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.
Install
npx skills add oracle-samples/oracle-aidp-samples --skill aidp-profiling-tablesnpx skills add oracle-samples/oracle-aidp-samples --skill aidp-profiling-tables -a claude-code -gnpx skills add oracle-samples/oracle-aidp-samples --skill aidp-profiling-tables -a codex -ggemini skills install https://github.com/oracle-samples/oracle-aidp-samples.git --path ai/claude-code-plugins/oracle-ai-data-platform-workbench-engineer-agent/skills/aidp-profiling-tablesgh skill install oracle-samples/oracle-aidp-samples aidp-profiling-tablesgit clone --depth 1 https://github.com/oracle-samples/oracle-aidp-samples /tmp/oracle-samples__oracle-aidp-samples
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/oracle-samples__oracle-aidp-samples/ai/claude-code-plugins/oracle-ai-data-platform-workbench-engineer-agent/skills/aidp-profiling-tables ~/.claude/skills/aidp-profiling-tables # Claude Code
cp -R /tmp/oracle-samples__oracle-aidp-samples/ai/claude-code-plugins/oracle-ai-data-platform-workbench-engineer-agent/skills/aidp-profiling-tables ~/.agents/skills/aidp-profiling-tables # Codex, Cursor, Gemini CLI, Copilot, OpenCode