rag

Query the econometrics RAG knowledge base to retrieve relevant document chunks.

6|1|Updated Dec 4, 2025
One-click install
npx skills add https://github.com/rukikotoo/AutoRegMonkey --skill rag
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: rag
Source: https://github.com/rukikotoo/AutoRegMonkey/tree/main/.claude/skills/rag
Command: npx skills add https://github.com/rukikotoo/AutoRegMonkey --skill rag

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Sifting through dense econometrics textbooks for specific definitions or theories is time-consuming and can interrupt your analytical flow. This Skill provides an intelligent search interface to a specialized knowledge base, delivering precise answers when you need them, so "AI works, you rest."

Core Features & Use Cases

  • Intelligent Knowledge Retrieval: Query Bruce Hansen's Econometrics textbook using natural language.
  • Contextual Answers: Get relevant document chunks and page references for deeper understanding.
  • LLM Integration: Provides rich context to the AI for more informed econometric analysis.
  • Use Case: You're unsure about the assumptions of OLS regression. Ask the AI using this skill, and it will instantly retrieve the relevant sections from the textbook, saving you research time and ensuring accuracy.

Quick Start

Use the rag skill to find information on 'what is heteroskedasticity?'

Frequently Asked Questions about rag

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

FAQPage Schema
How do I search econometrics knowledge using natural language queries?

Natural language search retrieves relevant document chunks from Bruce Hansen's Econometrics textbook stored in a FAISS index. Prefix your query with 'rag:' to retrieve up to five matching sections with sources and excerpts for immediate use in analysis.

What econometrics topics can I look up with this knowledge base?

The knowledge base covers econometrics concepts from Hansen's textbook, including OLS regression assumptions, heteroskedasticity, and other foundational econometric theory. Query any topic to retrieve relevant definitions, assumptions, and theoretical explanations.

Can I use this skill to provide context to an AI for econometric analysis?

Yes. The skill retrieves structured document chunks and page references that supply rich contextual information to language models, enabling more informed econometric reasoning and analysis with accurate textbook grounding.

What do I need to set up before querying the econometrics knowledge base?

Configure UTF-8 I/O, ensure Python runtime access to the FAISS index at D:/AutoRegMonkey/database/rag_db/, and use the EconometricsRAG interface to execute queries and receive structured results.

Does this skill work offline or require internet connectivity?

The skill operates offline by querying a local FAISS index stored on disk. No internet connection is required; the knowledge base and retrieval system run entirely on your local machine with the specified directory access.