A sophisticated integration that enables AI agents to explore data, manage dashboards, and automate business intelligence workflows using Whaly and the Membrane CLI.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install whaly
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 whaly 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 Whaly?
Whaly is a premier data exploration and visualization platform designed for data analysts and business intelligence professionals. It provides a centralized hub to connect various data sources and transform them into interactive dashboards. This integration for Openclaw Skills allows developers to programmatically interact with Whaly's core components—including datasets, enrichments, and models—via a managed infrastructure that simplifies authentication and API communication.
Whaly Use Cases
- Automating the retrieval of data insights and visualizations for automated reporting.
- Programmatically managing and versioning data models within a business intelligence pipeline.
- Enriching existing datasets with new information via AI agent triggers.
- Integrating real-time Whaly dashboard data into broader Openclaw Skills automation workflows.
How Whaly Works
- The Openclaw Skills agent uses the Membrane CLI to authenticate and establish a secure connection with Whaly.
- Connections are initialized and monitored; Membrane handles the full OAuth or API key lifecycle server-side to maintain security.
- The agent performs natural language searches to discover specific Whaly actions, such as listing projects or querying datasets.
- Structured actions are executed through the CLI, returning JSON payloads that the agent can interpret and act upon.
- If specific functionality is required beyond pre-built actions, the agent uses the proxy request feature to communicate directly with the Whaly API while maintaining automatic header and credential management.
Whaly Setup
To get started with Whaly in your Openclaw Skills environment, first install the Membrane CLI:
npm install -g @membranehq/cli@latest
Next, authenticate the CLI with your tenant and set the agent type to openclaw:
membrane login --tenant --clientName=openclaw
Ensure a connection is established to the Whaly platform:
membrane connection ensure "https://whaly.io/" --json
If the connection requires further action, poll for status until it is ready:
membrane connection get <connection_id> --wait --json
Whaly Data Schema & Taxonomy
The Whaly skill organizes data across several key entities. Data returned to Openclaw Skills follows a structured schema for consistent parsing:
| Component | Description |
|---|---|
| Dashboard | Metadata and configuration for interactive visualizations |
| Dataset | Core data structures including enrichment configurations |
| Model | Business logic and versioned data definitions |
| Project | Top-level containers for organizing Whaly assets |
| User | Identity and permission data |
All interactions return JSON objects containing the results in the output field, ensuring compatibility with modern AI agent toolsets.
Whaly Advanced Features
- Intelligent Action Discovery: Use natural language intent to find the correct API operations without manual documentation lookups.
- Transparent Proxy Layer: Send raw HTTP requests to Whaly endpoints while Membrane automatically injects the correct authentication headers.
- Asynchronous Connection Management: Handle complex authentication flows using polling and client-action requirements.
- Credential Abstraction: Securely manage access for Openclaw Skills without ever exposing sensitive API keys to the local environment.
- Machine-Readable JSON Output: All CLI commands support a --json flag for seamless integration into automated data pipelines.
SKILL.md
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