Todokan is a kanban-style task manager that enables AI agents to organize tasks, boards, and projects through the Model Context Protocol using Openclaw Skills.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install todokan
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install todokan using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Todokan provides a robust framework for managing workflow productivity within an AI environment. By utilizing Openclaw Skills, developers can grant their agents the ability to interact with habitats, boards, and tasks, allowing for seamless project tracking and organization. This skill bridges the gap between raw AI capabilities and structured task management, supporting everything from simple todo lists to complex kanban boards. Integrating this with other Openclaw Skills ensures a unified developer experience for task automation.
The system is built on the Model Context Protocol (MCP), providing a standardized way for AI models to read and write to your Todokan workspace. Whether you are managing software development sprints or brainstorming ideas in a thought board, this skill ensures your agent has the context it needs to be effective.
To integrate Todokan with Openclaw Skills, you must configure the following environment variables for your MCP server:
export TODOKAN_API_KEY="your_api_key_here"
export TODOKAN_MCP_URL="https://your-todokan-mcp-url"
Ensure that your MCP server is accessible and that the API key has the necessary permissions (Planner or Worker scope) based on your required level of access.
| Level | Description |
|---|---|
| Habitat | The top-level workspace grouping multiple boards. |
| Board | Kanban boards (Types: task or thought) that categorize items. |
| Task | Individual items with status (todo, doing, done), priority, and labels. |
| Document | Rich text (Markdown, HTML, Text) attached to specific tasks for context. |
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