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

> genpark-stateful-agent-dag-node-executor-skill — alpha-park-genpark-stateful-agent-dag-node-executor-skill. Use this tool when you need to execute complex workflows with conditional transitions and shared state management, solving problems like automated decision-making and process optimization. It takes in DAG definitions and input data, producing output based on conditional edge transitions and state reductions. Ideal for use cases requiring dynamic workflow execution, such as AI-driven pipelines and automated business processes.

Canonical page: https://skillsregistry.net/skills/alpha-park-genpark-stateful-agent-dag-node-executor-skill  
JSON: https://api.skillsregistry.net/v1/skills/alpha-park-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/Alpha-Park/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": "alpha-park-genpark-stateful-agent-dag-node-executor-skill"
    }
  }
}
```

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

---
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