Todokan Kanban Task Manager for Openclaw

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.

banatealab
v1.3.2
Feb 26, 2026
0
1.2k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install todokan

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

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).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Todokan Kanban Task Manager?

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.

Todokan Kanban Task Manager Use Cases

  • Organising complex workflows using Openclaw Skills to automate task creation and status updates.
  • Retrieving daily briefings and summaries of open project items to stay organized.
  • Saving research findings and AI-generated notes directly into kanban documents.
  • Searching for specific project details across multiple workspaces and habitats using Openclaw Skills.
  • Managing labels and priorities to ensure high-importance items are addressed first.

How Todokan Kanban Task Manager Works

  1. Orientation: The agent lists available habitats and boards to identify the correct workspace IDs, ensuring it never writes to the wrong location.
  2. Discovery: It queries specific boards for existing tasks or searches across all habitats for relevant topics using full-text search.
  3. Refinement: The agent proposes task variants or drafts based on user input to ensure accuracy before any data is committed.
  4. Execution: Upon confirmation, the skill creates or updates tasks, labels, and documents within the Todokan ecosystem.
  5. Tracking: The agent can poll the event feed to see what has changed since the last check, maintaining an up-to-date state.

Todokan Kanban Task Manager Setup

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.

Todokan Kanban Task Manager Data Schema & Taxonomy

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.

Todokan Kanban Task Manager Advanced Features

  • AI Visibility Gate: Specifically filter tasks based on the aiEnabled status to control exactly what Openclaw Skills can see.
  • AI-Assisted Task Creation: Use the propose_task_variants tool to generate multiple task styles from a single rough description.
  • Global Full-Text Search: Execute deep searches across all habitats and boards in a single tool call.
  • Event Feed Polling: Implement an agent loop that monitors changes and comments using get_events_since.
  • Granular Scoping: Switch between Planner and Worker endpoints to manage security and write permissions.

SKILL.md


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