aidp-profiling-tables
byahmedawan-oracle· 54 skills
Profile an AIDP table — row count, per-column null %, distinct count, min/max/mean, and top-K values. Use when the user asks to profile a table, wants column statistics or a data-quality snapshot, or needs to understand a dataset's shape before using it. Runs bounded Spark SQL via the bundled aidp_sql.py helper.
How to install aidp-profiling-tables?
ahmedawan-oracle/claude-code-plugins/aidp-profiling-tables
$npx -y skills add ahmedawan-oracle/claude-code-plugins --skill aidp-profiling-tablesInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/ahmedawan-oracle/claude-code-plugins" --skill "ahmedawan-oracle/claude-code-plugins/aidp-profiling-tables"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/ahmedawan-oracle/claude-code-plugins" that are relevant to the current task. Run `npx skills add "https://github.com/ahmedawan-oracle/claude-code-plugins"` and select the relevant skills, then follow their instructions.
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