
- Rich Movie Cards: Generates visual summaries including poster art, trailers, and IMDb ratings.
- Automatic Progress Tracking: Polls Radarr for download percentage and status updates.
- Multi-Provider Integration: Supports TMDB, OMDB, and Plex for a comprehensive media ecosystem.
- Intelligent Default Resolution: Uses pre-configured root folders and profiles to minimize user friction during requests.
SKILL.md
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