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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.

Install with Tessl CLI

npx tessl i github:github/awesome-copilot --skill snowflake-semanticview
What are skills?

80

Does it follow best practices?

Validation for skill structure

SKILL.md
Review
Evals

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 a well-crafted skill description that excels across all dimensions. It provides specific concrete actions, includes natural trigger terms users would actually use, explicitly states both what the skill does and when to use it, and carves out a distinct niche that won't conflict with other database or SQL skills.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions: 'Create, alter, and validate Snowflake semantic views', 'validate semantic-view DDL against Snowflake via CLI', and 'guide Snowflake CLI installation and connection setup'.

3 / 3

Completeness

Clearly answers both what ('Create, alter, and validate Snowflake semantic views using Snowflake CLI') and when ('Use when asked to build or troubleshoot semantic views...') with explicit trigger scenarios including DDL validation and CLI setup guidance.

3 / 3

Trigger Term Quality

Includes strong natural keywords users would say: 'Snowflake', 'semantic views', 'semantic layer', 'CREATE/ALTER SEMANTIC VIEW', 'DDL', 'Snowflake CLI', 'snow', 'connection setup'. Good coverage of both technical terms and common variations.

3 / 3

Distinctiveness Conflict Risk

Highly specific niche targeting Snowflake semantic views specifically, with distinct triggers like 'SEMANTIC VIEW', 'snow' CLI, and 'semantic layer definitions'. Unlikely to conflict with general SQL or other database skills.

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 solid workflow structure with good validation practices and clear sequencing for semantic view creation. However, it leans too heavily on external documentation links rather than providing inline executable examples, and has some redundancy between sections. The actionability would improve significantly with complete DDL examples rather than just syntax references.

Suggestions

Include a complete, executable CREATE SEMANTIC VIEW DDL example with all required elements (dimensions, facts, metrics, synonyms, comments) rather than just linking to documentation

Remove the redundant 'Synonyms And Comments' and 'Validation Pattern' sections by consolidating their content into the main workflow steps

Add a concrete example of the `snow sql` command with actual DDL rather than just placeholders to make the validation step copy-paste ready

DimensionReasoningScore

Conciseness

The content is reasonably efficient but includes some redundancy (synonyms/comments section repeats workflow step 4, validation pattern restates what's in the workflow). Some explanatory text could be trimmed.

2 / 3

Actionability

Provides concrete CLI commands and SQL examples, but relies heavily on external documentation links rather than inline executable code. The DDL syntax itself is not shown - only references to docs. The validation template uses placeholders rather than a complete example.

2 / 3

Workflow Clarity

Excellent multi-step workflow with clear sequencing (11 numbered steps), explicit validation checkpoint (step 7-8), iteration loop for failures, and cleanup step. The validate-then-apply pattern with temporary names is well-defined.

3 / 3

Progressive Disclosure

Content is reasonably organized with clear sections, but external references are all to Snowflake docs rather than companion skill files. Some content is duplicated between sections (synonyms/comments appears twice). Could benefit from separating setup into a referenced file.

2 / 3

Total

9

/

12

Passed

Validation

81%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation13 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata' field is not a dictionary

Warning

license_field

'license' field is missing

Warning

body_output_format

No obvious output/return/format terms detected; consider specifying expected outputs

Warning

Total

13

/

16

Passed

Reviewed

Table of Contents

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