QuestDB Integration for AI Agents for Openclaw

A high-performance time-series database skill that enables AI agents to query and manage large-scale time-stamped data using SQL.

gora050
v1.0.2
May 1, 2026
0
398
1

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install questdb

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install questdb 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 QuestDB Integration for AI Agents?

QuestDB is an open-source database optimized for high-speed ingestion and querying of time-series data. This integration allows AI coding agents to interact with QuestDB to build real-time dashboards, monitoring systems, and data analytics pipelines. By utilizing the Membrane framework, this skill provides a secure way for Openclaw Skills to perform complex SQL operations on financial data, IoT sensor metrics, and application logs.

The core value of this skill lies in its ability to abstract away the complexities of authentication and connectivity. It provides a standardized interface for agents to explore table schemas, run queries, and manage database configurations. Using Openclaw Skills with QuestDB ensures that your AI-driven workflows remain performant and scalable while maintaining best practices for credential management.

QuestDB Integration for AI Agents Use Cases

  • Running real-time SQL queries on high-frequency financial or market data.
  • Automating the monitoring of IoT sensor readings and generating alerts.
  • Managing application performance metrics and building automated reporting dashboards.
  • Integrating time-series data analysis into developer workflows using Openclaw Skills.
  • Ingesting and querying large-scale time-stamped records for data science pipelines.

How QuestDB Integration for AI Agents Works

  1. Install the Membrane CLI to facilitate communication between the AI agent and the database.
  2. Authenticate the agent session using the login command to handle secure tenant access.
  3. Establish a connection to the QuestDB instance via a normalized URL or domain.
  4. Monitor the connection state, ensuring any required client actions or inputs are completed.
  5. Search for specific database actions using intent-based discovery to find the most efficient query methods.
  6. Execute the discovered actions or use the proxy request feature for direct API interactions, all while Openclaw Skills manages the data flow.

QuestDB Integration for AI Agents Setup

First, install the Membrane CLI globally:

npm install -g @membranehq/cli@latest

Next, authenticate your environment. Replace <agentType> with your specific agent name (e.g., openclaw):

membrane login --tenant --clientName=openclaw

Initialize the connection to your QuestDB instance:

membrane connection ensure "https://questdb.io/" --json

If the connection state is BUILDING, wait for it to be READY:

npx @membranehq/cli connection get <id> --wait --json

QuestDB Integration for AI Agents Data Schema & Taxonomy

The skill organizes data around time-series tables and SQL query results. Data structures include:

Object Description
Query Result The JSON-formatted output of a SQL execution.
Table Schema Metadata describing columns, types, and time-partitioning.
Configuration Settings for the QuestDB connection and authentication.
Action Metadata Documentation for available intents such as QUERY or TABLE management.

All interactions via Openclaw Skills return machine-readable JSON to ensure seamless parsing and logic execution.

QuestDB Integration for AI Agents Advanced Features

  • Intent-based action discovery to find pre-built SQL logic and reduce token usage.
  • Transparent credential refresh, allowing Openclaw Skills to maintain persistent database access without manual token management.
  • Proxy request support for sending raw HTTP requests to the QuestDB API with automatic header injection.
  • Support for headless environments with browser-independent authentication flows.
  • Machine-readable JSON output for all CLI commands, optimized for AI agent consumption.

SKILL.md


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