Radarr

Community

jmagar

radarr

This skill should be used when managing movies in Radarr. Use when the user asks to "add a movie", "search Radarr", "find a film", "add to Radarr", "remove a movie", "add movie collection", "check if movie exists", "Radarr library", or mentions movie management, TMDB integration, or Radarr operations.

Overview

Publisher	jmagar
Repository	`claude-homelab`
Skill name	`radarr`
Stars	87
Forks	11
Bundled files	5
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
5 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by jmagar on GitHub. Read the source before you install it.

Installation

Install the Radarr AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/jmagar/claude-homelab/tree/main/skills/radarr
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/jmagar/claude-homelab.git /tmp/claude-homelab
mkdir -p .claude/skills
cp -r /tmp/claude-homelab/skills/radarr .claude/skills/radarr

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Radarr in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Radarr on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Radarr is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Radarr Movie Management Skill

⚠️ MANDATORY SKILL INVOCATION ⚠️

YOU MUST invoke this skill (NOT optional) when the user mentions ANY of these triggers:

"add a movie", "search Radarr", "find a film", "add to Radarr"
"remove a movie", "delete movie", "check if movie exists"
"add movie collection", "Radarr library", "movie management"
Any mention of Radarr or managing movies

Failure to invoke this skill when triggers occur violates your operational requirements.

Search and add movies to your Radarr library with support for collections, quality profiles, and search-on-add.

Purpose

This skill enables management of your Radarr movie library:

Search for movies by name
Add individual movies or entire collections
Check if movies already exist
Remove movies (with optional file deletion)
View quality profiles and root folders

Operations include both read and write actions. Always confirm before removing movies with file deletion.

Setup

Add credentials to ~/.claude-homelab/.env:

bash
RADARR_URL="http://localhost:7878"
RADARR_API_KEY="your-api-key"
RADARR_DEFAULT_QUALITY_PROFILE="1"  # Optional (defaults to 1)

RADARR_URL: Your Radarr server URL (no trailing slash)
RADARR_API_KEY: API key from Radarr (Settings → General → API Key)
RADARR_DEFAULT_QUALITY_PROFILE: Quality profile ID (optional, run config command to see options)

Commands

All commands return JSON output.

Search for Movies

bash
bash scripts/radarr.sh search "Inception"
bash scripts/radarr.sh search "The Matrix"

Output: Numbered list with TMDB IDs, titles, years, and overview.

Check if Movie Exists

bash
bash scripts/radarr.sh exists <tmdbId>

Output: Boolean indicating if movie is in library.

Add a Movie

bash
bash scripts/radarr.sh add <tmdbId>              # Searches immediately (default)
bash scripts/radarr.sh add <tmdbId> --no-search  # Add without searching

Add Full Collection

bash
bash scripts/radarr.sh add-collection <collectionTmdbId>
bash scripts/radarr.sh add-collection <collectionTmdbId> --no-search

Adds all movies in a collection (e.g., all Lord of the Rings movies).

Remove a Movie

bash
bash scripts/radarr.sh remove <tmdbId>                # Keep files
bash scripts/radarr.sh remove <tmdbId> --delete-files # Delete files too

Important: Always ask the user if they want to delete files when removing!

Get Configuration

bash
bash scripts/radarr.sh config

Output: Available root folders and quality profiles with their IDs.

Workflow

When the user asks about movies:

"Add Inception to Radarr" → Run search "Inception", present results with TMDB links, then add <tmdbId>
"Is Dune in my library?" → Run exists <tmdbId>
"Add all Star Wars movies" → Search for collection, then add-collection <collectionId>
"Remove The Matrix" → Ask about file deletion, then run remove <tmdbId> with appropriate flag
"What quality profiles do I have?" → Run config

Presenting Search Results

Always include TMDB links when presenting search results:

Format: [Title (Year)](https://themoviedb.org/movie/ID)
Show numbered list for user selection
Include year and brief overview

Adding Movies

Search for the movie
Present results with TMDB links
User picks a number
Collection check: If movie is part of a collection, ask if they want the whole collection
Add movie or collection (searches immediately by default)

Parameters

add command

<tmdbId>: TMDB ID of the movie (required)
--no-search: Don't search for movie after adding

add-collection command

<collectionTmdbId>: TMDB ID of the collection (required)
--no-search: Don't search for movies after adding

remove command

<tmdbId>: TMDB ID of the movie (required)
--delete-files: Also delete media files (default: keep files)

Notes

Requires network access to your Radarr server
Uses Radarr API v3
All data operations return JSON
Quality profile IDs vary by installation — use config to discover yours
The defaultQualityProfile from config is used when adding movies
Collections are TMDB-specific and include related movies (sequels, franchises)

Reference

Radarr API Documentation
TMDB — The Movie Database

For detailed local reference, see:

API Endpoints - Complete endpoint reference with parameters
Quick Reference - Common operations with copy-paste examples
Troubleshooting - Authentication, connection, and error solutions

🔧 Agent Tool Usage Requirements

CRITICAL: When invoking scripts from this skill via the zsh-tool, ALWAYS use pty: true.

Without PTY mode, command output will not be visible even though commands execute successfully.

Correct invocation pattern:

typescript
<invoke name="mcp__plugin_zsh-tool_zsh-tool__zsh">
<parameter name="command">./skills/SKILL_NAME/scripts/SCRIPT.sh [args]</parameter>
<parameter name="pty">true</parameter>
</invoke>

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Radarr AI skill do?

Why use Radarr on TypingMind?

Because you install it once and use it with any model. Radarr is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Radarr in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jmagar/claude-homelab/tree/main/skills/radarr. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Radarr?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Radarr?

As many as you like. As long as a model supports skills, you can use Radarr with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Radarr AI skill free?

Yes. It is published on GitHub by jmagar under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Radarr Movie Management Skill

Purpose

Setup

Commands

Search for Movies

Check if Movie Exists

Add a Movie

Add Full Collection

Remove a Movie

Get Configuration

Workflow

Presenting Search Results

Adding Movies

Parameters

add command

add-collection command

remove command

Notes

Reference

🔧 Agent Tool Usage Requirements

Bundled files

Frequently asked questions

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