Spark performance suggestions over already-generated notebooks via `infa2aidp cli optimize`, with an optional --auto-apply for the subset of suggestions safe to apply mechanically. Use after infa-migrate-mapping to check for Spark anti-patterns in the generated code — this is a code-quality pass, not a correctness check (that's infa-reconcile) and not a cluster-execution check (nothing here…
安装
npx skills add oracle-samples/oracle-aidp-samples --skill infa-optimizenpx skills add oracle-samples/oracle-aidp-samples --skill infa-optimize -a claude-code -gnpx skills add oracle-samples/oracle-aidp-samples --skill infa-optimize -a codex -ggemini skills install https://github.com/oracle-samples/oracle-aidp-samples.git --path ai/claude-code-plugins/oracle-ai-data-platform-workbench-informatica-migrator/skills/infa-optimizegh skill install oracle-samples/oracle-aidp-samples infa-optimizegit 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-informatica-migrator/skills/infa-optimize ~/.claude/skills/infa-optimize # Claude Code
cp -R /tmp/oracle-samples__oracle-aidp-samples/ai/claude-code-plugins/oracle-ai-data-platform-workbench-informatica-migrator/skills/infa-optimize ~/.agents/skills/infa-optimize # Codex, Cursor, Gemini CLI, Copilot, OpenCode