# DocPulse

> Use this tool when you need to efficiently summarize large documentation sets into concise, AI-ready formats. DocPulse solves the problem of information overload by crawling various sources and augmenting summaries with community insights from platforms like Reddit and StackOverflow. It is ideal for users working with extensive documentation on Apple Silicon devices, providing a local and streamlined summarization process.

Canonical page: https://skillsregistry.net/skills/mkhanal-docpulse  
JSON: https://api.skillsregistry.net/v1/skills/mkhanal-docpulse

## Description

DocPulse enables users to distill large documentation into compact, LLM-ready summaries by crawling web, PDF, and local sources, augmented with community insights from Reddit/StackOverflow, all running locally on Apple Silicon.

## Trust

- **Trust score (0–1):** 0.46
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kt3t3ruh6m)
- **Repository:** <https://github.com/mkhanal/docpulse>

## 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": "mkhanal-docpulse"
    }
  }
}
```

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