End-to-end Snowpipe Streaming HPA + AI demo for webinars. Sets up Snowpipe Streaming high-performance architecture (HPA) with background data generation, deploys a live Streamlit dashboard, then layers on a Semantic View and Cortex Agent so the presenter can do natural-language queries on live-streaming data in Snowsight. Triggers: snowpipe streaming ai webinar, snowpipe streaming webinar demo, snowpipe streaming ai demo, streaming ai demo, snowpipe streaming webinar, snowpipe streaming cortex agent demo, snowpipe streaming semantic view demo.
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Does it follow best practices?
Impact
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No eval scenarios have been run
Risky
Do not use without reviewing
Quality
Discovery
N/ABased on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
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Implementation
N/AReviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
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Validation
90%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 10 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
skill_md_line_count | SKILL.md is long (800 lines); consider splitting into references/ and linking | Warning |
Total | 10 / 11 Passed | |
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Table of Contents
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