cortex-classify-tutorial
OfficialClassify customer reviews with Snowflake Cortex AI
AuthorSnowflake-Labs
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This tutorial skill removes the friction of turning unstructured customer feedback into actionable recommendation labels by teaching users how to use Snowflake Cortex CLASSIFY_TEXT in both Python (Snowpark) and SQL to produce label and confidence outputs.
Core Features & Use Cases
- Step-by-step instructor: Guided lessons that explain concepts before executing code and pause for confirmation.
- Python and SQL examples: Demonstrates single-string classification, DataFrame column classification, and SQL-based classification and views.
- Practical use case: Classify food truck customer reviews into categories like Likely, Unlikely, and Unsure and analyze distribution for monitoring and routing.
- Robust guidance: Includes task description best practices, category design guidance, troubleshooting, and verification queries.
Quick Start
Ask the agent to "Teach me how to classify customer reviews into Likely, Unlikely, and Unsure using Snowflake Cortex in Python and SQL."
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: cortex-classify-tutorial Download link: https://github.com/Snowflake-Labs/sfguides/archive/main.zip#cortex-classify-tutorial Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 471,000+ vetted skills library on demand.