Compute concise table statistics for data quality checks via CLI.
npx skills add https://github.com/starlake-ai/starlake --skill summarize-starlake-ai
Please help me install this Agent Skill. Skill: summarize Source: https://github.com/starlake-ai/starlake/tree/main/.agent/skills/summarize Command: npx skills add https://github.com/starlake-ai/starlake --skill summarize-starlake-ai
Summarize a table by computing its concise, informative statistics to aid quick data understanding and quality checks.
Run the summarize command with domain and table to obtain a summary for the specified dataset.
High-intent search queries and answers about installing and using this skill.
You can generate table statistics by running the summarize command with your specified domain and table to instantly compute key metrics like count, min, max, mean, and nulls for data quality checks.
A quick data quality check involves computing concise, informative statistics for your table to identify nulls, counts, and ranges. This instantly surfaces data health issues without requiring complex manual queries.
Yes, a configured Starlake environment and access to the target table are required. The summarize command operates via the CLI within this environment to compute basic statistics for data validation and reporting.
Yes, the summarize command computes key statistics including count, min, max, mean, and nulls, making it useful for data validation, reporting, and quick health checks on datasets for dashboard integration.
A table summary includes key statistics such as count, min, max, mean, and null values. These concise metrics provide an informative overview of the dataset's contents for data validation and reporting.
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