AgentSkillsCN

skool-rag

使用 RAG 流水线与向量搜索查询 Skool 社区内容。适用于用户要求搜索 Skool 知识、查找社区解答，或查询 Skool 内容时使用。

SKILL.md
--- frontmatter
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

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

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