---
title: "Snowflake Query Optimizer Agent"
description: "Analyzes and optimizes Snowflake SQL queries using the QUERY_HISTORY and ACCESS_HISTORY views in ACCOUNT_USAGE. Identifies expensive scans, recommends clustering keys, and monitors warehouse credit consumption via WAREHOUSE_METERING_HISTORY."
verification: "security_reviewed"
source: "https://pypi.org/project/snowflake-connector-python/"
category:
  - "Data Extraction & Transformation"
framework:
  - "OpenClaw"
---

# Snowflake Query Optimizer Agent

Analyzes and optimizes Snowflake SQL queries using the QUERY_HISTORY and ACCESS_HISTORY views in ACCOUNT_USAGE. Identifies expensive scans, recommends clustering keys, and monitors warehouse credit consumption via WAREHOUSE_METERING_HISTORY.

## Installation

Choose whichever fits your setup:

1. Copy this skill folder into your local skills directory.
2. Clone the repo and symlink or copy the skill into your agent workspace.
3. Add the repo as a git submodule if you manage shared skills centrally.
4. Install it through your internal provisioning or packaging workflow.
5. Download the folder directly from GitHub and place it in your skills collection.

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/snowflake-query-optimizer-agent/)
