A robust Taskade integration that enables AI agents to manage projects, tasks, and subtasks with automated authentication and workflow management.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install taskade
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 taskade 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 Taskade Skill for AI Agents?
The Taskade skill provides a streamlined interface for AI agents to interact with the Taskade project management and collaboration platform. It allows agents to organize notes, tasks, and projects within visual workspaces programmatically. By utilizing Openclaw Skills, developers can grant their agents the ability to manipulate complex project hierarchies without the burden of manual authentication plumbing. This skill leverages the Membrane ecosystem to ensure secure, server-side credential management, making it an essential tool for building autonomous productivity workflows.
Taskade Skill for AI Agents Use Cases
- Automating the creation and organization of projects and subtasks based on code analysis.
- Syncing development milestones from local environments directly to Taskade workspaces.
- Querying project status and task descriptions to provide context for AI-driven development tasks.
- Managing team collaboration by programmatically updating task owners and priority levels.
How Taskade Skill for AI Agents Works
- The AI agent initializes the environment by logging into the Membrane tenant through the CLI.
- A connection to Taskade is established using the ensure command, which handles the OAuth handshake automatically.
- The agent monitors the connection state, waiting for a READY status before proceeding with API operations.
- Intent-based discovery is used to find specific actions, such as task creation or workspace querying.
- The agent executes these actions with structured JSON input or performs direct proxy requests for complex API endpoints.
Taskade Skill for AI Agents Setup
To get started with this integration in your Openclaw Skills environment, install the CLI and authenticate:
npm install -g @membranehq/cli@latest
membrane login --tenant --clientName=openclaw
membrane connection ensure "https://taskade.com" --json
If the connection state is BUILDING, poll for readiness:
npx @membranehq/cli connection get <id> --wait --json
Taskade Skill for AI Agents Data Schema & Taxonomy
The skill organizes data according to Taskade's hierarchical model:
| Level | Entity | Purpose |
|---|---|---|
| 1 | Workspace | The primary container for organization and team members. |
| 2 | Project | A visual board or list containing specific work items. |
| 3 | Task | Individual work units with status, priority, and metadata. |
| 4 | Subtask | Granular action items nested within a parent task. |
| 5 | User | Identity data for assignment and collaboration tracking. |
Taskade Skill for AI Agents Advanced Features
- Server-side credential management that eliminates the need for local API keys.
- Natural language intent discovery to map agent goals to specific Taskade API actions.
- Transparent HTTP proxying for direct access to the Taskade REST API with automatic auth headers.
- Long-polling support for asynchronous connection building and setup processes.
SKILL.md
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