agent-graphs
Create and manage agent graphs — directed graphs of configs connected by edges with handoff logic.
Skill by launchdarklyOfficial
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/launchdarkly-agent-graphs
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About
Use cases: agent-building
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/agent-graphs
What's inside
- Skill 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
- Instructions
- 146 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- body: contains an absolute path from the author's machine
Files (1)
- SKILL.md
SKILL.md (first lines)
# 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
2. Map the routing: which agent hands off to which?
3. Define handoff data: what context does each edge carry?
4. Identify the root config: which agent receives initial input?
5. Check existing graphs with `list-agent-graphs` to avoid duplicates
6. Check existing configs with `get-ai-config` to see what nodes already exist
### Step 2: Ensure Nodes Exist
Each node in the graph must be an existing config. If configs don't exist yet:
1. Use `create-ai-config` to create each agent config
2. Set up variations with appropriate models and prompts for each agent's role
3. Verify each config exists with `get-ai-config`
### Step 3: Create the Graph
Use `create-agent-graph` with:
- `projectKey` -- the project containing the configs
- `key` -- unique identifier for the graph
- `name` -- human-readable display name
- `description` (optional) -- explain the graph's purpose
- `rootConfigKey` -- the entry-point config key
- `edges` -- array of connections between configs
```json
{
"projectKey": "my-project",
"key": "support-triage-graph",
"name": "Customer Support Triage",
"description": "Routes customer queries to the appropriate specialist agent",
"rootConfigKey": "triage-agent",
"edges": [
{
"key": "triage-to-billing",
"sourceConfig": "triage-agent",
"targetConfig": "billing-specialist",
"handoff": {"category": "billing", "priority": "normal"}
},
{
"key": "triage-to-technical",
"sourceConfig": "triage-agent",
"targetConfig": "technical-specialist",
"handoff": {"category": "technical", "priority": "normal"}
}
]
}
```
### Step 4: Verify
1. Use `get-agent-graph` to confirm the graph was created with the correct structure
2. Verify edges connect the right source and target configs
3. Check that the root config key matches the intended entry point
4. Confirm handoff data is present on edges that need itFrom launchdarkly/ai-tooling, Apache-2.0.
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Signals
- Stars
- 28
- Forks
- 11
- Open issues
- 7
- Last commit (this folder)
- Jul 27, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 0.1.0
- License
- Apache-2.0
- Repository
- github.com/launchdarkly/ai-tooling
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
agent-graphs skill. Agent Mart. https://agentmart.dev/skills/launchdarkly-agent-graphs (last updated 2026-10-24)