data-context-extractor

Name: data-context-extractor
Availability: InStock
Author: lilbom32

Extract data warehouse knowledge into structured skill directories.

Updated Mar 15, 2026

Search Tags:#templates #analytics #data #domain-knowledge #skill-generation #reference-files

Ready to run

npx skills add https://github.com/lilbom32/ketnoitrithuc --skill data-context-extractor-lilbom32

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: data-context-extractor
Source: https://github.com/lilbom32/ketnoitrithuc/tree/main/.claude/skills/data/1.0.0/skills/data-context-extractor
Command: npx skills add https://github.com/lilbom32/ketnoitrithuc --skill data-context-extractor-lilbom32

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Enables teams to convert tacit domain knowledge about their data warehouse into a formal, reusable data-analysis skill that can be refined iteratively.

Core Features & Use Cases

Bootstrap mode to generate a new domain-specific data skill from scratch.
Iteration mode to extend an existing skill with new domain references.
Automates discovery steps, key questions, and generation of references and templates to accelerate analytics enablement.

Quick Start

Bootstrap a new data context skill for your warehouse and begin iterative refinements.

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 domain knowledge from a data warehouse to bootstrap analytics?▼

To extract domain knowledge from a data warehouse and bootstrap analytics, use Bootstrap Mode to capture schemas, key questions, and templates into a structured skill directory from scratch. This formalizes tacit company-wide data warehouse knowledge into a reusable format for reproducible analytics.

What is the best way to turn tacit data warehouse knowledge into reusable analytics templates?▼

Turning tacit data warehouse knowledge into reusable analytics templates involves capturing schemas, reference files, and key questions into a structured skill directory. This formalizes domain-specific data context into actionable analytics, accelerating team enablement and ensuring reproducible analysis.

Can I add new domain references to an existing data analyst skill?▼

You can add new domain references to an existing data analyst skill using Iteration Mode. This mode extends an existing skill by capturing new schemas, key questions, and templates, allowing you to enhance and refine domain-specific data-analyst capabilities iteratively.

How to generate a domain-specific data analyst skill from scratch?▼

To generate a domain-specific data analyst skill from scratch, use Bootstrap Mode to automate the discovery of warehouse schemas, key questions, and reference templates. This process creates a structured skill directory that bootstraps reproducible analytics enablement.

Do I need existing reference files to create a domain-specific data context skill?▼

You do not need existing reference files to create a domain-specific data context skill. Bootstrap Mode automates the discovery steps and generates the necessary references and templates from your data warehouse schemas from scratch to accelerate analytics enablement.