How do I install the Skool RAG skill?

Run npx skillmds@latest add aiagentwithdhruv/skool-rag-2 in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the Skool RAG skill do?

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. It is listed under DevOps & Infra on SkillMD.

Is Skool RAG safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Skool RAG?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Skool RAG free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Skool RAG?

aiagentwithdhruv (@aiagentwithdhruv) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Skool RAG by aiagentwithdhruv — Agent Skill

Name: Skool RAG
Author: aiagentwithdhruv

File contents

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

Frequently asked questions

Skool RAG