brunocampos01/ai/skool-rag

Trust tier 3
  • community
Source check pending

Checking that the SKILL.md file is still in the repository.

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.

Install

npx vskill@latest install brunocampos01/ai/skool-rag

SKILL.md

The same SKILL.md was published earlier as mhassan0000/skills/skool-rag.

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

Scrapes and chunks community content.

2. Index in Pinecone
bash
python3 ./scripts/skool_rag_index.py --input .tmp/skool_chunks.json

Creates OpenAI embeddings and stores in Pinecone.

3. Query
bash
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

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

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Quality evaluation

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Source

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Works with

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