todozi

What This Skill Does

The Todozi skill provides a comprehensive interface for the Todozi Eisenhower matrix platform, enabling AI agents to manage tasks, goals, and notes with high structural integrity. By implementing the Eisenhower matrix methodology, this skill helps users categorize their workload into distinct buckets: Do (Urgent/Important), Delegate, Defer, and Don't. It offers full CRUD capabilities, advanced filtering, bulk operations for batch updates, and support for webhooks to keep external systems in sync. The skill is available both as a direct Python SDK for high-performance integrations and as LangChain-compatible tools for seamless incorporation into autonomous agent workflows.

Installation

To install this skill, use the ClawHub CLI inside your OpenClaw environment:

clawhub install openclaw/skills/skills/bgengs/todozi

After installation, you must configure your environment variables to authenticate with the Todozi API:

export TODOZI_API_KEY="your_api_key_here" export TODOZI_BASE="https://todozi.com/api"

Use Cases

• Automated Task Prioritization: Allow an agent to ingest incoming emails or tickets and automatically slot them into the correct Eisenhower category.
• Project Management Orchestration: Sync project milestones (goals) with daily tasks, ensuring that long-term objectives are broken down into actionable daily items.
• End-of-Day Reporting: Utilize the get_stats method to generate daily productivity summaries for managers or personal review.
• Bulk Maintenance: Batch process deferred items at the end of the week or archive completed goals without manual intervention.

Example Prompts

1. "Find all tasks tagged as 'urgent' or 'high priority' that are currently in the 'Do' category and summarize them for me."
2. "I just finished my morning planning. Create a new task titled 'Draft Project Proposal' in the 'Do' matrix, set the priority to high, and add tags for 'documentation' and 'q1-goals'."
3. "Go through all my 'Defer' tasks and move anything due before next Monday into the 'Do' category, then notify me once completed."

Tips & Limitations

When using the search functionality, keep in mind that the current implementation only indexes titles, descriptions, and tags; it does not perform deep content scanning within attached files or extended data fields. For large-scale organization, utilize the bulk update and bulk completion features to reduce API latency. If your agent is processing a high volume of data, always define clear limit parameters in your search queries to maintain optimal performance. Ensure that webhooks are properly authenticated if you are integrating with external production services to prevent unauthorized data triggers.