data-context-extractor

Name: data-context-extractor
Availability: InStock
Author: Bauhaus-InfAU

Generate and refine data analysis skills by extracting analyst knowledge.

Updated Feb 12, 2026

Search Tags:#documentation #skill generation #data analysis #sql #data warehouse #knowledge extraction

Ready to run

npx skills add https://github.com/Bauhaus-InfAU/infau-skill-base --skill data-context-extractor-bauhaus-infau

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: data-context-extractor
Source: https://github.com/Bauhaus-InfAU/infau-skill-base/tree/main/data/skills/data-context-extractor
Command: npx skills add https://github.com/Bauhaus-InfAU/infau-skill-base --skill data-context-extractor-bauhaus-infau

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the creation and refinement of custom data analysis skills by extracting essential company-specific knowledge directly from data analysts.

Core Features & Use Cases

Skill Generation: Creates new, tailored data analysis skills from scratch by discovering schemas and asking targeted questions.
Knowledge Augmentation: Improves existing skills by adding domain-specific context, metrics, and terminology.
Use Case: A new analyst joins your team and needs to query your company's data warehouse. Use this Skill to generate a comprehensive data analysis skill that includes all relevant tables, metrics, and common pitfalls, enabling them to become productive quickly.

Quick Start

Use the data-context-extractor skill to create a new data context skill for our warehouse.

Frequently Asked Questions about data-context-extractor

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

FAQPage Schema

How do I extract tribal knowledge from data analysts for SQL warehouse documentation?▼

To extract tribal knowledge for SQL warehouse documentation, this Skill systematically discovers schemas and asks targeted questions about entities, metrics, and data hygiene. It then generates structured reference files capturing essential company-specific context.

Can I generate custom data analysis skills from scratch for a new analyst?▼

Yes, you can generate custom data analysis skills from scratch for new analysts. The bootstrap mode discovers your schema, asks key questions about metrics and terminology, and creates a tailored skill to accelerate onboarding productivity.

What is the best way to document data warehouse context for AI analysis?▼

The best way to document data warehouse context for AI analysis is to systematically capture schema details, metrics, and common pitfalls into structured reference files. This ensures AI tools understand domain-specific terminology and data hygiene rules.

How do I add new domain context to an existing data analysis skill?▼

You add new domain context to an existing data analysis skill using iteration mode. This feature enhances your current skills by asking targeted questions and appending new entities, metrics, and terminology to the structured reference files.

Does this skill generation tool support discovering schemas automatically?▼

Yes, this skill generation tool supports discovering schemas automatically. During the bootstrap process, it systematically inspects your data warehouse to identify tables and structures before prompting analysts for contextual details.

When should I not use automated knowledge extraction for data analysis documentation?▼

You should not use automated knowledge extraction when your data warehouse schema is incomplete or your analysts lack defined metrics and data hygiene rules. The tool relies on existing tribal knowledge to generate accurate structured reference files.