# skimless

> skimless — pedroofrancaa-skimless. Use this tool when you need to simplify large pull requests by determining a logical reading order for changed files. Skimless solves the problem of navigating complex code reviews by providing a streamlined view of changes, and it accepts Git repositories as input, outputting a readable order for review. It can be used as a CLI, GitHub Action, or server, making it a versatile solution for developers and teams.

Canonical page: https://skillsregistry.net/skills/pedroofrancaa-skimless  
JSON: https://api.skillsregistry.net/v1/skills/pedroofrancaa-skimless

## Description

The reading order for pull requests that got too big. Offline CLI, GitHub Action, and 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:** MIT
- **Updated:** 2026-09-23

## Source

- **Source listing:** [GitHub](https://github.com/pedroofrancaa/skimless)

## 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": "pedroofrancaa-skimless"
    }
  }
}
```

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