# pulp

> pulp — nipunbatra-pulp. Use this tool when you need to collaboratively design and edit web pages with precise control over HTML and CSS. It solves problems of dynamic web page creation and editing, allowing multiple AI agents to work together on an infinite canvas. With inputs of HTML and CSS code, and outputs of editable and exportable web page documents, pulp is ideal for use cases requiring flexible and collaborative web development.

Canonical page: https://skillsregistry.net/skills/nipunbatra-pulp  
JSON: https://api.skillsregistry.net/v1/skills/nipunbatra-pulp

## Description

Enables AI agents to collaboratively design and edit web pages on an infinite canvas using real HTML/CSS, with tools for reading, mutating, and exporting documents.

## Trust

- **Trust score (0–1):** 0.57
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lzac1djt2h)
- **Repository:** <https://github.com/nipunbatra/pulp>

## 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": "nipunbatra-pulp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nipunbatra-pulp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nipunbatra-pulp/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