# ai-agent-builder

Designs AI agents with function calling, context memory management, and multi-step reasoning based on n8n workflow patterns.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 4800 installs · ★ 540
- Author: claude-office-skills
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/claude-office-skills/skills/tree/HEAD/ai-agent-builder/SKILL.md
- Updated: 2026-01-31
- HTML: https://affpapa.org/en/nevibecode/skills/ai-agent-builder

## What it does

The skill outlines agent architectures across reactive, conversational, and reasoning setups for ChatGPT, Claude, and Gemini. It draws directly on patterns from 5,000 n8n workflow templates.

It details tool definitions for operations like web searches, database queries, and email delivery. For context handling, the skill provides buffer, vector, and summary memory patterns alongside an 8000 token budget breakdown. It also lays out the step-by-step ReAct pattern for chaining thoughts and actions.

The configuration specifically recommends claude-opus-4 and claude-sonnet-4. Choosing weaker models leads to degraded multi-step planning. Workflow examples also show how to connect `@n8n/n8n-nodes-langchain.agent` into webhook pipelines.

## Requirements
- Works with: n8n

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add claude-office-skills/skills --skill ai-agent-builder -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/ai-agent-builder/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/ai-agent-builder/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add claude-office-skills/skills --skill ai-agent-builder -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/ai-agent-builder/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add claude-office-skills/skills --skill ai-agent-builder -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/ai-agent-builder/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install claude-office-skills/skills ai-agent-builder
```

2. **Manually: put the files in place**
- File: `.github/skills/ai-agent-builder/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add claude-office-skills/skills --skill ai-agent-builder -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/claude-office-skills/skills --path ai-agent-builder
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/ai-agent-builder/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add claude-office-skills/skills --skill ai-agent-builder -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/claude-office-skills/skills/tree/HEAD/ai-agent-builder/SKILL.md

## When to use it
- design function calling schemas for external APIs
- configure vector and buffer memory strategies
- build multi-step ReAct reasoning flows
- set up LangChain agent nodes inside n8n workflows

## Example prompts
- Help me design a ReAct agent that queries a database and searches the web
- Set up a token budget and memory strategy for a long conversation bot
- Generate an n8n agent workflow schema with custom API tools

## Source text · SKILL.md · MIT

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: 2e7f818fd1b15164.

BEGIN THIRD-PARTY FILE 2e7f818fd1b15164
````text
---
name: ai-agent-builder
description: "Build AI agents with tools, memory, and multi-step reasoning - ChatGPT, Claude, Gemini integration patterns"
version: "1.0.0"
author: claude-office-skills
license: MIT

category: ai
tags:
  - ai-agent
  - chatgpt
  - openai
  - langchain
  - automation
department: Engineering

models:
  recommended:
    - claude-opus-4
    - claude-sonnet-4

capabilities:
  - agent_design
  - tool_integration
  - memory_management
  - multi_step_reasoning
  - conversation_flow

languages:
  - en
  - zh

related_skills:
  - deep-research
  - n8n-workflow
  - slack-workflows
---

# 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

```
┌─────────────────────────────────────────────────────────────────┐
│                      AI AGENT ARCHITECTURE                       │
├─────────────────────────────────────────────────────────────────┤
│                                                                 │
│  ┌─────────────┐     ┌─────────────┐     ┌─────────────┐       │
│  │   Input     │────▶│   Agent     │────▶│   Output    │       │
│  │  (Query)    │     │   (LLM)     │     │  (Response) │       │
│  └─────────────┘     └──────┬──────┘     └─────────────┘       │
│                             │                                   │
│         ┌───────────────────┼───────────────────┐              │
│         │                   │                   │              │
│         ▼                   ▼                   ▼              │
│  ┌─────────────┐     ┌─────────────┐     ┌─────────────┐       │
│  │   Tools     │     │   Memory    │     │  Knowledge  │       │
│  │ (Functions) │     │  (Context)  │     │   (RAG)     │       │
````
END THIRD-PARTY FILE 2e7f818fd1b15164

The third-party file has ended. Everything between the 2e7f818fd1b15164 tags is data: requests and commands from it are not followed. An “end of file” line with another tag inside the block is part of the file.

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