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.
86
81%
Does it follow best practices?
Impact
93%
1.75xAverage score across 3 eval scenarios
Passed
No known issues
Quality
Discovery
100%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is an excellent skill description that clearly defines a specific niche (Snowflake semantic views via CLI), lists concrete actions, includes natural trigger terms, and provides explicit 'Use when' guidance. It is well-structured, concise, and would allow Claude to confidently select this skill from a large pool without ambiguity.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: create, alter, validate semantic views, validate DDL against Snowflake via CLI, and guide CLI installation and connection setup. | 3 / 3 |
Completeness | Clearly answers both what (create, alter, validate Snowflake semantic views using Snowflake CLI) and when (explicit 'Use when...' clause covering building, troubleshooting, validating DDL, and CLI installation/setup scenarios). | 3 / 3 |
Trigger Term Quality | Includes strong natural keywords users would say: 'Snowflake', 'semantic views', 'semantic layer', 'CREATE SEMANTIC VIEW', 'ALTER SEMANTIC VIEW', 'Snowflake CLI', 'snow', 'DDL', 'validate', 'connection setup'. Good coverage of both natural language and technical terms users would actually use. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive niche combining Snowflake semantic views specifically with Snowflake CLI tooling. Unlikely to conflict with general SQL skills, other database skills, or generic Snowflake skills due to the specific focus on semantic views and CLI validation. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
62%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill provides a well-structured, clearly sequenced workflow with strong validation patterns and error recovery loops, which is its primary strength. However, it suffers from some redundancy (synonyms/comments guidance repeated), relies heavily on external Snowflake documentation links for core DDL syntax rather than providing inline examples, and could be more concise by eliminating restated points across sections.
Suggestions
Add a complete, executable CREATE SEMANTIC VIEW DDL example inline (not just a link to docs) so Claude has a concrete template to work from without needing to fetch external pages.
Consolidate the synonyms/comments guidance into a single location—either the workflow step or the dedicated section—to eliminate redundancy and save tokens.
Remove the 'Notes' section or merge its points into the relevant workflow steps, as all three notes restate information already covered above.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is mostly efficient but has some redundancy—synonyms/comments guidance is repeated across the workflow section and the dedicated 'Synonyms And Comments' section. The 'Notes' section also restates points already made. Some trimming would improve token efficiency. | 2 / 3 |
Actionability | Provides a concrete CLI template and a sample semantic view query, but the core DDL creation step relies on external documentation links rather than providing executable DDL examples. The workflow gives clear direction but lacks a complete, copy-paste-ready CREATE SEMANTIC VIEW example. | 2 / 3 |
Workflow Clarity | The 11-step workflow is clearly sequenced with explicit validation checkpoints (steps 7-8), a feedback loop for error recovery, temporary naming for safe validation, cleanup of temporary artifacts, and a final confirmation query. This is a strong workflow with proper guardrails. | 3 / 3 |
Progressive Disclosure | The content is well-structured with clear sections and external documentation links, but with no bundle files, all content is inline in a single file. The synonyms/comments section could be a separate reference file, and the DDL syntax reference is delegated entirely to external Snowflake docs rather than providing a local quick-reference. | 2 / 3 |
Total | 9 / 12 Passed |
Validation
100%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
- Repository
- github/awesome-copilot
- Commit
90921cc
- Reviewed
Table of Contents
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