Qbittorrent

Community

jmagar

qbittorrent

Manage torrents with qBittorrent. Use when the user asks to "list torrents", "add torrent", "pause torrent", "resume torrent", "delete torrent", "check download status", "torrent speed", "qBittorrent stats", or mentions qBittorrent/qbit torrent management.

Overview

Publisher	jmagar
Repository	`claude-homelab`
Skill name	`qbittorrent`
Stars	87
Forks	11
Bundled files	6
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.
6 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 Qbittorrent 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/qbittorrent
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/qbittorrent .claude/skills/qbittorrent

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

Use it in TypingMind

Enable Qbittorrent 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 Qbittorrent 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 Qbittorrent 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.

qBittorrent WebUI API

⚠️ MANDATORY SKILL INVOCATION ⚠️

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

"qBittorrent status", "torrent list", "active torrents"
"pause torrent", "resume torrent", "delete torrent"
"add torrent", "qBit", "download manager"
Any mention of qBittorrent or torrent management

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

Manage torrents via qBittorrent's WebUI API (v4.1+).

Purpose

This skill provides read and write access to your qBittorrent torrent client:

Monitor active, seeding, and completed torrents
Add torrents by magnet link, URL, or file upload
Control torrent state (pause, resume, delete)
Manage categories and tags
Adjust global and per-torrent speed limits
View torrent files, trackers, and properties
Recheck torrent data integrity

Operations include both read and write actions. Always confirm before deleting torrents with file deletion.

Setup

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

bash
QBITTORRENT_URL="http://localhost:8080"
QBITTORRENT_USERNAME="admin"
QBITTORRENT_PASSWORD="adminadmin"

Set file permissions:

bash
chmod 600 ~/.claude-homelab/.env

Quick Reference

List Torrents

bash
# All torrents
./scripts/qbit-api.sh list

# Filter by status
./scripts/qbit-api.sh list --filter downloading
./scripts/qbit-api.sh list --filter seeding
./scripts/qbit-api.sh list --filter paused

# Filter by category
./scripts/qbit-api.sh list --category movies

Filters: all, downloading, seeding, completed, paused, active, inactive, stalled, errored

Get Torrent Info

bash
./scripts/qbit-api.sh info <hash>
./scripts/qbit-api.sh files <hash>
./scripts/qbit-api.sh trackers <hash>

Add Torrent

bash
# By magnet or URL
./scripts/qbit-api.sh add "magnet:?xt=..." --category movies

# By file
./scripts/qbit-api.sh add-file /path/to/file.torrent --paused

Control Torrents

bash
./scripts/qbit-api.sh pause <hash>         # or "all"
./scripts/qbit-api.sh resume <hash>        # or "all"
./scripts/qbit-api.sh delete <hash>        # keep files
./scripts/qbit-api.sh delete <hash> --files  # delete files too
./scripts/qbit-api.sh recheck <hash>

Categories & Tags

bash
./scripts/qbit-api.sh categories
./scripts/qbit-api.sh tags
./scripts/qbit-api.sh set-category <hash> movies
./scripts/qbit-api.sh add-tags <hash> "important,archive"

Transfer Info

bash
./scripts/qbit-api.sh transfer   # global speed/stats
./scripts/qbit-api.sh speedlimit # current limits
./scripts/qbit-api.sh set-speedlimit --down 5M --up 1M

App Info

bash
./scripts/qbit-api.sh version
./scripts/qbit-api.sh preferences

Response Format

Torrent object includes:

hash, name, state, progress
dlspeed, upspeed, eta
size, downloaded, uploaded
category, tags, save_path

States: downloading, stalledDL, uploading, stalledUP, pausedDL, pausedUP, queuedDL, queuedUP, checkingDL, checkingUP, error, missingFiles

Workflow

When the user asks about torrents:

"What's downloading?" → Run list --filter downloading
"Add this magnet link" → Run add "<magnet>" with appropriate category
"Pause all torrents" → Run pause all
"Resume seeding" → Run resume all or filter by hash
"Show torrent details" → Run info <hash> and files <hash>
"List by category" → Run list --category movies
"Set speed limits" → Run set-speedlimit --down 5M --up 1M

Notes

Requires network access to your qBittorrent server
Uses qBittorrent WebUI API v4.1+
All data operations return JSON
Delete operations with --files are permanent - always confirm before deleting downloaded files
Speed limits support units: K (KB/s), M (MB/s), or raw bytes
Magnet links and torrent URLs are added without local file upload
Categories must exist before assignment (create via WebUI or API)

🔧 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>

Scripts

Script	Purpose
`qbit-api.sh`	Main API wrapper — all torrent operations
`qbit-api-wrapper.sh`	Thin PTY shim — captures and re-prints `qbit-api.sh` output via `printf` to ensure visibility in environments where stdout buffering may suppress output

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 Qbittorrent AI skill do?

Why use Qbittorrent on TypingMind?

Because you install it once and use it with any model. Qbittorrent 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 Qbittorrent in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jmagar/claude-homelab/tree/main/skills/qbittorrent. 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 Qbittorrent?

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 Qbittorrent?

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

Is the Qbittorrent 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

qBittorrent WebUI API

Purpose

Setup

Quick Reference

List Torrents

Get Torrent Info

Add Torrent

Control Torrents

Categories & Tags

Transfer Info

App Info

Response Format

Workflow

Notes

🔧 Agent Tool Usage Requirements

Scripts

Bundled files

Frequently asked questions

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