A powerful integration that enables AI agents to monitor, standardize, and document APIs through the Treblle platform.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install treblle
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 treblle 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 Treblle Integration for AI Agents?
The Treblle skill for Openclaw Skills provides a seamless interface to interact with Treblle's comprehensive API monitoring and documentation suite. By leveraging the Membrane framework, this skill allows AI agents to manage API projects, endpoints, and organizational data without the complexity of manual authentication or credential management.
This integration is designed for developers and product teams who need real-time insights into API performance and reliability. It transforms raw API data into actionable intelligence, allowing your AI agent to assist in debugging, performance optimization, and maintaining up-to-date documentation effortlessly.
Treblle Integration for AI Agents Use Cases
- Automating API documentation updates directly from developer workflows.
- Monitoring API endpoint health and performance metrics through an AI agent.
- Streamlining debugging processes by accessing Treblle request and response logs via CLI.
- Organizing API groups and project data within a standardized framework.
- Facilitating rapid integration of Treblle data into multi-agent AI environments.
How Treblle Integration for AI Agents Works
- The AI agent utilizes the Membrane CLI to establish a secure connection to the Treblle platform.
- Authentication is handled automatically via a browser-based flow or headless authorization codes, ensuring no local secrets are stored.
- The agent searches for specific actions based on natural language intent (e.g., "list projects") using the Openclaw Skills infrastructure.
- Actions are executed with JSON parameters to retrieve or modify Treblle records.
- If a specific action isn't pre-defined, the agent can use the proxy request feature to communicate directly with the Treblle API while maintaining automatic header injection and credential refresh.
Treblle Integration for AI Agents Setup
Install Membrane CLI
Install the necessary tools to manage Openclaw Skills from your terminal:
npm install -g @membranehq/cli@latest
Authentication
Log in to your environment to begin using the Treblle skill:
membrane login --tenant --clientName=openclaw
Establish Connection
Create a connection to Treblle to enable API access:
membrane connection ensure "https://treblle.com/" --json
Treblle Integration for AI Agents Data Schema & Taxonomy
The Treblle skill organizes data around the following primary entities:
| Entity | Description |
|---|---|
| Project | The top-level container for API monitoring and documentation. |
| Endpoint | Individual API routes being tracked, including request/response metadata. |
| Group | Logical collections of endpoints for easier organization. |
| Organization | The administrative level managing multiple projects and users. |
| User | Individual account details and permission levels within the platform. |
Treblle Integration for AI Agents Advanced Features
- Natural Language Action Discovery: Search for specific Treblle capabilities using intent-based queries rather than static command lists.
- Transparent Proxy Requests: Send direct HTTP requests to the Treblle API with automatic authentication injection for edge cases not covered by standard actions.
- Automated Credential Lifecycle: Full server-side management of OAuth tokens and API keys, removing the need for manual token handling.
- Long-polling Status Checks: Built-in support for waiting on asynchronous connection states during initial setup.
- Machine-readable Output: Support for --json flags across all commands to facilitate multi-agent data exchange.
SKILL.md
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