Schemap
Description
Make your database understandable to AI coding agents. Schemap analyzes schemas, detects issues, maps relationships, and generates compact AI-ready context files for Claude Code, Codex, Cursor, and other AI tools.
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
Stop AI Agents From Guessing Your Database.
The Deterministic AI Database Context Compiler for Claude Code, Cursor, Windsurf, Codex, and Copilot.
⚡ The Problem: Why AI Coding Agents Fail at SQL
Modern AI coding agents (Claude Code, Cursor, GitHub Copilot, Codex) struggle with production databases:
- Raw
pg_dumpSQL dumps waste 10,000+ tokens of precious context window. - Cluttered DDL dumps introduce noisy system metadata and lock definitions.
- LLMs hallucinate non-existent foreign keys (e.g. guessing
orders.customer_idwhen the column isorders.user_id), creating broken multi-tableJOINs.
**Schemap solves this.** Schemap is a high-speed CLI compiler that introspects your database, computes an **AI Readiness Score**, and outputs clean, token-optimized context maps (`schemap_database_context.md`, `CLAUDE.md`, `AGENTS.md`).
📊 Benchmarks: Next-Gen AI Models & Multi-Turn Agent Economics
*Measured using OpenAI `tiktoken` (`cl100k_base` / `o200k_base` across Claude Opus 5, GPT-5.6 Terr
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