langgraph-email-automation

🥈Silver

Automate customer support emails with multi-agent system built on Langchain and Langgraph. Categorizes emails, synthesizes queries, drafts responses, and verifies content. Integrates with Gmail API for workflow.

236590Updated Today

Intermediate30min to implementautomation

Saves ~90 min per use

Quick InstallView Source

git clone https://github.com/kaymen99/langgraph-email-automation.git

Works with:

Claude

Overview

About This Skill

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/kaymen99/langgraph-email-automation

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

I want to automate my customer support emails using Langchain and Langgraph. Here's my setup: [COMPANY] is in the [INDUSTRY] sector. I receive [VOLUME] emails daily with common issues like [ISSUE1], [ISSUE2], and [ISSUE3]. I want to categorize these emails, synthesize the queries, draft appropriate responses, and verify the content before sending. I also want to integrate this system with the Gmail API. Can you guide me through the process?

Example Output

## Email Automation System Setup Guide

### Step 1: System Architecture

```mermaid
flowchart TD
    A[Incoming Emails] --> B[Email Categorization Agent]
    B --> C[Query Synthesis Agent]
    C --> D[Response Drafting Agent]
    D --> E[Content Verification Agent]
    E --> F[Gmail API Integration]
    F --> G[Sent Emails]
```

### Step 2: Agent Configuration

- **Email Categorization Agent**: Uses a fine-tuned classifier to categorize emails into predefined categories.
- **Query Synthesis Agent**: Extracts key information and synthesizes the query for better understanding.
- **Response Drafting Agent**: Drafts a response based on the synthesized query and predefined templates.
- **Content Verification Agent**: Verifies the content for accuracy, tone, and completeness.

### Step 3: Gmail API Integration

- **Authentication**: Use OAuth 2.0 for secure authentication.
- **API Setup**: Configure the API to fetch incoming emails and send responses.
- **Rate Limits**: Ensure the system respects Gmail API rate limits to avoid throttling.

### Step 4: Deployment and Monitoring

- **Deployment**: Deploy the system on a cloud platform like AWS or GCP.
- **Monitoring**: Set up monitoring to track system performance and handle errors.
- **Feedback Loop**: Implement a feedback loop to improve the system over time.