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Subtask

Community
zippoxer
subtask

Parallel task orchestration CLI that dispatches work to AI workers (via Claude Code) in isolated git workspaces. Use when the user wants to draft, create, run, or manage tasks, delegate tasks to workers/subagents, or mentions subtask or Subtask.

Overview

Publisherzippoxer
Repositorysubtask
Skill namesubtask
Stars
337
Forks
30
Bundled files
5
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.

  • 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 zippoxer on GitHub. Read the source before you install it.

Installation

Install the Subtask 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.
    https://github.com/zippoxer/subtask/tree/main/pkg/install
  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/zippoxer/subtask.git /tmp/subtask
mkdir -p .claude/skills
cp -r /tmp/subtask/pkg/install .claude/skills/subtask
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Subtask 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 Subtask 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 Subtask 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.

Subtask

Subtask is a CLI for orchestrating parallel AI workers. There are three roles: the user who gives direction, you (the lead) who orchestrates and delegates, and workers who execute tasks.

Each worker runs in an isolated git worktree. They can't conflict with each other.

The user tells you what they need. You clarify requirements, break work into tasks, dispatch to workers, review their output, iterate until it's right, and merge when ready.

Prefer to delegate exploration, research and planning to workers as parts of their tasks. Workers have time & space to dig deep, whereas you should preserve context to lead. Only go into details yourself when user explicitly requested, or the situation calls for it.

Mindset

  1. Understand before delegating — ask questions, clarify requirements. Don't rush to create tasks until you understand what the user actually wants.
  2. Own the complexity — stay on top of all tasks. Surface progress and blockers. Don't make the user chase status.
  3. Work autonomously — review output, request changes, iterate with workers. Only involve the user for decisions they need to make.
  4. Ask before merging — get user sign-off before merging. Don't merge without user approval.

Commands

CommandDescription
subtask ask "..."Quick question (no task, runs in cwd)
subtask draft <task> --base-branch <branch> --title "..." <<'EOF'Create a task
subtask send <task> <prompt>Prompt worker on task (blocks until reply)
subtask stage <task> <stage>Advance workflow stage
subtask listView all tasks
subtask show <task>View task details
subtask diff [--stat] <task>Show changes (from merge base)
subtask merge <task> -m "msg"Squash-merge task into base branch
subtask close <task>Close without merging, free workspace
subtask workspace <task>Get workspace path (a git worktree)
subtask interrupt <task>Gracefully stop a running worker
subtask log <task>Show task conversation and history
subtask trace <task>Debug what a worker is doing and thinking internally

Tip: Add --follow-up <task> on draft to carry forward conversation context from a prior task.

Flow

bash
# 1. Draft (task name is branch name, task description is shared with worker)
subtask draft fix/bug --base-branch main --title "Fix worker pool panic" <<'EOF'
There's an intermittent panic in the worker pool under high concurrency—likely a race condition in pool.go.
Reproduce, find root cause, fix, and add tests.
EOF

# 2. Start the worker
subtask send fix/bug "Go ahead."

# 3. When worker finishes, review and iterate
subtask stage fix/bug review
# Review with `subtask diff --stat fix/bug`, or read the files at `cd $(subtask workspace fix/bug)`.

# 4. Request changes if needed
subtask send fix/bug <<'EOF'
Also handle the edge case when pool is empty.
EOF

# 5. When ready, merge or close
subtask stage fix/bug ready
subtask merge fix/bug -m "Fix race condition in worker pool"
# Or if not merging: subtask close fix/bug

Critical: Use the Bash tool with run_in_background: true for subtask send. Tell the user you're waiting and stop. Don't poll or check. You'll be notified when done.

Merging

subtask merge squashes all task commits into a single commit on the base branch.

bash
subtask merge fix/bug -m "Fix race condition"

If conflicts occur, merge will fail with instructions. Follow them.

Stages

All tasks have stages: doing → review → ready

StageWhen to advance
doingWorker is working (default)
reviewWorker done, you're reviewing code
readyReady for human to decide (human review, merge, more work, etc.)

Advance with: subtask stage <task> <stage>

Planning Workflows

For complex tasks, add a plan stage: plan → implement → review → ready

You plan (--workflow you-plan): You draft PLAN.md in task folder, worker reviews and pokes holes. They plan (--workflow they-plan): Worker drafts PLAN.md in task folder, you review and approve or request changes.

Notes

  • Use subtask list to see what’s in flight.
  • Use subtask show <task> to see progress and details.
  • Use subtask log <task> to see task conversation and events.
  • Use subtask trace <task> to debug what a worker is doing and thinking internally.

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 Subtask AI skill do?

Parallel task orchestration CLI that dispatches work to AI workers (via Claude Code) in isolated git workspaces. Use when the user wants to draft, create, run, or manage tasks, delegate tasks to workers/subagents, or mentions subtask or Subtask.

Why use Subtask on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zippoxer/subtask/tree/main/pkg/install. 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 Subtask?

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 Subtask?

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

Is the Subtask AI skill free?

Yes. It is published on GitHub by zippoxer 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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