# genpark-neural-form-field-auto-filler-workflow-skill

> genpark-neural-form-field-auto-filler-workflow-skill — alphaparkinc-genpark-neural-form-field-auto-filler-workflow-skill. Use this tool when you need to automate form filling and extract schema field compliance with high accuracy, leveraging neural networks to streamline data entry processes and reduce manual errors. It takes in forms and schema as inputs and generates filled-out forms and compliance reports as outputs. Ideal for use cases involving repetitive form filling, data extraction, and workflow automation in various industries.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-neural-form-field-auto-filler-workflow-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-neural-form-field-auto-filler-workflow-skill

## Description

Neural form auto-filler & schema field compliance extractor (Fillout style)

## Trust

- **Trust score (0–1):** 1.00
- **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-neural-form-field-auto-filler-workflow-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-neural-form-field-auto-filler-workflow-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-neural-form-field-auto-filler-workflow-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-neural-form-field-auto-filler-workflow-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
