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Task Handoff

Community
ArchieIndian
task-handoff

Gracefully hands off incomplete tasks across agent restarts. Use when work must be paused mid-task.

Overview

PublisherArchieIndian
Repositoryopenclaw-superpowers
Skill nametask-handoff
Stars
74
Forks
14
Bundled files
1
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.

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

Installation

Install the Task Handoff 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/ArchieIndian/openclaw-superpowers/tree/main/skills/openclaw-native/task-handoff
  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/ArchieIndian/openclaw-superpowers.git /tmp/openclaw-superpowers
mkdir -p .claude/skills
cp -r /tmp/openclaw-superpowers/skills/openclaw-native/task-handoff .claude/skills/task-handoff
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Task Handoff 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 Task Handoff 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 Task Handoff 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.

Task Handoff

State file: ~/.openclaw/skill-state/task-handoff/state.yaml

Pre-Handoff Checklist

  • Current state is stable (no half-written files, no broken tests)
  • All changed files are saved
  • Tests have been run
  • Handoff document is written
  • State file is updated
  • Memory is updated

Writing a Handoff

Save to tasks/handoff-[task-name]-[timestamp].md:

# Handoff: [task name]
Written: YYYY-MM-DD HH:MM
Reason: [why stopping]

## Current State
[1-3 sentences: exactly where things are]

## What's Done
- [step] done

## What's Next
- [next step] - specific instructions

## Important Context
- [anything non-obvious from the code]
- [decisions made and why]

## Files Modified
- path/to/file - [what changed]

## Tests
- Last run: YYYY-MM-DD HH:MM
- Status: PASSING / FAILING

## Blockers
- [anything blocking]

Then update state: active_handoff_path (full path to the file), task_name, reason, status: written, written_at, files_modified.

Picking Up a Handoff

  1. Read state file to get active_handoff_path
  2. Read the handoff document completely before touching any code
  3. Run the tests to confirm current state
  4. Start from 'What's Next' — do not redo completed steps
  5. When complete: delete handoff file, update state status: picked_up, clear active_handoff_path

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 Task Handoff AI skill do?

Gracefully hands off incomplete tasks across agent restarts. Use when work must be paused mid-task.

Why use Task Handoff on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ArchieIndian/openclaw-superpowers/tree/main/skills/openclaw-native/task-handoff. 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 Task Handoff?

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 Task Handoff?

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

Is the Task Handoff AI skill free?

It is published on GitHub by ArchieIndian. Check the repository for licensing terms. 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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