An AI-powered skill that translates natural language questions into precise SQL queries and actionable data insights.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install chat-ai
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 chat-ai 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 Text-to-Data Chat AI?
The Text-to-Data skill is a sophisticated bridge between human language and complex databases. By leveraging advanced Large Language Model capabilities, it allows users to interact with their data using conversational prompts, eliminating the need for manual SQL writing. This component of the Openclaw Skills ecosystem ensures high accuracy through multi-turn dialogue support and automated intent recognition, making data exploration accessible to non-technical users and faster for developers.
Text-to-Data Chat AI Use Cases
- Querying monthly sales performance for specific products without writing code.
- Comparing regional GMV and business metrics across different time periods.
- Analyzing user retention and behavioral patterns using text2sql commands.
- Generating quick data summaries for executive reporting and business intelligence.
How Text-to-Data Chat AI Works
- The user provides a natural language query via the input parameter.
- The system performs intent recognition to understand the context and entities within the question.
- A text2sql engine generates a secure SQL query based on the underlying database schema.
- The SQL is audited for safety and then executed against the target database.
- Results are returned as a structured JSON object including the raw data, a natural language summary, and visualization recommendations.
Text-to-Data Chat AI Setup
To integrate this skill into your workflow, follow these steps:
- Ensure your database connection strings are configured within your agent environment.
- Install the skill using the Openclaw Skills manager:
openclaw install text-to-data
- Define your table metadata and schema descriptions to improve the accuracy of the intent recognition engine.
Text-to-Data Chat AI Data Schema & Taxonomy
The skill processes queries and returns results in a standardized JSON format to ensure compatibility across Openclaw Skills integrations:
| Field | Type | Description |
|---|---|---|
| status | String | Indicates operation success or error |
| sql | String | The actual SQL statement generated and executed |
| result | Array | An array of objects containing the row-based table data |
| summary | String | A brief natural language conclusion derived from the data |
| regions | Array | Traceability steps such as recognize_intent or sql_generator |
Text-to-Data Chat AI Advanced Features
- Multi-turn dialogue support for refining and drilling down into complex data queries.
- Automated SQL auditing and validation to prevent destructive operations and ensure query safety.
- Intelligent intent recognition for mapping ambiguous natural language terms to specific database columns.
- Recommended visualization formats based on the structure and content of the returned dataset.
SKILL.md
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