analyst-queries

Generate parameterized SQL queries for Braze Snowflake data analysis.

Updated Apr 6, 2026

Search Tags:#sql #variables #ai-assisted #segments #query-builder #analyst #braze

Ready to run

npx skills add https://github.com/delta-and-beta/braze-agency --skill analyst-queries

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: analyst-queries
Source: https://github.com/delta-and-beta/braze-agency/tree/main/skills/analyst-queries
Command: npx skills add https://github.com/delta-and-beta/braze-agency --skill analyst-queries

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill automates the creation of parameterized Braze analytics queries, reducing manual SQL effort and empowering analysts with AI-assisted generation to quickly derive actionable insights from Braze data.

Core Features & Use Cases

Parameterize queries with Liquid-style SQL variables to produce reusable reports across campaigns and time ranges
Generate AI-assisted SQL queries and segment extensions to accelerate analytic workflows
Build and reuse query templates that align with Braze's data structures for analysts and data scientists

Quick Start

Describe your data needs and Braze AI will generate a reusable SQL query against the Braze dataset.

Frequently Asked Questions about analyst-queries

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I generate AI-assisted SQL queries for Braze Snowflake data?▼

To generate AI-assisted SQL queries for Braze Snowflake data, describe your data needs and the tool composes parameterized queries aligned with the Braze data model for segment analysis and campaign performance.

Can I use Liquid-style variables in Braze SQL query templates?▼

Yes, you can use Liquid-style SQL variables to parameterize queries, enabling you to build and reuse query templates across different campaigns and time ranges within your Braze analytics workflow.

What is the best way to explore segment extensions and event data in Braze?▼

The best way to explore Braze segments and events is using a query-builder workflow that validates SQL against the Braze data model, extracting actionable insights through AI-assisted generation.

Do I need to know the Braze data model to create Snowflake analytics queries?▼

You do not need deep knowledge of the Braze data model to create Snowflake analytics queries, as the AI-assisted tool validates and aligns generated SQL with Braze data structures automatically.

How do I build reusable SQL reports for Braze campaign performance?▼

You build reusable SQL reports for Braze campaign performance by applying parameterized query templates with Liquid-style variables, ensuring validation and reuse across varying time ranges and segments.