PL/SQL development for AI agents on Oracle Database - expert queries, impact analysis, and a snapshot-verified write path with honest rollback
Oracle's MCP gives your agent a connection. pythia gives it the judgment to use it.
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An Agent Skills + CLI kit for developing PL/SQL on Oracle Database with AI coding agents (Claude Code, Codex, Cursor — any of the 76 agents npx skills supports).
pythia is a harness: a book of working rules an agent studies and follows when it sits next to a developer. Not a chatbot, not an autopilot — a disciplined assistant with three properties a good one has: knowledge (it asks the live schema, never its memory of one), judgment (it measures before it proposes), and obedience to rules it can recite (gates it will quote back to you rather than quietly skip).
Why ask the database instead of reading dumps
A real mid-size system, repo export vs live database, audited in 2026:
Object type In the dump In the database Verdict ------------ Procedures 3,827 3,827 matched Tables 952 952 matched Types 0 115 all missing Packages 0 9 all missing Indexes 116 1,016 ~89% missing
Code that "reads fine" against the dump references types and packages the dump never heard of. Every pythia command asks the live data dictionary instead — and every truncated output says so, so an agent never mistakes a partial answer for a full one.
Give the agent a problem — "add a column and every procedure that maintains it", "why does this report double rows", "port this fix" — and the kit walks it through the same three movements a careful senior developer makes.
From the project README.
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