skills.rest
yonatangross
yonatangrossCOMMUNITY
Explore all skills by this author →
𝕏@yonyonizGitHub

langgraph-workflows

Coordinate eight agents with a supervisor in LangGraph workflows.

3|Updated Dec 27, 2025
Search Tags:#workflow#multi-agent#observability#checkpointing#LangGraph#supervisor
One-click install
npx skills add https://github.com/yonatangross/create-yg-app --skill langgraph-workflows-yonatangross
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: langgraph-workflows
Source: https://github.com/yonatangross/create-yg-app/tree/main/.claude/skills/langgraph-workflows
Command: npx skills add https://github.com/yonatangross/create-yg-app --skill langgraph-workflows-yonatangross

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps teams design, implement, and observe adaptive multi-agent workflows using LangGraph, enabling fault-tolerant routing, checkpointing, and rich observability.

Core Features & Use Cases

  • Supervisor-Worker orchestration: central routing that coordinates specialized agents and returns results to the supervisor.
  • Checkpointing & resilience: persist and resume workflows after failures, with human-in-the-loop options.
  • Observability integration: built-in Langfuse tracing for per-node latency and costs.

Quick Start

Load a pre-built LangGraph workflow from templates and run it in your environment. Example: deploy an 8-agent content analysis pipeline with quality gate and compression.

Frequently Asked Questions about langgraph-workflows

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a multi-agent workflow with a supervisor pattern in LangGraph?▼

A LangGraph multi-agent workflow uses a supervisor to coordinate specialized agents, routing tasks and returning results centrally. This pattern supports adaptive analysis pipelines with conditional decisioning and quality gates.

How does checkpointing work for resuming LangGraph workflows after failures?▼

Checkpointing in LangGraph workflows persists state to PostgreSQL, allowing you to resume execution after failures. This enables fault-tolerant routing and supports human-in-the-loop options for complex multi-agent decisions.

Can I add observability and latency tracing to LangGraph multi-agent workflows?▼

Yes, LangGraph multi-agent workflows integrate Langfuse observability for built-in tracing. This provides per-node latency and cost monitoring, giving real-time visibility into your multi-agent execution performance.

What do I need to set up before running an 8-agent LangGraph workflow pipeline?▼

You need a Python dev environment with LangGraph and Langfuse installed, plus PostgreSQL for persistent checkpoints. Project templates and dependencies must be configured to deploy the 8-agent analysis pipeline.

What is the best way to handle conditional decisioning across multiple specialized agents?▼

Using a supervisor-worker orchestration pattern in LangGraph handles conditional decisioning by routing tasks to specialized agents and returning results to the supervisor for evaluation and quality gating.

Why does my LangGraph multi-agent workflow need a PostgreSQL database?▼

LangGraph workflows require PostgreSQL to enable checkpointing and resilience. This database stores persistent checkpoints so multi-agent workflows can resume after failures and support human-in-the-loop interactions.

Related Skills

Explore More Software Engineering Skills→
jankneumannjankneumann
4

bao-vault

Seeds OpenBao secrets and configures agent AppRoles from .yaml files.

Community
Intermediate
sammcjsammcj
155

aws-strands-agents-agentcore

Guide AWS Strands Agents SDK and AgentCore deployments across Lambda, ECS/Fargate, and AgentCore Runtime.

Community
Advanced
roanbrasilroanbrasil
5

langgraph-workflows

Implement stateful, cyclic LLM workflows with LangGraph checkpoints and routing.

Community
Advanced
manutejmanutej
6

langgraph-orchestration

Orchestrate stateful multi-agent workflows with LangGraph graph patterns.

Community
Intermediate