Organize Task Files

CommunityPopular

platonai

organize-task-files

Lists, pairs, deduplicates, and moves task files across the Coworker task state machine (0draft → 6git-pushed). Use when asked to organize, clean up, or audit task files.

Overview

Publisher	platonai
Repository	`Browser4`
Skill name	`organize-task-files`
Stars	1.2K
Forks	152
Bundled files	1
License	Apache-2.0
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.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by platonai on GitHub. Read the source before you install it.

Installation

Install the Organize Task 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.
https://github.com/platonai/Browser4/tree/main/coworker/skills/organize-task-files
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/platonai/Browser4.git /tmp/Browser4
mkdir -p .claude/skills
cp -r /tmp/Browser4/coworker/skills/organize-task-files .claude/skills/organize-task-files

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

Use it in TypingMind

Enable Organize Task 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 Task 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 Task 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 Task Files

Manages .full.md (evaluation outputs) and .issues.md (extracted issues) files across the Coworker task state machine pipelines.

When to Use

"organize task files"
"show me what tasks are in each pipeline stage"
"find unpaired .full.md and .issues.md files"
"find duplicate task files"
"find empty issues files (zero issues found)"
"move task files from X to Y"
"clean up the issues draft directory"

How It Works

Scans coworker/tasks/ (issues, main) for .md task files
Parses filenames with pattern YYYYMMDD-HHMMSS-taskname.{full,issues}.md or plain taskname.md
Groups by task name, detects pairs/dupes/orphans, classifies by pipeline stage

Usage

Run the bundled script:

bash
python3 coworker/skills/organize-task-files/scripts/organize.py COMMAND [OPTIONS]

Commands

Command	Description
`summary`	Overview of all pipelines: file counts per stage, type breakdown
`list`	List all task files with full paths, grouped by pipeline stage
`pairs`	Match .full.md ↔ .issues.md pairs; flag orphans
`dupes`	Find duplicate task names across directories and stages
`empty`	Find .issues.md files with "0 issues found"
`move`	Move matching files between pipeline stages (dry-run by default)

Options

Flag	Description
`--dir DIR`	Only scan a specific directory (default: all task dirs)
`--dry-run`	Show what would happen without making changes (default for `move`)
`--force`	Actually perform moves (use with `move`)
`--json`	Output as JSON for scripting

Examples

bash
# Overview of all pipelines
python3 coworker/skills/organize-task-files/scripts/organize.py summary

# Find unpaired files in issues draft
python3 coworker/skills/organize-task-files/scripts/organize.py pairs --dir issues/draft

# List all duplicate task names
python3 coworker/skills/organize-task-files/scripts/organize.py dupes

# Find empty .issues.md files (zero issues)
python3 coworker/skills/organize-task-files/scripts/organize.py empty

# Preview moving empty issues files to a discard directory
python3 coworker/skills/organize-task-files/scripts/organize.py move --dir issues/draft --filter empty --target coworker/tasks/issues/review/done/discard

# Actually perform the move
python3 coworker/skills/organize-task-files/scripts/organize.py move --dir issues/draft --filter empty --target coworker/tasks/issues/review/done/discard --force

Pipeline Stages (for reference)


0draft → 1ready → 2working → 3done → 4review → 5approved → 6git-pushed

Plus parallel pipelines:

issues/draft/refine/ (0ready → 1working → 2done → 0error)
issues/github/commit/ (ready → done → failed)
issues/review/ and issues/review/done/
issues/local/done/ and issues/local/wontfix/

Bundled files

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

scripts/organize.py19 KB

Frequently asked questions

What does the Organize Task Files AI skill do?

Lists, pairs, deduplicates, and moves task files across the Coworker task state machine (0draft → 6git-pushed). Use when asked to organize, clean up, or audit task files.

Why use Organize Task Files on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/platonai/Browser4/tree/main/coworker/skills/organize-task-files. 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 Organize Task 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 Task Files?

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

Is the Organize Task Files AI skill free?

Yes. It is published on GitHub by platonai under the Apache-2.0 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 Task Files

When to Use

How It Works

Usage

Commands

Options

Examples

Pipeline Stages (for reference)

Bundled files

Frequently asked questions

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