Snowflake-Labs/sf-hcls-solutions
Python
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source ↗Snowflake-Labs/sf-hcls-solutions
Description: Snowflake Healthcare & Life Sciences Solutions
Language: Python
License: Apache-2.0
Stars: 0
Forks: 0
Open issues: 0
Created: 2026-06-22T21:59:02Z
Pushed: 2026-07-14T14:50:08Z
Default branch: main
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README:
Snowflake HCLS Industry Solutions
HCLS: Healthcare & Life Sciences
End-to-end solution accelerators for the Healthcare & Life Sciences industry vertical, built on Snowflake and Cortex Code, showcasing Cortex AI, Snowflake ML, and the modern data platform.
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Solution Catalog
| # | Solution | Industry | Directory | Key Snowflake Features | Status | |---|----------|----------|-----------|----------------------|--------| | 1 | Clinical Quality and Patient Safety Agent | Healthcare | solutions/clinical-quality-agent/ | Snowflake Intelligence, Cortex Agent, Cortex Analyst, Cortex Search (PubMed), Semantic Model | ✅ Done | | 2 | Medical Device Streaming Platform | Healthcare | solutions/medical-device-streaming/ | Snowpipe Streaming (High-Performance), PIPE Objects, ASOF Joins, VARIANT Data, Flattened Views | ✅ Done |
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Quick Install (via Cortex Code)
Install any solution using the Cortex Code plugin:
# Permanent install (copies plugin to cache — survives restarts) # TBA: Public install (available after repo goes public) cortex plugin install "Snowflake-Labs/sf-hcls-solutions/plugins/cortex-code" # Or load locally during development (reads directly from disk, always up-to-date) git clone git@github.com:Snowflake-Labs/sf-hcls-solutions.git cd sf-hcls-solutions cortex --plugin-dir ./plugins/cortex-code
> Note: cortex plugin install copies the plugin into a local cache. If you add new skills later, you must cortex plugin uninstall sf-hcls-solutions && cortex plugin install ... to refresh. During development, use --plugin-dir instead — it always reads the latest files from disk without caching.
Then in a Cortex Code session, run a solution by name:
$sf-hcls-solutions:
Example:
$sf-hcls-solutions:clinical-quality-agent $sf-hcls-solutions:clinical-quality-agent teardown
Quick Install (via Claude Code)
# TBA: Public install (available after repo goes public) # Add the marketplace # claude plugin marketplace add https://github.com/Snowflake-Labs/sf-hcls-solutions.git --path plugins/claude-code # Or load locally during development claude --plugin-dir ./plugins/claude-code
Then in a Claude Code session, run a solution by name:
/sf-hcls-solutions:clinical-quality-agent
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Getting Started
Each solution is self-contained in its own directory with:
solutions// ├── README.md # Overview, architecture, prerequisites ├── manifest.json # Solution metadata for the installer ├── scripts/ # SQL setup and teardown scripts └── data/ # Sample data generation scripts (if applicable)
Prerequisites
- Snowflake account (Enterprise edition recommended)
- Appropriate role with CREATE DATABASE / SCHEMA privileges
- Warehouse (default:
COMPUTE_WH)
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Developers for Plugin
If you're contributing new solutions to this repository, use the add-solution skill to convert existing repos into the standard plugin format.
Setup
Clone the repo and run Cortex Code from within it:
git clone https://github.com/Snowflake-Labs/sf-hcls-solutions.git cd sf-hcls-solutions cortex
Convert an Existing Solution
In the Cortex Code session, invoke the add-solution skill with the path to the source repo:
$add-solution ../my-existing-solution-repo
This will: 1. Analyze the source repo (detect SQL-only, Python-only, or hybrid) 2. Extract all DDL into scripts/setup.sql and scripts/teardown.sql 3. Generate manifest.json and README.md 4. Create plugin skills for both Cortex Code and Claude Code 5. Audit for credentials and Snowflake internal info 6. Validate with linters (sqruff, ruff, markdownlint)
Available Developer Skills
| Skill | Invocation | Purpose | |-------|-----------|---------| | add-solution | $add-solution | Convert an existing repo into plugin format | | list | $sf-hcls-solutions:list | List all registered solutions |
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Related Resources
Web Pages
- Snowflake ML - Integrated set of capabilities for development, MLOps and inference leading with agentic ML
- Snowflake Notebooks - Jupyter-based notebooks in Snowflake Workspaces
- Cortex Code - Snowflake's AI native coding agent that boosts ML productivity
Technical Documentation
- Cortex Code Documentation - Getting started with Cortex Code
- Cortex Code in Snowsight - Browser-based experience
- Cortex Code CLI - Command-line experience
- Snowflake ML Documentation - Official Snowflake ML developer guide
- Snowflake ML Quickstart - Hands-on guides to get started with Snowflake ML