An Eisenhower matrix API client and LangChain toolset for prioritizing tasks, goals, and notes within automated workflows.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install todozi
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 todozi 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 Todozi Eisenhower Matrix Skill?
Todozi is a comprehensive task management skill designed for developers and AI agents leveraging the Openclaw Skills ecosystem. It implements the Eisenhower matrix methodology, allowing users to categorize tasks into urgent and important quadrants such as do, delegate, defer, and dream. This structured approach ensures that high-impact work is prioritized while less critical tasks are managed effectively.
By providing both a robust Python SDK and pre-built LangChain tools, Todozi enables seamless integration into modern AI workflows. Whether you are building an autonomous agent that needs to manage its own TODO list or a developer looking to script complex productivity routines, this skill provides the necessary infrastructure to handle matrices, tasks, goals, and notes programmatically.
Todozi Eisenhower Matrix Skill Use Cases
- Automating task prioritization for AI agents using the Eisenhower matrix.
- Synchronizing project goals and daily tasks across different platforms via webhooks.
- Building custom productivity dashboards with real-time stats and completion rates.
- Managing high-volume task lists through bulk operations and advanced search filters via Openclaw Skills.
How Todozi Eisenhower Matrix Skill Works
- Initialize the TodoziClient with your unique API key to establish a secure connection to the API.
- Define organizational matrices based on Eisenhower categories like do, delegate, or defer to house your items.
- Create and categorize tasks, goals, or notes with specific priorities, due dates, and metadata.
- Integrate with LangChain to allow AI agents to list, search, or complete tasks autonomously using the provided toolset.
- Monitor progress using built-in stats and health check methods to ensure workflow efficiency and track completion rates.
Todozi Eisenhower Matrix Skill Setup
To get started with this skill in your Openclaw Skills environment, configure your credentials as follows:
# Set your API key in the environment
export TODOZI_API_KEY=your_key
# Optional: Set a custom API base URL
export TODOZI_BASE=https://todozi.com/api
Todozi Eisenhower Matrix Skill Data Schema & Taxonomy
The skill organizes data into structured dataclasses and matrices. Below is the primary data taxonomy:
| Object | Fields |
|---|---|
| TodoziTask | id, title, priority (high/low), status (todo/done), due_date, description, tags |
| TodoziMatrix | id, name, category (do, delegate, defer, dream, dont) |
| TodoziStats | total_tasks, completed_tasks, pending_goals, system_health |
| Webhooks | id, url, events (item.created, item.completed, etc.) |
Todozi Eisenhower Matrix Skill Advanced Features
- Bulk operations for updating, completing, or deleting multiple items in a single API call.
- Full-featured webhook management for real-time event notifications and external system synchronization.
- Advanced search capabilities that filter by title, description, tags, status, and priority simultaneously.
- Native LangChain tool integration, making it compatible with any Openclaw Skills based agent framework.
- Automated matrix creation patterns that simplify the onboarding of new tasks.
SKILL.md
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