Organize Files

CommunityPopular

jxxghp

organize-files

Use this skill when the user asks MoviePilot to identify and organize a local or downloaded video/music file, season folder, recording, album directory, or mixed folder that automatic transfer did not handle. If failed transfer history IDs are supplied, use transfer-failed-retry instead.

Overview

Publisher	jxxghp
Repository	`MoviePilot`
Skill name	`organize-files`
Stars	11.8K
Forks	1.5K
Bundled files	Instructions only
License	GPL-3.0
Links	Skill source Repository Homepage

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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by jxxghp on GitHub. Read the source before you install it.

Installation

Install the Organize Files 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.
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/jxxghp/MoviePilot.git /tmp/MoviePilot
mkdir -p .claude/skills
cp -r /tmp/MoviePilot/skills/organize-files .claude/skills/organize-files

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

Use it in TypingMind

Enable Organize Files 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 Organize Files 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 Organize Files 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.

Organize Files

Use moviepilot_api for every MoviePilot business operation. Retired file, recognition, transfer, and history tools are not available.

Workflow

Establish scope. If the user provides a path, use it. If they identify a downloader task, use downloader-operation and its fixed scripts/mp-downloader.py helper to discover the instance and call tasks.list. If they only name a configured root, call storage.settings. Use storage.list to inspect the selected directory. Do not process a broad shared root without an explicit, bounded scope.
Classify files into movie, TV, one music recording, one complete album, subtitle/sidecar, or unrelated content. Do not group unrelated media merely because they share a directory.
Call media.recognize with the representative title or path. If uncertain, call media.search; if several exact candidates remain, use ask_user_choice. Never invent or translate an ID.
Preserve the exact media_source + media_id. For TV, verify season detail with media.detail when numbering is ambiguous. For music, a recording is one track, an album is one multi-track directory, and an artist is browse-only.
When duplicate risk matters, call library.exists. If an existing transfer record affects reorganization, inspect transfer.history.
Before a state-changing transfer, summarize the source, target identity, media type, season/music entity, storage, and mode. Continue only when the user's request already authorizes that exact action or after confirmation.
Call transfer.file once per verified unit. For an album, transfer the album directory once only after its supported audio-file count is consistent with the selected album detail.
If requested, call media.scrape after a successful transfer. Report actual tag, cover, and lyrics counts; never assume all lyrics were found.

Structured Calls

Directory listing: storage.list with storage/path/paging/sort in body.
Recognition: media.recognize with title/path in query.
Search: media.search with title/type/source constraints in query.
Detail: media.detail with path_params.media_id and identity/type in query.
Library check: library.exists with the exact identity in query.
Transfer: transfer.file with the manual-transfer request in body.
Actual transfer responses include data.items even when the batch reports failure. Inspect every item's state: accepted and retry_wait mean that background work remains; only completed confirms execution and settlement. manual_review requires resolving the task in the transfer queue first; failed and skipped do not mean imported. Do not resubmit an entire batch that already contains accepted or completed items. Preview responses remain planning data and do not contain execution states.
Scrape: media.scrape with path_params.storage, file item in body, and exact identity/type fields in query.

Stop and report instead of transferring when the source is missing, directory configuration is absent, identity remains ambiguous, an album appears mixed or incomplete, or the requested target would overwrite unrelated media.

Frequently asked questions

What does the Organize Files AI skill do?

Why use Organize Files on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jxxghp/MoviePilot/tree/v3/skills/organize-files. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Organize Files?

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 Organize Files?

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

Is the Organize Files AI skill free?

Yes. It is published on GitHub by jxxghp under the GPL-3.0 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

Organize Files

Workflow

Structured Calls

Frequently asked questions

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