For AI agents: a documentation index is available at the root level at /llms.txt and /llms-full.txt. Append /llms.txt to any URL for a page-level index, or .md for the markdown version of any page.
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DocsGuidesSDKsIntegrationsAPI docsTutorialsFlagship blog
  • Tutorials
    • The human-in-the-loop alternative to autonomous remediation
    • The AI Iteration Loop for Deploying Reliable Agents with LangGraph
    • Using LaunchDarkly feature flags and Experimentation with Wordpress
    • Migrate a Hardcoded LangGraph Agent to LaunchDarkly AgentControl in 20 Minutes
    • Offline Evaluation of RAG-Grounded Answers in AgentControl
    • Beyond n8n for Workflow Automation: Agent Graphs as Your Universal Agent Harness
    • Catch your first silent AI failure with Vega AI in under 10 minutes
    • Evaluate LLM code generation with LLM-as-judge evaluators
    • OpenTelemetry for LLM Applications: A Practical Guide with LaunchDarkly and Langfuse
    • Use LaunchDarkly Agent Skills in Claude Code and Cursor
    • Detection to Resolution: Real World Debugging with Rage Clicks and Session Replay
    • Compare AI orchestrators: LangGraph vs Strands vs OpenAI Swarm
    • Building a data extraction pipeline with LaunchDarkly
    • Day 12 | 🎊 New Year, New Observability
    • Day 11 | ✉️ Letters to Santa: What engineering teams really want from Observability in 2026
    • Day 10 | Why observability and feature flags go together like milk and cookies
    • Day 9 | 👻 The Three Ghosts Haunting Your AI This Holiday Season
    • Day 7 | 🎄✨The Rockefeller tree in NYC: SLOs that actually drive decisions
    • Day 6 | 💸 The famous green character that stole your cloud budget: the cardinality problem
    • Day 5 | 🧹 Using a Popular Tidying Method to Consolidate Your Observability Stack
    • Day 4 | ❄️ Tracing the impact of holiday styling in your Node.js app
    • Day 8 | 🎁 Observable Multi-Modal Agentic Systems
    • Day 3 | 🔔 Jingle All the Way to Zero-Config Observability
    • Day 2 | 🎅 He knows if you have been bad or good... But what if he gets it wrong?
    • Collecting user feedback in your app with feature flags
    • Day 1 | 🎄 Observability Under the Tree: What Changed in 2025
    • Build a User Frustration Detection & Response System
    • When to Add Online Evals to Your AgentControl
    • Detecting User Frustration: Understanding Rage Clicks and Session Replay
    • AgentControl config CI/CD Pipeline: Automated Quality Gates and Safe Deployment
    • A Deeper Look at LaunchDarkly Architecture: More than Feature Flags
    • Add Observability to Your React Native App in 5 minutes
    • Smart AI Agent Targeting with MCP Tools
    • Build a LangGraph Multi-Agent System in 20 Minutes with LaunchDarkly AgentControl
    • Snowflake Cortex Completion API + LaunchDarkly SDK Integration
    • Using AgentControl to review database changes
    • How to implement WebSockets and kill switches in a Python application
    • 4 hacks to turbocharge your Cursor productivity
    • Create a feature flag in your IDE in 5 minutes with LaunchDarkly's MCP server
    • Observability for Your Go ORM: OpenTelemetry Integration with GORM
    • The complete guide to OpenTelemetry in Next.js
    • How to instrument your React Native app with OpenTelemetry
    • The complete guide to OpenTelemetry in Python
    • Monitoring Browser Applications with OpenTelemetry
    • How to Use OpenTelemetry to Monitor Next.js Applications
    • What is OpenTelemetry and Why Should I Care?
    • Distributed Tracing in Next.js Apps
    • Tracing Distributed Systems in Next.js
    • Real-time Monitoring in Django: Essential Tools and Techniques
    • DeepSeek vs Qwen: local model showdown featuring LaunchDarkly AgentControl
    • Application Tracing in .NET for Performance Monitoring
    • The Ultimate Guide to Ruby Logging: Best Libraries and Practices
    • Using Materialized Views in ClickHouse (vs. Postgres)
    • Filtering and Sampling LaunchDarkly Ingest
    • How to Set Up Your Production AWS MSK Kafka Cluster
    • Publishing an NPM Package with Private pnpm Monorepo Dependencies
    • How To Use The Chrome Inspector & Debugger
    • 3 Levels of Data Validation in a Full Stack Application With React
    • The power of the monorepo: Keep your fullstack app in sync!
    • Compression: The simple, powerful upgrade for your web stack
    • Video tutorials
      • Agent Graphs: Taming Multi-Agent Architecture
      • Build a multi-agent system with LaunchDarkly Agent Skills
      • Introducing Judges: Enhancing AI Response Quality Monitoring
      • Day 12 | 🎊 New Year, New Observability
      • Day 10 | Why observability and feature flags go together like milk and cookies
      • Day 9 | 👻 The Three Ghosts Haunting Your AI This Holiday Season
      • Day 5 | 🧹 Using a Popular Tidying Method to Consolidate Your Observability Stack
      • How to target users in production without redeploying code
      • How to run safe migrations using feature flags
      • How to vibe code safely using LaunchDarkly feature flags
      • How to set up a kill switch for any feature in production
      • How to roll out a feature to 1% of users and then scale safely
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  • Build a multi-agent system with Agent Skills
  • What you’ll learn
  • Next steps
TutorialsVideo tutorials

Build a multi-agent system with LaunchDarkly Agent Skills

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Published March 26, 2026

Portrait of Scarlett Attensil.

by Scarlett Attensil

What if you could skip the UI and just tell your AI coding assistant what to build? This video walks through setting up three agents—idea validator, landing page writer, and tech stack advisor—using nothing but natural language prompts.

AI Configs are called AgentControl configs

LaunchDarkly AI Configs have been rebranded as AgentControl and AgentControl configs. Some references in this topic may be outdated.

Build a multi-agent system with Agent Skills

What you’ll learn

  • Installing Agent Skills in Claude Code, Cursor, or Windsurf
  • Creating AgentControl configs by describing what you want
  • Setting up targeting so your agents get the right config
  • Running the Side Project Launcher demo

Next steps

For the full written tutorial with code examples, read LLM Product Development with LaunchDarkly Agent Skills.