agent-skills/skills/langgraph-workflow-creation/SKILL.md

name, version, description, inputs, steps, outputs, tags, metadata

name	version	description	inputs	steps	outputs	tags	metadata
langgraph-workflow-creation	1.0.0	Create a LangGraph workflow to gather facts using SerperDevTool and process them with an AI agent.	API Key for SerperDevTool Search Query	Step 1: Import necessary modules from langgraph and langchain libraries Step 2: Create a LangGraph agent using `langgraph.create_react_agent` function with SerperDevTool as the tool node Step 3: Define the search query and pass it to the agent for fact gathering Step 4: Process the gathered facts within the AI agent	Processed Facts		source_repo extracted_at confidence https://github.com/jkmaina/LangGraphProjects.git 0.95

langgraph-workflow-creation

Create a LangGraph workflow to gather facts using SerperDevTool and process them with an AI agent.

Setup

Dependencies:

pip install langchain serperdev

Setup steps:

1. Install required libraries: pip install langchain serperdev
2. Add API key to .env file: OPENAPI_API_KEY=your_api_key

Key Files

• agent.py - Contains the LangGraph agent creation logic
• tool_node.py - Defines the SerperDevTool node

Steps

1. Step 1: Import necessary modules from langgraph and langchain libraries
2. Step 2: Create a LangGraph agent using langgraph.create_react_agent function with SerperDevTool as the tool node
3. Step 3: Define the search query and pass it to the agent for fact gathering
4. Step 4: Process the gathered facts within the AI agent

Implementation Details

import langgraph
from serperdev import SerperDevTool

def create_agent(api_key, query):
    tool = SerperDevTool(api_key)
    agent = langgraph.create_react_agent(tool=tool)
    facts = agent.run(query)
    return process_facts(facts)

Inputs

• API Key for SerperDevTool
• Search Query

Outputs

• Processed Facts

Failure Modes

• API Key not provided
• Invalid Search Query

Source

Extracted from: https://github.com/jkmaina/LangGraphProjects.git Confidence: 0.95