Is it suitable for beginner ML projects?

Yes, it covers fundamental libraries like scikit-learn and provides boilerplate for starting with OpenAI and Claude API integrations.

Can I use this for blockchain security?

Absolutely; it provides patterns for Solidity smart contract auditing and follows security best practices for Web3 development.

How does it help with AI ethics?

The skill incorporates best practices for responsible AI development, including considerations for bias, fairness, and societal impact.

Does this skill support local LLM integration?

Yes, it includes guidance for working with open-source models like Llama and Mistral alongside major APIs like OpenAI and Anthropic.

Does it cover game development?

It provides implementation patterns and logic for major game engines including Unity (C#), Unreal Engine (C++), and Godot (GDScript).

AI & Emerging Technologies

Name: AI & Emerging Technologies
Author: pluginagentmarketplace

bypluginagentmarketplace

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Ciencia de Datos y ML

Builds sophisticated AI-powered applications and blockchain solutions using modern LLMs, machine learning frameworks, and Web3 technologies.

Acerca de

This skill equips Claude with specialized knowledge for architecting and implementing cutting-edge technology stacks, ranging from large language model (LLM) integrations and machine learning pipelines to decentralized blockchain applications. It provides expert guidance on prompt engineering, vector database selection, smart contract development, and game engine logic. Whether you are fine-tuning a model with PyTorch or deploying a secure Solidity contract, this skill ensures implementation follows industry best practices for AI ethics, performance optimization, and robust system architecture.

Características Principales

LLM Integration (OpenAI, Claude, LangChain)
Blockchain & Smart Contract Development (Solidity, Web3.js)
Game Engine Logic (Unity, Unreal Engine, Godot)
Vector Database Implementation (Pinecone, Weaviate)
Machine Learning Workflows (TensorFlow, PyTorch, Scikit-learn)
1 GitHub stars

Casos de Uso

Implementing predictive analytics models using Scikit-learn or XGBoost
Developing a custom RAG (Retrieval-Augmented Generation) application
Building and auditing secure Ethereum smart contracts

Acerca de

Características Principales

LLM Integration (OpenAI, Claude, LangChain)
Blockchain & Smart Contract Development (Solidity, Web3.js)
Game Engine Logic (Unity, Unreal Engine, Godot)
Vector Database Implementation (Pinecone, Weaviate)
Machine Learning Workflows (TensorFlow, PyTorch, Scikit-learn)
1 GitHub stars

Casos de Uso

Implementing predictive analytics models using Scikit-learn or XGBoost
Developing a custom RAG (Retrieval-Augmented Generation) application
Building and auditing secure Ethereum smart contracts