skool-rag

name	skool-rag
description	Query Skool community content using RAG pipeline with vector search. Use when user asks to search Skool knowledge, find community answers, or query Skool content.
allowed-tools	Bash, Read, Write, Edit, Glob, Grep

Skool RAG Pipeline

Goal

Query Skool community content using a RAG (Retrieval-Augmented Generation) pipeline with vector search and reranking.

Scripts

• ./scripts/skool_rag_prepare.py - Prepare content for indexing
• ./scripts/skool_rag_index.py - Index content in Pinecone
• ./scripts/skool_rag_query.py - Query the knowledge base

Pipeline

1. Prepare Content

python3 ./scripts/skool_rag_prepare.py --community makerschool

Scrapes and chunks community content.

2. Index in Pinecone

python3 ./scripts/skool_rag_index.py --input .tmp/skool_chunks.json

Creates OpenAI embeddings and stores in Pinecone.

3. Query

python3 ./scripts/skool_rag_query.py --query "How do I get my first client?"

Pipeline:

1. OpenAI embeddings for query
2. Pinecone vector search
3. Cohere reranking
4. Claude response generation

Environment

PINECONE_API_KEY=your_key
OPENAI_API_KEY=your_key
COHERE_API_KEY=your_key
ANTHROPIC_API_KEY=your_key