Run LLM functions inside Spark SQL on AIDP via ai_generate(). Use when the user wants to summarize/classify/extract/enrich rows with an LLM directly in SQL, generate narratives over aggregated results, or do grounded RAG-style analysis in the lakehouse. Signature is model-first; available models must be confirmed live before relying on it.
How to install aidp-ai-sql?
ahmedawan-oracle/claude-code-plugins/aidp-ai-sql
$npx -y skills add ahmedawan-oracle/claude-code-plugins --skill aidp-ai-sqlInstalls 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-ai-sql"` 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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