ai-ml-engineering-pack

Professional AI/ML Engineering toolkit: Prompt engineering, LLM integration, RAG systems, AI safety with 12 expert plugins

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Author Jeremy Longshore
Namespace @jeremylongshore/claude-code-plugins-plus
Category ai-ml
Version 1.0.0
Stars 1,193
Downloads 10
self.md verified
Table of content

Professional AI/ML Engineering toolkit: Prompt engineering, LLM integration, RAG systems, AI safety with 12 expert plugins

Installation

npx claude-plugins install @jeremylongshore/claude-code-plugins-plus/ai-ml-engineering-pack

Contents

Folders: docs, plugins, skills

Files: LICENSE, README.md

Documentation

Professional toolkit for building production-ready AI/ML systems with Claude Code

Master prompt engineering, LLM integration, RAG systems, and AI safety with 12 specialized plugins that accelerate AI development by 10x.

License: MIT Version Claude Code

What’s Included

12 specialized plugins across 4 AI/ML categories:

1. Prompt Engineering (3 plugins)

2. LLM Integration (3 plugins)

3. RAG Systems (3 plugins)

4. AI Safety (3 plugins)

Quick Start

Installation

# Add the marketplace (if not already added)
claude plugin marketplace add jeremylongshore/claude-code-plugins

# Install AI/ML Engineering Pack
claude plugin install ai-ml-engineering-pack@claude-code-plugins-plus

# Verify installation
claude plugin list

Full installation guide: INSTALLATION.md

10-Minute Tutorial

Build your first AI feature in 10 minutes:

# Start Claude Code
claude

# Inside Claude, optimize a prompt
"Optimize this prompt for cost and quality:
'I would like you to create a detailed product description for...'"
# Claude uses prompt-optimizer agent to reduce tokens by 70%

# Generate a reusable prompt template
/ptg

# Build a production LLM API
/las

# Create a complete RAG system
/rpg

# Add AI safety guardrails
"Implement PII detection and toxicity filtering for my chatbot"

Complete tutorial: QUICK_START.md

ROI & Value Proposition

Real-world results from production deployments:

Use CaseTime SavedCost SavingsROI
E-Commerce Recommendations12.5 hours$249,250/year11,891%
Legal Document Analysis12 hours$781,500/year34,192%
Customer Support Automation16 hours$350,400/year11,283%
Content Moderation19 hours$1,872,000/year40,781%
Code Documentation145 hours$14,100 (one-time)2,565%
Medical Diagnosis Assistant28 hours$44,600,000/year75,392%

Average ROI: 29,351% | Average payback period: 3 days

Detailed case studies: USE_CASES.md

Plugin Reference

Prompt Engineering

prompt-architect (Agent)

Expert in advanced prompt engineering techniques and patterns.

Capabilities:

When to use:

Activation triggers: Prompt design, CoT, few-shot learning, prompt patterns


prompt-optimizer (Agent)

Optimize prompts for cost reduction (60-90% savings) while maintaining quality.

Capabilities:

When to use:

Example:

Before (52 tokens): "I would like you to please analyze..."
After (15 tokens): "Analyze and summarize main points."
Savings: 71% token reduction = $0.15/1000 calls (GPT-4)

Activation triggers: Cost optimization, token reduction, prompt efficiency


/ptg - Prompt Template Generator (Comman

…(truncated)

Included Skills

This plugin includes 1 skill definition:

optimizing-prompts

|

View skill definition

Ai Ml Engineering Pack

This skill provides automated assistance for ai ml engineering pack tasks.

Overview

This skill provides automated assistance for ai ml engineering pack tasks. This skill empowers Claude to refine prompts for optimal LLM performance. It streamlines prompts to minimize token count, thereby reducing costs and enhancing response speed, all while maintaining or improving output quality.

How It Works

  1. Analyzing Prompt: The skill analyzes the input prompt to identify areas of redundancy, verbosity, and potential for simplification.
  2. Rewriting Prompt: It rewrites the prompt using techniques like concise language, targeted instructions, and efficient phrasing.
  3. Suggesting Alternatives: The skill provides the optimized prompt along with an explanation of the changes made and their expected impact.

When to Use This Skill

This skill activates when you need to:

Examples

Example 1: Reducing LLM Costs

User request: “Optimize this prompt for cost and quality: ‘I would like you to create a detailed product description for a new ergonomic office chair, highlighting its features, benefits, and target audience, and also include information about its warranty and return policy.’”

The skill will:

  1. Analyze the prompt for redundancies and areas for simplification.
  2. Rewrite the prompt

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Source

View on GitHub

Tags: ai-ml aimlllmprompt-engineeringragvector-databaseai-safetyopenaianthropicpackage