Snowflake Semanticview
This skill leverages Snowflake Semantic Views to enrich data by adding context and relationships, improving query understanding and insights.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add snowflake-semanticview npx -- -y @trustedskills/snowflake-semanticview
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"snowflake-semanticview": {
"command": "npx",
"args": [
"-y",
"@trustedskills/snowflake-semanticview"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The snowflake-semanticview skill enables AI agents to interact with Snowflake data using natural language queries. It leverages semantic understanding to translate user prompts into SQL or other query formats, making it easier for non-technical users to retrieve and analyze data stored in Snowflake.
When to use it
- When you need to run ad-hoc data analysis on Snowflake without writing complex SQL queries.
- To allow business analysts or stakeholders to ask questions about data in plain language.
- For building conversational interfaces that query Snowflake databases based on user input.
Key capabilities
- Natural language to SQL translation for Snowflake
- Integration with Snowflake's semantic search and metadata
- Support for querying complex datasets using conversational prompts
Example prompts
- "Show me the total sales by region last quarter."
- "What was the average customer rating in 2023?"
- "Find all users who signed up in January and made a purchase."
Tips & gotchas
- Ensure that Snowflake metadata is properly indexed for accurate semantic queries.
- Performance may vary depending on the complexity of the query and the size of the dataset.
Tags
TrustedSkills Verification
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🏢 Official
Published by the company or team that built the technology.