semiconductor_rag

Analyze semiconductor and AI infrastructure market trends and strategic considerations.

Updated May 22, 2026
One-click install
npx skills add https://github.com/vup903/personal-rag --skill semiconductor-rag
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: semiconductor_rag
Source: https://github.com/vup903/personal-rag/tree/main
Command: npx skills add https://github.com/vup903/personal-rag --skill semiconductor-rag

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires chromadb, litellm, numpy, pymupdf, python-dotenv, sentence-transformers, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides in-depth analysis and information about the semiconductor and AI infrastructure industries, helping users understand market trends, technological advancements, and strategic considerations.

Core Features & Use Cases

  • Comprehensive Knowledge Base: Offers a detailed knowledge base on semiconductor and AI infrastructure topics, including manufacturing processes, supply chain dynamics, and market trends.
  • Interactive Query: Allows users to interactively ask questions and receive synthesized answers based on the knowledge base.
  • Global Insights: Provides global perspectives on the industry, including geopolitical risks and international trade policies.

Quick Start

Ask: "What are the key trends in the semiconductor industry for 2025?"

Or: "How do geopolitical risks affect the AI infrastructure supply chain?"

Frequently Asked Questions about semiconductor_rag

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze semiconductor market trends using a custom knowledge base?

To analyze semiconductor market trends, this Skill uses a custom knowledge base built with ChromaDB and sentence-transformers to provide synthesized answers on manufacturing processes and supply chain dynamics from ingested documents.

What is the best way to understand geopolitical risks affecting AI infrastructure?

Understanding geopolitical risks to AI infrastructure is achieved by querying this Skill's knowledge base, which provides global perspectives on international trade policies and supply chain dynamics.

Can I use my own PDF documents for semiconductor industry analysis?

Yes, you can use your own PDF documents for semiconductor industry analysis. The Skill depends on PyMuPDF to process PDF files, allowing you to build a custom vector database for querying advanced node manufacturing topics.

Does this Skill require LiteLLM to process industry analysis queries?

Yes, this Skill requires LiteLLM to process industry analysis queries. LiteLLM handles the language model interactions needed to synthesize retrieved context from the vector database into coherent answers about market trends.

How do I update the knowledge base with new semiconductor market data?

To update the knowledge base with new semiconductor market data, you run the data_update.py script. This script processes new documents and stores them as vector embeddings in ChromaDB for subsequent querying.

What are the limitations of using ChromaDB for AI infrastructure supply chain analysis?

A limitation of using ChromaDB for AI infrastructure supply chain analysis is that query quality depends entirely on ingested documents. The Skill only synthesizes information from its local vector database without accessing real-time market data.