Parse SQL statements into a Concrete Syntax Tree preserving comments and whitespace.
npx skills add https://github.com/mymx2/foreman --skill sql-parser-cst
Please help me install this Agent Skill. Skill: sql-parser-cst Source: https://github.com/mymx2/foreman/tree/main/.qoder/skills.collected/skills/sql-parser-cst Command: npx skills add https://github.com/mymx2/foreman --skill sql-parser-cst
This skill solves the challenge of accurately parsing SQL into a Concrete Syntax Tree (CST) that preserves every detail, including comments, whitespace, and formatting, which standard AST parsers often discard.
Use the sql-parser-cst skill to parse the provided schema.sql file and extract all table names and their corresponding column definitions.
High-intent search queries and answers about installing and using this skill.
To parse SQL while preserving comments and whitespace, you need a Concrete Syntax Tree (CST) parser. A CST maintains full source code fidelity, capturing every detail discarded by standard AST parsers, enabling accurate structural analysis and metadata extraction.
You can extract table and column definitions from DDL schema files without a live database connection by parsing the SQL statements into a Concrete Syntax Tree. This enables automatic metadata extraction directly from the schema file for documentation or migration planning.
Yes, SQL static analysis supports multiple dialects including PostgreSQL, MySQL, and BigQuery. This allows you to parse DDL and DML statements across different database engines to build linters, formatters, or structural transformation tools.
The best way to build a custom SQL linter or formatter is by parsing SQL into a Concrete Syntax Tree. This approach provides high-fidelity static analysis capabilities by preserving the original source code formatting, allowing precise structural transformations and linting rules.
To identify foreign key constraints in a large legacy database schema, parse the DDL into a Concrete Syntax Tree. This allows you to analyze the structural dependencies and generate a relationship graph without needing to connect to a live database.
You need a Concrete Syntax Tree instead of an Abstract Syntax Tree when your SQL parsing requires full source code fidelity. If your task involves building formatters, linters, or structural transformations that must preserve comments and whitespace, a CST is essential.
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