read-queries

Catalog Teradata SQL queries by folder with type, tables, functions, and complexity.

Updated Feb 2, 2026

Search Tags:#catalog #metadata #sql #pipeline #data-analysis #read-queries #teradata

Ready to run

npx skills add https://github.com/nbuzzano/agentix-poc --skill read-queries

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: read-queries
Source: https://github.com/nbuzzano/agentix-poc/tree/main/src/skills/read-queries
Command: npx skills add https://github.com/nbuzzano/agentix-poc --skill read-queries

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps data teams quickly discover and catalog Teradata SQL queries from a directory, extracting types, involved tables, and Teradata-specific features to prepare data for downstream validation and translation pipelines.

Core Features & Use Cases

Scans the input directory and all subfolders for SQL-like files (.sql, .txt)
Extracts query type, involved tables, Teradata-specific functions, and a complexity estimate
Groups queries by their containing folder to preserve project structure and enable targeted reviews

Quick Start

Scan the input directory to automatically discover SQL files and generate per-file metadata.

Frequently Asked Questions about read-queries

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I catalog Teradata SQL queries with metadata from a directory?▼

To catalog Teradata SQL queries, you scan an input directory to extract metadata like query type, involved tables, Teradata-specific functions, and complexity scores. Results are grouped by folder to preserve project structure for targeted reviews.

What metadata is extracted when parsing Teradata SQL files?▼

Parsing Teradata SQL files extracts query type, involved tables, Teradata-specific functions, and a basic complexity estimate. The output is a structured JSON-friendly payload containing file path, query type, tables, functions, complexity, and a query preview.

Can I scan subfolders to discover SQL files for data pipeline analysis?▼

Yes, you can scan the input directory and all subfolders to automatically discover SQL-like files. The tool processes files with extensions like .sql and .txt to extract metadata for downstream validation and translation pipelines.

Does this tool identify Teradata-specific functions in SQL queries?▼

Yes, identifying Teradata-specific functions within SQL queries is a core feature. It scans query files to detect these functions and includes them in the structured metadata output alongside query types and involved tables.

What is the best way to prepare Teradata SQL queries for translation pipelines?▼

The best way to prepare Teradata SQL queries for translation pipelines is to extract and catalog metadata from source directories. Grouping queries by folder and generating a structured JSON payload enables targeted validation and translation.

Are there limitations on file types when extracting metadata from SQL directories?▼

Yes, metadata extraction is limited to SQL-like files, specifically targeting .sql and .txt extensions within the input directory and its subfolders. Other file types are not processed during the cataloging operation.