A powerful integration for managing collaborative documents, spreadsheets, and slide presentations via AI-driven workflows using Openclaw Skills.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install mila
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 mila using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Mila is a robust collaborative platform designed for the modern developer and AI agent ecosystem. By leveraging this integration within Openclaw Skills, users can programmatically manipulate rich HTML documents, complex workbooks with A1 notation, and dynamic slide decks on a 960x540 canvas. It serves as a bridge between AI logic and physical asset creation, allowing for real-time collaboration and server-based organization.
This skill enables developers to connect their AI agents directly to Mila's workspace, facilitating the automated creation and editing of professional assets. Whether you are generating reports or managing team spreadsheets, the Mila integration for Openclaw Skills provides a structured API and MCP interface to handle all your content needs.
To get started with Mila in your Openclaw Skills environment, follow these steps:
Authorization: Bearer mila_sk_your_key_here
{
"mcpServers": {
"mila": {
"url": "https://mcp.mila.gg",
"headers": {
"Authorization": "Bearer mila_sk_your_key_here"
}
}
}
}
The Mila skill organizes data across four primary resource types, summarized below:
| Resource | Format | Key Fields |
|---|---|---|
| Documents | HTML String | title, content |
| Spreadsheets | A1 Notation | title, cells (e.g., {"A1": {"value": 100}}) |
| Slides | HTML/Canvas | title, data (array of slide objects with html, background, notes) |
| Servers | Workspace ID | id, name, type (personal or server_id) |
All list responses include a pagination object with total, limit, and offset fields to manage large datasets efficiently.
= and dynamic row appending.Loading
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