An AI-driven integration for Teambition that enables seamless management of projects, tasks, and team collaborations via the Model Context Protocol.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install tb
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 tb using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
This skill empowers AI agents to interface directly with Teambition, a leading collaborative project management platform. By leveraging the Openclaw Skills framework, developers can automate the entire project lifecycle—from initializing sprints to tracking individual task progress and managing team permissions through a unified MCP server interface.
It acts as a bridge between your AI assistant and the Teambition ecosystem, allowing for natural language commands to be translated into structured API operations. This ensures that project data remains synchronized and actionable without manual dashboard navigation.
To get started with this skill, ensure you have npx installed and create a configuration file in your base directory.
# Create or update the configuration file
echo "mcp_server=https://your-mcp-server-url.com" > .teambition
echo "userid=your_user_id" >> .teambition
If you do not have your userid, the agent will attempt to fetch it automatically using the GetUsersMe tool upon first run. You can also store your authentication token in a .teambition-token file for operations requiring elevated permissions.
The skill manages its state through two primary local files, ensuring Openclaw Skills can maintain persistent connectivity:
| File | Description |
|---|---|
| .teambition | Contains the mcp_server URL and the userid for session identification. |
| .teambition-token | An optional file used to store user authentication tokens for secure API requests. |
All project and task data fetched is structured according to the Teambition V3 Open Platform specifications, including support for custom fields and taskflow statuses.
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