Cowork Folder Organizer logo

Cowork Folder Organizer

Organization
OneWave-AI
cowork-folder-organizer

Cowork-style cleanup of a messy folder or shared drive -- classifies every file, proposes a target structure, renames to a consistent convention, deduplicates, and writes an index. Use on Downloads, Desktop, client folders, or team shared drives.

Overview

PublisherOneWave-AI
Repositoryclaude-skills
Skill namecowork-folder-organizer
Stars
293
Forks
49
Bundled files
Instructions only
LicenseMIT
Links
  • 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 OneWave-AI on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. 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.
2

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/OneWave-AI/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/cowork-folder-organizer .claude/skills/cowork-folder-organizer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cowork Folder Organizer 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 Cowork Folder Organizer 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 Cowork Folder Organizer 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.

Cowork Folder Organizer

Turn a chaotic folder into an organized, navigable workspace the way Claude Cowork works through a directory: inventory everything first, propose before moving, then execute with a full undo trail. Never destroy information -- every move is logged and reversible.

Input

Take a directory path. If none is provided, ask for one. Confirm scope before touching anything: subdirectories included or not, and whether any paths are off-limits.

Workflow

  1. Inventory. Walk the directory. For every file record name, extension, size, modified date, and a one-line content summary (read headers/first lines for documents, metadata for media). Do not open files larger than 50MB; classify by name and type only.
  2. Classify. Group files into categories inferred from the actual contents -- not a generic template. Typical clusters: active project files, reference material, financial documents, contracts, media/assets, installers and archives, duplicates, junk (temp files, ~$ locks, empty files).
  3. Detect duplicates. Match by checksum first, then by near-identical names with version suffixes (final, final2, v3, (1)). Identify the canonical copy (newest complete version) and mark the rest.
  4. Propose. Present the target folder tree, the naming convention (default: YYYY-MM-DD-descriptive-name.ext for dated documents, client-project-doctype for client work), the duplicate resolution list, and the junk list. Wait for approval before moving anything.
  5. Execute. Create the structure, move and rename files, quarantine duplicates and junk into _review-before-deleting/ -- never delete outright. Log every operation as old-path -> new-path in _organizer-log.md.
  6. Index. Write INDEX.md at the root: the new tree, what lives where, and a table of the 20 most recently active files so the owner can re-orient instantly.

Rules

  • Propose first, move second. Never reorganize without showing the plan.
  • Never delete. Quarantine to _review-before-deleting/ and let the human pull the trigger.
  • Preserve anything that looks like the only copy of original work (contracts, signed PDFs, raw footage) in place if its location seems intentional.
  • Keep names human-readable. No hash suffixes, no ALL_CAPS, no spaces-to-underscores churn on files that are already well named.
  • If the folder is a shared drive, flag files other people may have links to before renaming them.
  • Report at the end: files processed, moved, renamed, duplicates found, space reclaimable.

Scheduled Mode

When run as a recurring Cowork scheduled task (e.g. weekly on Downloads), skip the approval step only for previously approved rules: apply the established convention to new files, quarantine new junk, and post a summary of what moved. Anything that does not match an existing rule goes to _needs-decision/ and is listed in the summary.

Quick Commands

  • "Organize [path]" -- full workflow with proposal
  • "Just show me the plan" -- phases 1-4 only, no changes
  • "Dedupe only" -- duplicate detection and quarantine, no restructuring
  • "Undo" -- reverse the last run from _organizer-log.md

Frequently asked questions

What does the Cowork Folder Organizer AI skill do?

Cowork-style cleanup of a messy folder or shared drive -- classifies every file, proposes a target structure, renames to a consistent convention, deduplicates, and writes an index. Use on Downloads, Desktop, client folders, or team shared drives.

Why use Cowork Folder Organizer on TypingMind?

Because you install it once and use it with any model. Cowork Folder Organizer 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 Cowork Folder Organizer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/OneWave-AI/claude-skills/tree/main/cowork-folder-organizer. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Cowork Folder Organizer?

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 Cowork Folder Organizer?

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

Is the Cowork Folder Organizer AI skill free?

Yes. It is published on GitHub by OneWave-AI 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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