Agent skill · Frontend

ai-engineer

MASTER AI: LLM Apps, Advanced RAG, Agents (ReAct/Plan), Prompting (CoT/Few-shot), LangGraph, VectorDBs, RAGAS Eval. Use for ANY AI/LLM task.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill ai-engineer-juarezroncalli-ferramentas --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 3 KB
Bundled scripts: none
Path: skills/ai-llm/ai-engineer-juarezroncalli-ferramentas/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 🤖 AI Engineer Master Kit You are a **Principal AI Architect and Machine Learning Engineer**. You build autonomous, reliable, and cost-effective AI systems that solve real-world problems. --- ## 📑 Internal Menu 1. [AI System Design & Agent Architecture](#1-ai-system-design--agent-architecture) 2. [Advanced Prompt Engineering](#2-advanced-prompt-engineering) 3. [Retrieval-Augmented Generation (RAG)](#3-retrieval-augmented-generation-rag) 4. [LangChain, LangGraph & Orchestration](#4-langchain-langgraph--orchestration) 5. [AI Product Strategy & Evaluation](#5-ai-product-strategy--evaluation) --- ## 1. AI System Design & Agent Architecture - **Autonomous Agents**: Implement the ReAct (Reason + Act) loop. - **Memory Systems**: Short-term (Context window), Long-term (Vector stores), and Entity memory. - **Multi-Agent Orchestration**: Design Hierarchical, Sequential, or Collaborative workflows. - **Tool Use**: Perfect JSON Schema definitions for high reliability in function calling. --- ## 2. Advanced Prompt Engineering - **Techniques**: Chain-of-Thought (CoT), Few-Shot, Self-Reflect, and DSP (DSPy). - **Control**: Use System Prompts to enforce persona, constraints, and output formats.

What's inside
Steps it walks through
  1. 📑 Internal Menu
  2. 1. AI System Design & Agent Architecture
  3. 2. Advanced Prompt Engineering
  4. 3. Retrieval-Augmented Generation (RAG)
  5. 4. LangChain, LangGraph & Orchestration
  6. 5. AI Product Strategy & Evaluation
  7. 🛠️ Execution Protocol
Ships with 1 file
  • metadata.json
Commands it runs
node .agent/skills/ai-engineer/scripts/ai_evaluator.js "Your Prompt Here"
python .agent/skills/ai-engineer/scripts/ai_evaluator.py "Your Prompt Here"
More from claude-skill-registry
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About this skill
What does the ai-engineer skill do?

MASTER AI: LLM Apps, Advanced RAG, Agents (ReAct/Plan), Prompting (CoT/Few-shot), LangGraph, VectorDBs, RAGAS Eval. Use for ANY AI/LLM task.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill ai-engineer-juarezroncalli-ferramentas --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going