Covers the full stack of building AI agents that can use tools, maintain conversation memory, and execute multi-step reasoning tasks. You get concrete patterns for ReAct workflows, different memory strategies (buffer, summary, vector, entity), and integration templates for ChatGPT, Claude, and Gemini. The architecture breakdowns are solid, showing how to handle context window management and when to use reactive versus reasoning agents. Built on n8n's workflow templates, so the Slack and webhook examples are production-ready rather than theoretical. Most useful when you're moving past simple prompt-and-response and need agents that can actually take actions or remember things across conversations.

skills.sh installs
5K
GitHub stars
572
last updated
Aug 21, 2026

Install

$ npx -y skills add claude-office-skills/skills --skill ai-agent-builder --agent claude-code

Installs into .claude/skills of the current project.

Files

AI Agent Builder

Design and build AI agents with tools, memory, and multi-step reasoning capabilities. Covers ChatGPT, Claude, Gemini integration patterns based on n8n's 5,000+ AI workflow templates.

Overview

This skill covers:

  • AI agent architecture design
  • Tool/function calling patterns
  • Memory and context management
  • Multi-step reasoning workflows
  • Platform integrations (Slack, Telegram, Web)

AI Agent Architecture

Core Components

Sponsors

Details

Repository
github.com/claude-office-skills/skills
Categories
DevOps & CI/CD, AI & Agent Building, Office & Documents
First seen
Apr 16, 2026

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