A powerful integration enabling AI agents to manage Maestra's automated transcription and captioning services through a secure, credential-free workflow.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install maestra
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 maestra 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 Maestra Integration for AI Agents?
The Maestra skill for Openclaw Skills provides a seamless bridge to an AI-powered platform dedicated to transcribing and captioning media files. By utilizing this skill, developers and content creators can programmatically interact with transcripts, captions, and workspace assets without manually handling complex authentication flows.
This integration is built on top of the Membrane framework, which abstracts the underlying API complexities. It ensures that your AI agents can focus on processing media data and managing organizations while Membrane handles the heavy lifting of credential management and secure network requests.
Maestra Integration for AI Agents Use Cases
- Automatically generating captions for newly uploaded video content.
- Programmatically transcribing audio files for archival and searchability.
- Managing user permissions and organization data across Maestra workspaces.
- Creating automated workflows that trigger transcription tasks based on external events.
How Maestra Integration for AI Agents Works
- Initialize the environment by installing the Membrane CLI and logging in with your agent type.
- Create or find a Maestra connection using a simple domain-based lookup.
- Poll the connection status until the state is READY, handling any required user actions via provided URLs.
- Discover specific Maestra capabilities by searching for actions based on natural language intent.
- Execute actions or perform direct proxy requests to the Maestra API with automatic header injection and credential refresh.
Maestra Integration for AI Agents Setup
First, install the global CLI:
npm install -g @membranehq/cli@latest
Next, authenticate your agent (e.g., using Openclaw Skills):
membrane login --tenant --clientName=openclaw
Ensure the connection to Maestra is established:
membrane connection ensure "https://maestra.ai/" --json
Maestra Integration for AI Agents Data Schema & Taxonomy
The skill organizes data around the following core entities and metadata:
| Entity | Description |
|---|---|
| Asset | The primary media container, including transcripts and captions. |
| Workspace | Logical containers for projects and shared resources. |
| Organization | High-level account structure for user and permission management. |
| File | The raw media file being processed by the AI. |
| Action Object | Contains id, name, inputSchema, and outputSchema for programmatic execution. |
Maestra Integration for AI Agents Advanced Features
- Intent-based discovery to find the most efficient action for any transcription task.
- Direct API proxying with
membrane requestfor edge cases not covered by standard actions. - Headless environment support for server-side or remote agent authentication.
- Long-polling mechanisms with the
--waitflag for robust connection state management. - Automatic credential refresh and token management via the Membrane server-side vault.
SKILL.md
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