Snowflake-Labs/cortex-code-cookbook

Snowflake-Labs/cortex-code-cookbook

Language: TypeScript

License: Apache-2.0

Stars: 3

Forks: 1

Open issues: 1

Created: 2026-03-25T15:46:38Z

Pushed: 2026-04-27T16:54:24Z

Default branch: main

Fork: no

Archived: no

README:

Cortex Code Cookbook

A collection of cookbook-style recipes for Cortex Code, Snowflake's AI coding assistant CLI.

Directory Structure

cortex-code-cookbook/
├── cookbook/
│ ├── ai/
│ │ ├── cortex-analyst-101/ # Recipe: Natural-language queries with Cortex Analyst
│ │ └── assistant-ui-chat-demo/ # Recipe: Chat UI with assistant-ui + Cortex Code Agent SDK
│ ├── data-engineering/
│ │ └── snowpark-data-pipeline/ # Recipe: Snowpark Python transformation pipeline
│ ├── ml/
│ │ └── forecast-sales/ # Recipe: Sales forecasting with SNOWFLAKE.ML.FORECAST
│ ├── sis/
│ │ └── sis-dashboard-deploy/ # Recipe: Streamlit-in-Snowflake sales dashboard
│ └── analytics/
│ └── advanced-analytics-window-functions/ # Recipe: Window functions for analytics
├── AGENTS.md # Agent notes and lessons learned
├── LICENSE # Apache License 2.0
├── pyproject.toml # Project config, ruff lint rules
└── README.md

Recipes

| Category | Recipe | Description | |---|---|---| | ai | [cortex-analyst-101](cookbook/ai/cortex-analyst-101/) | Natural-language queries against a semantic model with Cortex Analyst | | ai | [assistant-ui-chat-demo](cookbook/ai/assistant-ui-chat-demo/) | Vite + React chat UI using assistant-ui primitives, wired to @snowflake/cortex-code-agent-sdk | | data-engineering | [snowpark-data-pipeline](cookbook/data-engineering/snowpark-data-pipeline/) | Snowpark Python pipeline: ingest, transform, and write curated output tables | | ml | [forecast-sales](cookbook/ml/forecast-sales/) | Forecast monthly sales with SNOWFLAKE.ML.FORECAST using Cortex Code prompts | | sis | [sis-dashboard-deploy](cookbook/sis/sis-dashboard-deploy/) | Deploy a monthly sales dashboard to Snowflake as a Streamlit-in-Snowflake (SiS) app | | analytics | [advanced-analytics-window-functions](cookbook/analytics/advanced-analytics-window-functions/) | Window functions for moving averages, rankings, and period-over-period analysis |

Prerequisites

• Python >= 3.11
• uv for dependency management
• Snowflake CLI installed and configured

Development

# Install dev dependencies
uv sync

# Lint
uv run ruff check .

# Format
uv run ruff format .

License

Apache License 2.0 -- see [LICENSE](LICENSE) for details.