Long Running Task Management

Community

ArchieIndian

long-running-task-management

Breaks multi-hour tasks into checkpointed stages with resume capability. Use when a task is expected to take more than 30 minutes or multiple sessions.

Overview

Publisher	ArchieIndian
Repository	`openclaw-superpowers`
Skill name	`long-running-task-management`
Stars	74
Forks	14
Bundled files	1
Links	Skill source Repository

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 Long Running Task Management 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/ArchieIndian/openclaw-superpowers/tree/main/skills/openclaw-native/long-running-task-management
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/ArchieIndian/openclaw-superpowers/tree/main/skills/openclaw-native/long-running-task-management

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

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/ArchieIndian/openclaw-superpowers.git /tmp/openclaw-superpowers
mkdir -p .claude/skills
cp -r /tmp/openclaw-superpowers/skills/openclaw-native/long-running-task-management .claude/skills/long-running-task-management

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

Use it in TypingMind

Enable Long Running Task Management 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 Long Running Task Management 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 Long Running Task Management 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.

Long-Running Task Management

State file: ~/.openclaw/skill-state/long-running-task-management/state.yaml

When to Use

Task estimated at more than 30 minutes
Task will span multiple sessions
Task modifies many files across multiple directories

Starting a Task

Write initial state to the state file:
- task_id: short kebab-case name
- status: in_progress
- description: one-sentence goal
- stages: ordered list with status: pending for each
- started_at: current timestamp
Begin the first stage

At Each Checkpoint

Complete the stage
Run tests/verification
Update state file: mark stage status: complete, write checkpoint (what's stable now), write next_action (first thing to do on resume), update last_updated
Commit progress to git if applicable

Resume After Interruption

Read the state file
Check status and next_action
Continue from the next pending stage — do NOT start over

Completion

Update state: status: complete, final checkpoint
Run full verification

Cron Wakeup Behavior

On each 15-minute wakeup:

Read state file
If status: in_progress and last_updated is stale (>30 min ago): log a checkpoint update to daily memory
If status: complete or no active task: skip

Bundled files

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

STATE_SCHEMA.yaml1 KB

Frequently asked questions

What does the Long Running Task Management AI skill do?

Breaks multi-hour tasks into checkpointed stages with resume capability. Use when a task is expected to take more than 30 minutes or multiple sessions.

Why use Long Running Task Management on TypingMind?

Because you install it once and use it with any model. Long Running Task Management 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 Long Running Task Management in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ArchieIndian/openclaw-superpowers/tree/main/skills/openclaw-native/long-running-task-management. 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 Long Running Task Management?

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 Long Running Task Management?

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

Is the Long Running Task Management 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.

View all

Openclaw Repair Sweep

openclaw

OrganizationPopular

Run scoped OpenClaw issue/PR repair campaigns: coordinate workers, prove root causes, and land or close verified work under the requested authority.

Openclaw Test Performance

openclaw

OrganizationPopular

Benchmark, diagnose, and optimize OpenClaw test and plugin-suite runtime, import hotspots, CPU/RSS, heap growth, and slow coverage paths.

Openclaw Testing

Choose proportional OpenClaw tests and checks, diagnose failures, and route environment-sensitive or release proof to its owner.

Release Openclaw Ci

Run, watch, debug, and summarize OpenClaw full release CI, release checks, live provider gates, install/update proofs, and release-secret preflights.

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Long-Running Task Management

When to Use

Starting a Task

At Each Checkpoint

Resume After Interruption

Completion

Cron Wakeup Behavior

Bundled files

Frequently asked questions

Related AI Skills

Set up your own AI workspace now