A sophisticated task management skill for Openclaw Skills that translates natural language into structured docstore commands for lists, boards, and planning.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install task
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 task 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 Tasker Task Management?
The Tasker skill is a robust interface for the tasker_cmd utility, designed to manage task lists and planning within a Markdown-based docstore. By leveraging Openclaw Skills, it provides a seamless bridge between natural language interaction and deterministic task management. Unlike simple Markdown lists, this skill maintains structured metadata and deterministic views, ensuring that your data remains organized and queryable while hiding complex machine IDs from the human interface.
Whether you are managing a simple to-do list or complex projects across multiple workstreams, this skill ensures that every action is accurately reflected in your documentation. It is optimized for chat-friendly environments, making it an essential component of the Openclaw Skills ecosystem for developers who prioritize high-velocity task capturing and organized project tracking.
Tasker Task Management Use Cases
- Reviewing today's tasks and overdue items in a chat-optimized format.
- Planning your upcoming week with a 7-day summary of commitments.
- Capturing new ideas and tasks quickly with metadata like due dates and project tags.
- Visualizing project progress using automated board views.
- Updating and completing tasks using partial title matching for efficiency.
How Tasker Task Management Works
- The AI agent receives a natural language request related to task management within the Openclaw Skills framework.
- The skill analyzes the input and translates it into specific arguments for the tasker_cmd tool.
- For complex additions, the skill parses pipe-separated strings to extract titles, details, and dates.
- If a task reference is ambiguous, the skill runs a resolution process to identify the correct task based on search matches in notes and titles.
- The command is executed, and the output is formatted for the user, typically using chat-friendly styles to ensure readability.
Tasker Task Management Setup
To get started with this skill within the Openclaw Skills environment, ensure your task management CLI is available. You can verify your setup using the following command:
tasker config show
No additional manual configuration of machine IDs is required, as the skill handles smart resolution and project mapping automatically.
Tasker Task Management Data Schema & Taxonomy
| Component | Description |
|---|---|
| Docstore | Markdown-based storage with structured metadata headers. |
| Formatting | Supports telegram, json, and ndjson output modes. |
| Project Scoping | Tasks are organized by project names and tags for deterministic filtering. |
| Smart Selectors | Uses partial string matching and body searches to identify tasks without IDs. |
Tasker Task Management Advanced Features
- Smart fallback resolution that allows acting on tasks using partial titles or note content.
- Integrated board views for visual project management directly within the CLI or chat interface.
- Raw argument passing for power users via slash commands to bypass natural language processing.
- Multi-format support specifically designed for Telegram and WhatsApp integration within Openclaw Skills.
- Support for metadata piping (title | details | due date) for rapid, structured task entry.
SKILL.md
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