# agent-graphs

Designs and coordinates LaunchDarkly agent graphs with edge routing and handoff payloads. Useful when linking specialized models into structured multi-agent workflows.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 1800 installs · ★ 28
- Author: launchdarkly
- License: Apache-2.0 · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/launchdarkly/ai-tooling/tree/HEAD/skills/agentcontrol/agent-graphs/SKILL.md
- Updated: 2026-10-24
- HTML: https://affpapa.org/en/nevibecode/skills/agent-graphs

## What it does

This skill guides you through constructing directed graphs where LaunchDarkly AI configs act as nodes. Each config holds its own model, prompt, and tool set. Directed edges define how requests route from the entry root config down to specialist agents.

Running this skill requires a remotely hosted LaunchDarkly MCP server configured in your environment. Without active tools like `create-agent-graph` and `get-agent-graph`, the skill cannot inspect or register topologies.

All config nodes must exist in the project before you build the graph. The skill checks existing setups with `get-ai-config`, establishes routing keys, attaches handoff context objects to edges, and flags loops lacking termination criteria.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add launchdarkly/ai-tooling --skill agent-graphs -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/agent-graphs/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/agent-graphs/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add launchdarkly/ai-tooling --skill agent-graphs -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/agent-graphs/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add launchdarkly/ai-tooling --skill agent-graphs -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/agent-graphs/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install launchdarkly/ai-tooling agent-graphs
```

2. **Manually: put the files in place**
- File: `.github/skills/agent-graphs/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add launchdarkly/ai-tooling --skill agent-graphs -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/launchdarkly/ai-tooling --path skills/agentcontrol/agent-graphs
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/agent-graphs/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add launchdarkly/ai-tooling --skill agent-graphs -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/launchdarkly/ai-tooling/tree/HEAD/skills/agentcontrol/agent-graphs/SKILL.md

## When to use it
- route requests across specialized LaunchDarkly agent configs
- define handoff context payloads transferred along graph edges
- inspect and validate agent graph topologies in your project
- structure multi-step pipelines from an entry triage node

## Example prompts
- Design an agent graph for customer support triage with billing and technical specialist nodes
- Create support-triage-graph in project my-project connecting triage-agent to specialists
- List existing agent graphs in the project and verify edge configurations

## Source text · SKILL.md · Apache-2.0

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: fa835774fe115126.

BEGIN THIRD-PARTY FILE fa835774fe115126
````text
---
name: agent-graphs
description: "Create and manage agent graphs — directed graphs of configs connected by edges with handoff logic. Use when building multi-agent workflows where configs route to each other."
license: Apache-2.0
compatibility: Requires the remotely hosted LaunchDarkly MCP server
metadata:
  author: launchdarkly
  version: "0.1.0"
---

# Config Agent Graphs

You're using a skill that will guide you through creating and managing agent graphs in LaunchDarkly. Your job is to design the graph topology, create it with the right edges and handoffs, and verify the routing between config nodes.

## Prerequisites

This skill requires the remotely hosted LaunchDarkly MCP server to be configured in your environment.

**Required MCP tools:**
- `create-agent-graph` -- create a new graph with nodes and edges
- `get-agent-graph` -- inspect a graph's structure and edges
- `list-agent-graphs` -- browse existing graphs in the project

**Optional MCP tools:**
- `update-agent-graph` -- modify edges, root config, or description
- `delete-agent-graph` -- permanently remove a graph
- `get-ai-config` -- inspect individual configs that serve as nodes
- `create-ai-config` -- create new configs to use as graph nodes

## Core Concepts

### What Are Agent Graphs?

An agent graph is a directed graph where:
- **Nodes** are configs (each config is an agent with its own model, prompt, and tools)
- **Edges** define routing between configs (source -> target)
- **Handoff data** on edges controls how context is passed between agents
- **Root config** is the entry point — the first agent that receives user input

### When to Use Agent Graphs

| Scenario | Example |
|----------|---------|
| **Multi-step workflows** | Triage agent -> Specialist agent -> Summary agent |
| **Routing by intent** | Router agent decides which specialist handles the request |
| **Escalation chains** | L1 support -> L2 support -> Human handoff |
| **Pipeline processing** | Extract -> Transform -> Validate -> Store |

### Graph Structure

```
[Root Config] --edge--> [Config A] --edge--> [Config C]
                  \--edge--> [Config B]
```

Each edge has:
- `key` -- unique identifier for the edge
- `sourceConfig` -- the config key that routes FROM
- `targetConfig` -- the config key that routes TO
- `handoff` (optional) -- data/instructions passed during the transition

## Core Principles

1. **Design Before Building**: Map out nodes and edges on paper/whiteboard first
2. **One Agent, One Job**: Each node should have a clear, focused responsibility
3. **Root Config Is the Router**: The entry point should understand how to dispatch
4. **Handoff Data Matters**: Define what context flows between agents
5. **Verify the Full Path**: Test that routing works end-to-end

## Workflow

### Step 1: Design the Graph

Before creating anything:

1. Identify the agents (configs) needed — each is a graph node
````
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