Agent skill

snowflake-semanticview

Create, alter, and validate Snowflake semantic views using Snowflake CLI (snow). Use when asked to build or troubleshoot semantic views/semantic layer definitions with CREATE/ALTER SEMANTIC VIEW, to validate semantic-view DDL against Snowflake via CLI, or to guide Snowflake CLI installation and connection setup.

GitHub68,948★ · +463/wk · 2 repos on radarProfile →
copilotMIT
Install
npx skills add github/awesome-copilot --skill snowflake-semanticview --agent copilot

Same command for any agent — swap --agent for claude-code, codex, cursor.

Facts
Files in the skill folder: 1
SKILL.md size: 4 KB
Bundled scripts: none
Path: skills/snowflake-semanticview/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 37,432 · +281 this week
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Snowflake Semantic Views ## One-Time Setup - Verify Snowflake CLI installation by opening a new terminal and running `snow --help`. - If Snowflake CLI is missing or the user cannot install it, direct them to https://docs.snowflake.com/en/developer-guide/snowflake-cli/installation/installation. - Configure a Snowflake connection with `snow connection add` per https://docs.snowflake.com/en/developer-guide/snowflake-cli/connecting/configure-connections#add-a-connection. - Use the configured connection for all validation and execution steps. ## Workflow For Each Semantic View Request 1. Confirm the target database, schema, role, warehouse, and final semantic view name. 2. Confirm the model follows a star schema (facts with conformed dimensions). 3. Draft the semantic view DDL using the official syntax: - https://docs.snowflake.com/en/sql-reference/sql/create-semantic-view 4. Populate synonyms and comments for each dimension, fact, and metric: - Read Snowflake table/view/column comments first (preferred source): - https://docs.snowflake.com/en/sql-reference/sql/comment - If comments or synonyms are missing, ask whether you can create them, whether the user wants to provide text, or wh

What's inside
Steps it walks through
  1. One-Time Setup
  2. Workflow For Each Semantic View Request
  3. Synonyms And Comments (Required)
  4. Validation Pattern (Required)
  5. Example CLI Validation (Template)
  6. Notes
Commands it runs
Replace placeholders with real values.
snow sql -q "<CREATE OR ALTER SEMANTIC VIEW ...>" --connection <connection_name>
snow sql --help
More from awesome-copilot
All skills →
About this skill
What does the snowflake-semanticview skill do?

Create, alter, and validate Snowflake semantic views using Snowflake CLI (snow). Use when asked to build or troubleshoot semantic views/semantic layer definitions with CREATE/ALTER SEMANTIC VIEW, to validate semantic-view DDL against Snowflake via CLI, or to guide Snowflake CLI installation and connection setup.

How do I install it?

Run `npx skills add github/awesome-copilot --skill snowflake-semanticview --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From github/awesome-copilot, a repository with 37,432 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going