DuckDB ACP enables natural language to SQL queries using AI agents like Claude Code. Operations teams can query data in plain English, reducing SQL dependency and speeding up analysis. It integrates directly into DuckDB workflows, connecting with existing data pipelines and tools.
git clone https://github.com/sidequery/duckdb-acp.gitDuckDB ACP enables natural language to SQL queries using AI agents like Claude Code. Operations teams can query data in plain English, reducing SQL dependency and speeding up analysis. It integrates directly into DuckDB workflows, connecting with existing data pipelines and tools.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/sidequery/duckdb-acpCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Convert the following natural language query into a DuckDB SQL query: [QUERY]. The query should be optimized for performance and return the most relevant results. The data is stored in a DuckDB database with the following schema: [SCHEMA].
# SQL Query
```sql
SELECT
date,
COUNT(*) AS total_orders,
SUM(amount) AS total_revenue
FROM
orders
WHERE
date BETWEEN '2023-01-01' AND '2023-12-31'
GROUP BY
date
ORDER BY
date;
```
# Explanation
The above SQL query will:
- Filter orders from the year 2023
- Group the results by date
- Calculate the total number of orders and total revenue for each day
- Order the results chronologically
This query provides a daily summary of order activity and revenue for the specified year.Create Beautiful Branded Deliverables. Ship Professionally. Repeat.
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