# genpark-stateful-agent-dag-node-executor-skill

> genpark-stateful-agent-dag-node-executor-skill — alphaparkinc-genpark-stateful-agent-dag-node-executor-skill. Use this tool when you need to execute complex workflows with conditional transitions and shared state management. It solves problems of managing intricate AI agent workflows, reducing shared state, and preventing infinite loops. The tool takes in DAG definitions and inputs, and outputs executed workflows with managed state, ideal for use cases involving dynamic and conditional workflow execution.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-stateful-agent-dag-node-executor-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-stateful-agent-dag-node-executor-skill

## Description

GenPark AI Agent Skill - Stateful directed acyclic graph (DAG) execution engine for AI agents with conditional edge transitions, shared state reduction, and loop guardrails.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/alphaparkinc/genpark-stateful-agent-dag-node-executor-skill)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "alphaparkinc-genpark-stateful-agent-dag-node-executor-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-stateful-agent-dag-node-executor-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-stateful-agent-dag-node-executor-skill/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt