Agent skill

custom-ai-agents

View SKILL.md on GitHub Repository

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npx add-skill https://github.com/Gaku52/claude-code-skills/tree/main/07-ai/custom-ai-agents

SKILL.md

日本語版

Custom AI Agents

AI agents grant LLMs the ability to act autonomously. This skill covers everything about AI agent development — from agent architecture, tool integration, and multi-agent systems to the MCP protocol and production deployment.

Target Audience

Engineers designing and implementing AI agents
Those looking to build more advanced LLM applications
Those interested in multi-agent systems

Prerequisites

Experience using LLM APIs
Hands-on experience with TypeScript or Python
Web development fundamentals

Learning Guide

00-fundamentals — Agent Fundamentals

#	File	Description

01-architecture — Architecture

#	File	Description

02-tools — Tools and Frameworks

#	File	Description

03-advanced — Advanced Topics

#	File	Description

04-deployment — Deployment and Operations

#	File	Description

Quick Reference

Agent Pattern Selection:
  Simple task          → Single Agent + Tool Use
  Complex task         → Plan-and-Execute
  Mixed specialties    → Multi-Agent
  Human approval needed → Human-in-the-Loop
  Many external tools  → MCP Integration

Framework Selection:
  Lightweight, flexible   → Anthropic SDK directly
  Full-stack              → LangChain / LangGraph
  Multi-agent             → CrewAI / AutoGen
  TypeScript              → Vercel AI SDK

References

Anthropic. "Tool Use Documentation." docs.anthropic.com, 2024.
LangChain. "Documentation." langchain.com/docs, 2024.
Anthropic. "MCP Specification." modelcontextprotocol.io, 2024.

Maintainer

Gaku52 Core maintainer

Source details

Full Name: Gaku52/claude-code-skills
Branch: main
Path in repo: 07-ai/custom-ai-agents
License: MIT License
Topics: claude-code ai-coding developer-tools knowledge-base software-engineering learning-resources

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