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Found 5 Skills
Convert natural language queries to SQL. Use for database queries, data analysis, and reporting.
Toolkit-first AIClient patterns for generation, text-to-sql, and response parsing.
Build AI that answers questions about your database. Use when you need text-to-SQL, natural language database queries, a data assistant for non-technical users, AI-powered analytics, plain English database search, or a chatbot that talks to your database. Covers DSPy pipelines for schema understanding, SQL generation, validation, and result interpretation.
Core skill for working with IBM i systems through the ibmi CLI. Covers text-to-SQL methodology, Db2 for i conventions, schema discovery, multi-system configuration, and — critically — agent scripting patterns (automatic JSON-when-piped, semantic exit codes, NDJSON streaming, dry-run planning, watch mode, multi-system workflows). Use this skill as the foundation for ANY IBM i task: running queries, exploring the database, configuring systems, writing bash/agent scripts that target IBM i, or composing pipelines that need structured output and reliable error handling.
Use SqlClient for raw SQL against mapped dataset aliases and parse columnar SQL responses safely.