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skool-rag

Skill16 starsChanged 9 months agoMITView on GitHub

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.

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3 other projects use a version of this, 3 of them edited.

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MohamedEssam0-0/claude-skillsedited, first seen Oct 11, 2026
phuongdo/claude-skillsedited, first seen Feb 17, 2026
nickjwells/skills-workspaceedited, first seen Feb 1, 2026

Other versions3 projects use a version of this.
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nickjwells/skills-workspace★ 2893% same
MohamedEssam0-0/claude-skills★ 093% same
phuongdo/claude-skills★ 093% same
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How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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SKILL.md

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:

OpenAI embeddings for query
Pinecone vector search
Cohere reranking
Claude response generation

Environment

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

Schema

Inputs

Name	Type	Required	Description
`query`	string	Yes	Natural language question to search for
`community`	string	No	Community slug to index (default: makerschool)

Outputs

Name	Type	Description
`answer`	string	AI-generated answer with source references

Credentials

Name	Source
`PINECONE_API_KEY`	.env
`OPENAI_API_KEY`	.env
`COHERE_API_KEY`	.env
`ANTHROPIC_API_KEY`	.env

Composable With

Skills that chain well with this one: skool-monitor

Cost

Pinecone + OpenAI embeddings + Cohere reranking + Claude

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