# genpark-visual-dag-agent-workflow-tool-chainer-skill

> genpark-visual-dag-agent-workflow-tool-chainer-skill — alphaparkinc-genpark-visual-dag-agent-workflow-tool-chainer-skill. Use this tool when you need to visually design and chain agent workflows, and track their state with a checkpointer, to streamline complex processes and improve productivity. It solves problems of workflow management, automation, and version control, especially in applications with multiple tasks and dependencies. The tool accepts workflow definitions and Git repository inputs, and outputs a visual representation of the workflow and its execution state.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-visual-dag-agent-workflow-tool-chainer-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-visual-dag-agent-workflow-tool-chainer-skill

## Description

Visual DAG agent workflow tool chainer & state checkpointer (Dify / Flowise style)

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-22

## Source

- **Source listing:** [GitHub](https://github.com/alphaparkinc/genpark-visual-dag-agent-workflow-tool-chainer-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-visual-dag-agent-workflow-tool-chainer-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-visual-dag-agent-workflow-tool-chainer-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-visual-dag-agent-workflow-tool-chainer-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