ai-ml-engineering-pack

v1.30.0

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

Claude Code1 skill

by Jeremy LongshoreMIT2.6kupdated 10 hours ago

Source

$ git clone https://github.com/jeremylongshore/claude-code-plugins-plus-skills

Clone the source, then follow the repository's marketplace instructions for your runtime. The plugin root is plugins/packages/ai-ml-engineering-pack/ inside the repository.

Layout

plugins/packages/ai-ml-engineering-pack/

├── .claude-plugin/plugin.json
└── skills/optimizing-prompts/SKILL.md

Skills1

optimizing-promptsskills/optimizing-prompts/SKILL.md

Execute this skill optimizes prompts for large language models (llms) to reduce token usage, lower costs, and improve performance. it analyzes the prompt, identifies areas for simplification and redundancy removal, and rewrites the prompt to be more conci... Use when optimizing performance. Trigger with phrases like 'optimize', 'performance', or 'speed up'.

Manifests1

plugins/packages/ai-ml-engineering-pack/.claude-plugin/plugin.json

{
  "name": "ai-ml-engineering-pack",
  "version": "1.30.0",
  "description": "Professional AI/ML Engineering toolkit: Prompt engineering, LLM integration, RAG systems, AI safety with 12 expert plugins",
  "author": {
    "name": "Jeremy Longshore",
    "email": "[email protected]",
    "url": "https://github.com/jeremylongshore"
  },
  "repository": "https://github.com/jeremylongshore/claude-code-plugins",
  "homepage": "https://claudecodeplugins.io/",
  "license": "MIT",
  "keywords": [
    "ai",
    "ml",
    "llm",
    "prompt-engineering",
    "rag",
    "vector-database",
    "ai-safety",
    "openai",
    "anthropic",
    "claude",
    "gpt",
    "embeddings",
    "semantic-search",
    "prompt-injection",
    "cost-optimization",
    "agent-skills"
  ]
}