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snowflake-semanticview
by webmaxru
⭐ 1🍴 9📅 2026年1月15日
SKILL.md
name: snowflake-semanticview description: 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.
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 addper 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
- Confirm the target database, schema, role, warehouse, and final semantic view name.
- Confirm the model follows a star schema (facts with conformed dimensions).
- Draft the semantic view DDL using the official syntax:
- Populate synonyms and comments for each dimension, fact, and metric:
- Read Snowflake table/view/column comments first (preferred source):
- If comments or synonyms are missing, ask whether you can create them, whether the user wants to provide text, or whether you should draft suggestions for approval.
- Create a temporary validation name (for example, append
__tmp_validate) while keeping the same database and schema. - Always validate by sending the DDL to Snowflake via Snowflake CLI before finalizing:
- Use
snow sqlto execute the statement with the configured connection. - If flags differ by version, check
snow sql --helpand use the connection option shown there.
- Use
- If validation fails, iterate on the DDL and re-run the validation step until it succeeds.
- Apply the final DDL (create or alter) using the real semantic view name.
- Clean up any temporary semantic view created during validation.
Synonyms And Comments (Required)
- Use the semantic view syntax for synonyms and comments:
WITH SYNONYMS [ = ] ( 'synonym' [ , ... ] )
COMMENT = 'comment_about_dim_fact_or_metric'
- Treat synonyms as informational only; do not use them to reference dimensions, facts, or metrics elsewhere.
- Use Snowflake comments as the preferred and first source for synonyms and comments:
- If Snowflake comments are missing, ask whether you can create them, whether the user wants to provide text, or whether you should draft suggestions for approval.
- Do not invent synonyms or comments without user approval.
Validation Pattern (Required)
- Never skip validation. Always execute the DDL against Snowflake with Snowflake CLI before presenting it as final.
- Prefer a temporary name for validation to avoid clobbering the real view.
Example CLI Validation (Template)
# Replace placeholders with real values.
snow sql -q "<CREATE OR ALTER SEMANTIC VIEW ...>" --connection <connection_name>
If the CLI uses a different connection flag in your version, run:
snow sql --help
Notes
- Treat installation and connection setup as one-time steps, but confirm they are done before the first validation.
- Keep the final semantic view definition identical to the validated temporary definition except for the name.
- Do not omit synonyms or comments; consider them required for completeness even if optional in syntax.
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