A professional-grade task management skill for AI agents to track goals, ongoing work, and completed objectives separately from daily logs.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openclaw-todo-list
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install openclaw-todo-list using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Todo List Skill?
The Todo List skill provides a structured framework for AI agents to manage goal-oriented tasks. Unlike standard daily logs or journals, this skill focuses strictly on actionable items, ensuring that project objectives remain visible and tracked through their entire lifecycle. It establishes a clear boundary between process documentation and task fulfillment.
By implementing a dedicated memory structure, it allows agents to autonomously update their progress, move items to in-progress states, and archive finished work. This systematic approach ensures that high-priority tasks are never lost in the noise of daily conversation logs within the Openclaw Skills framework.
Todo List Skill Use Cases
- Explicit assignment of new tasks by the user to the AI agent.
- Autonomous task identification where the agent determines necessary next steps.
- Real-time progress tracking of complex, multi-step projects.
- Auditing completed work for end-of-project reporting or handovers.
- Requesting quick status updates on pending versus completed items.
How Todo List Skill Works
- Task Identification: The agent identifies a clear task from user input or project requirements.
- Recording: The task is added to the TODO.md file with a description, reason, and timestamp.
- Active Tracking: As work begins, the agent moves the item from the Pending section to the In-Progress section.
- Completion: Once the task is fulfilled, the agent transfers the entry to the DONE.md file, adding details on how it was completed.
- Reporting: The agent can read both files at any time to provide a concise status report to the user.
Todo List Skill Setup
To initialize the task management structure for Openclaw Skills, create the following directory and file structure:
mkdir -p memory/todo
touch memory/todo/TODO.md
touch memory/todo/DONE.md
Ensure your agent has read/write permissions to the memory/todo/ directory.
Todo List Skill Data Schema & Taxonomy
The skill organizes data across two primary Markdown files to separate active work from history:
| File | Purpose | Key Metadata |
|---|---|---|
| TODO.md | Active and pending tasks | Description, Reason, Start Date, Owner |
| DONE.md | Archived completed tasks | Description, Resolution, Completion Date, Owner |
Entry Format:
[ ] Task · Reason · Date @owner(Pending/In-Progress)[x] Task · Resolution · Date @owner(Completed)
Todo List Skill Advanced Features
- Granular Status Separation: Distinguishes between tasks that are merely 'to-do' and those actively being processed.
- Autonomous Proactive Updates: The agent is programmed to update task status as soon as progress is made without waiting for user prompts.
- Dedicated Owner Attribution: Uses
@mentionsto track which specific agent or user is responsible for a task. - Reference Documentation: Includes a spec.md and example-todo.md within the skill directory to maintain consistency across different agent instances.
SKILL.md
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