langgraph-agents

🥈Silver

@nehalvaghasiya

Real-world AI agents that think, search, write, and build - powered by LangGraph and modular LLM

710Updated Today

Intermediate30min to implementautomation

Saves ~180 min per use

Quick InstallView Source

git clone https://github.com/nehalvaghasiya/langgraph-agents.git

Works with:

Claude

Overview

About This Skill

Real-world AI agents that think, search, write, and build - powered by LangGraph and modular LLM

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/nehalvaghasiya/langgraph-agents

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

Create a LangGraph agent that can automate [TASK] for [COMPANY] in the [INDUSTRY] sector. The agent should use [DATA] to perform its functions. Specify the modules and workflow steps required to complete the task.

Example Output

# LangGraph Agent Design for Market Analysis Automation

## Overview
This agent automates market analysis for TechCorp in the technology sector using real-time industry data. It performs the following functions:
- Data collection from multiple sources
- Competitive analysis
- Trend identification
- Report generation

## Modules
1. **Data Collection Module**: Gathers data from APIs, web scraping, and internal databases
2. **Analysis Module**: Processes data to identify trends and competitive positioning
3. **Reporting Module**: Generates comprehensive market analysis reports
4. **Decision Support Module**: Provides actionable insights and recommendations

## Workflow
1. **Data Ingestion**: Collects and cleans data from specified sources
2. **Analysis**: Processes data to identify key trends and competitive insights
3. **Report Generation**: Compiles findings into a structured report
4. **Insight Delivery**: Presents actionable recommendations to stakeholders

## Expected Output
- Comprehensive market analysis report
- Identified trends and opportunities
- Competitive positioning insights
- Actionable recommendations for strategic decision-making