A structured conversational task management system implementing GTD and Eisenhower Matrix principles for AI agents.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install claw-todolist
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 claw-todolist 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 claw-todolist?
The claw-todolist skill is a sophisticated task management framework specifically designed for AI agents utilizing the Todo List Management Protocol V3.2. It provides a robust architecture for organizing workflows based on Getting Things Done (GTD) and Eisenhower Matrix methodologies. As a key component in the ecosystem of Openclaw Skills, it allows users to manage complex task lists through simple, conversational commands while maintaining strict data structure and local persistence.
This skill is engineered for developers who require a deterministic and portable todo system. By confining all state and display configurations to its own directory, it ensures that your task data remains private and easily manageable. Integrating Openclaw Skills like this into your agent's toolkit transforms a standard LLM into a highly organized personal assistant capable of prioritizing high-impact work over busywork.
claw-todolist Use Cases
- Rapid task entry and completion using shorthand command aliases like a and x.
- Organizing project backlogs using Eisenhower Priority Groups and Weighting stars.
- Performing automated weekly audits of productivity via the REVIEW command.
- Maintaining a portable, local-first task database that doesn't depend on external cloud services.
How claw-todolist Works
- The user provides a natural language or shorthand command such as a (Add) or ls (List).
- The skill parses the input according to the V3.2 Protocol to extract task descriptions, due dates, and weights.
- The agent updates the local state file stored within the skill's own directory to ensure persistence.
- Output is formatted with Priority Group Headers and visual Weight indicators (⭐) for easy readability.
- The REVIEW logic analyzes the current list for structural health, checking for overdue tasks and P1 ratios.
claw-todolist Setup
To integrate this productivity tool with your existing Openclaw Skills, follow these steps:
# Navigate to your agent's skills directory
cd path/to/agent/skills
# Clone the claw-todolist repository or copy the directory
git clone [repository-url] claw-todolist
# The skill is self-contained and requires no external binary dependencies
claw-todolist Data Schema & Taxonomy
| Element | Description | Syntax |
|---|---|---|
| Priority Group | Eisenhower-based categorization | Header [P1, P2, etc.] |
| Weight | Visual task importance or effort | ⭐ Symbols |
| Due Date | Deadlines for task completion | DUE: YYYY-MM-DD |
| State | Local persistence within skill folder | skill-state.json |
| Aliases | Shorthand commands for efficiency | a, x, ls, e |
claw-todolist Advanced Features
- Automated Structural Analysis: Use the REVIEW command to detect aging tasks and strategic neglect.
- Deterministic Formatting: Strict adherence to text-based Priority Group Headers for consistent visual output.
- Localized Persistence: Complete isolation of data within the skill folder, preventing global namespace pollution.
- V3.2 Protocol Support: Ensures the AI agent follows a precise logic for task prioritization and weight distribution.
SKILL.md
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