Qlik Cloud Integration for AI Agents for Openclaw

A comprehensive integration suite of 37 tools for managing Qlik Cloud analytics, reloads, and AI-powered insights through Openclaw Skills.

undsoul
v1.0.3
Feb 5, 2026
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Install & Download

1. ClawHub CLI

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

npx clawhub@latest install qlik-cloud

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 qlik-cloud 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 Qlik Cloud Integration for AI Agents?

This skill provides a deep integration with the Qlik Cloud platform, enabling AI agents to interact directly with business intelligence assets. It bridges the gap between raw data and actionable insights by allowing agents to perform health checks, manage application lifecycles, and execute complex data reloads. By leveraging Openclaw Skills, developers can empower their agents to understand data models and retrieve real-time KPIs using natural language processing.

Beyond basic dashboard management, the skill supports advanced Qlik features like AutoML, Qlik Answers AI, and data lineage. This ensures that your AI workforce can not only find and refresh data but also interpret it within the context of your organization's governance and security frameworks. This library of scripts is designed to be the definitive interface for any agent operating within the Qlik ecosystem.

Qlik Cloud Integration for AI Agents Use Cases

  • Ask natural language questions about business performance to get real data values.
  • Trigger and monitor data reloads before generating executive summaries.
  • Search for specific analytics apps, sheets, or spaces across the entire tenant.
  • Manage machine learning experiments and deployments using AutoML.
  • Investigate data lineage and file dependencies for troubleshooting data models.

How Qlik Cloud Integration for AI Agents Works

  1. The agent identifies the need for Qlik data or management actions based on user intent.
  2. It uses search or listing tools to locate the specific App ID or Resource ID required for the operation.
  3. For data queries, the agent sends a natural language question to the Insight Advisor via the specialized insight script.
  4. For administrative tasks, it triggers specific scripts for reloads, user management, or automation runs using provided parameters.
  5. The skill returns a structured JSON response which the agent parses to provide a final answer or confirm the action's success.

Qlik Cloud Integration for AI Agents Setup

To get started with this skill, you need to configure your credentials in your environment or TOOLS.md file. Ensure you have a valid tenant URL and an API key generated from your Qlik Cloud profile.

# Example setup in TOOLS.md
### Qlik Cloud
- Tenant URL: https://your-tenant.region.qlikcloud.com
- API Key: your-api-key-here

You can test the connection using the health check script provided in the Openclaw Skills package:

bash scripts/qlik-health.sh

Qlik Cloud Integration for AI Agents Data Schema & Taxonomy

The skill organizes data around the Qlik Cloud API structure, returning consistent JSON objects for all operations. Key data entities include:

Entity Description Key Fields
Apps Analytics applications id, name, description, lastReloadTime
Reloads Data refresh tasks id, status, appId, startTime
Insights AI-generated data results success, data (values/trends), timestamp
Lineage Data flow maps resources, connections, direction
Automations Workflow metadata id, name, lastRunStatus

All responses include a success boolean and a timestamp for auditing within Openclaw Skills.

Qlik Cloud Integration for AI Agents Advanced Features

  • Native support for Qlik Insight Advisor for conversational analytics.
  • Integration with Qlik Answers for AI-powered Q&A assistants.
  • Full lifecycle management for AutoML experiments and deployments.
  • Low-code workflow execution via Qlik Automations.
  • Multi-level data lineage visualization for complex data governance.
  • Real-time data alert evaluation and management for proactive monitoring.

SKILL.md


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