Snowflake Semanticview

Name: Snowflake Semanticview
Author: github

Official

github·vlatest·data·MIT

This skill leverages Snowflake Semantic Views to enrich data by adding context and relationships, improving query understanding and insights.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

Run this in your project

terminal

$ npx skills add github/awesome-copilot --skill snowflake-semanticview -a claude-code

Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

github

Matched to the vendor's own GitHub organisation.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned 28 Sept 2026

This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

Declares what it does: failed
No SKILL.md was found in the skill's directory.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned github/awesome-copilot at 6c4d33b9cf.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit: 6c4d33b9cf
Manifest: skills/snowflake-semanticview/SKILL.md
Scanned: 0 files

This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.

What each check looks for →

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.