# distill

> distill — gokulnair2001-distill. Use this tool when you need to convert web content into a standardized format, solving problems of messy HTML and inconsistent formatting. It takes in URLs or HTML and outputs clean Markdown, providing a fast and deterministic solution for agent-ready text. Ideal for use cases where consistent formatting is crucial, such as data processing and knowledge graph construction.

Canonical page: https://skillsregistry.net/skills/gokulnair2001-distill  
JSON: https://api.skillsregistry.net/v1/skills/gokulnair2001-distill

## Description

Turn any URL or HTML into clean, agent-ready Markdown — local, fast, deterministic. CLI + MCP server

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** GPL-3.0
- **Updated:** 2026-09-25

## Source

- **Source listing:** [GitHub](https://github.com/gokulnair2001/distill)

## 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": "gokulnair2001-distill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gokulnair2001-distill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gokulnair2001-distill/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