Does this skill help with RAG implementation?

Yes, it provides a dedicated phase for RAG engineering, including guidance on embedding strategies, chunking, vector databases, and hybrid search implementation.

Does it cover AI security and observability?

Yes, the bundle includes phases for AI observability using tools like Langfuse and security scanning to protect against prompt injection and ensure data privacy.

What is the AI/ML Workflow Bundle for Claude Code?

It is a comprehensive set of domain-specific instructions and patterns that guide Claude in building LLM applications, RAG systems, AI agents, and machine learning pipelines.

Can I use this to build AI agents?

Absolutely. The workflow includes specialized skills for autonomous agents, multi-agent patterns, and frameworks like CrewAI and LangGraph.

AI/ML Development Workflow

Name: AI/ML Development Workflow
Author: JantonioFC

byJantonioFC

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Data Science & ML

Orchestrates comprehensive AI and machine learning development cycles including LLM integration, RAG systems, and autonomous agent architectures.

This specialized bundle provides a structured framework for building production-ready AI applications, covering the entire lifecycle from initial architectural design to deployment and observability. It streamlines complex tasks such as implementing Retrieval-Augmented Generation (RAG), developing multi-agent systems with frameworks like LangGraph and CrewAI, and establishing robust MLOps pipelines. Whether you are optimizing prompts, setting up vector databases, or implementing AI security measures, this skill serves as a central hub for professional AI engineering within the Claude Code environment.

Key Features

01End-to-end RAG system implementation and vector database optimization

02Full MLOps pipeline development for model training and deployment

03Multi-agent architecture design using LangGraph, CrewAI, and LangChain

04Advanced AI observability and security scanning for production workloads

05Comprehensive LLM integration, prompt engineering, and model selection

062 GitHub stars

Use Cases

01Building enterprise-grade RAG applications with complex data pipelines

02Developing autonomous multi-agent systems for workflow automation

03Setting up MLOps infrastructure for scalable machine learning models

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jantoniofc/skillsbank ai-ml

For use in Claude.ai and ChatGPT