# skim

> skim — tonyzdev-skim. Use this tool when you need to efficiently process large outputs from Claude Code and extract relevant schema information. Skim solves the problem of excessive output by returning only the essential schema, saving context and tokens in the process. Ideal for use cases involving large data sets and MCP servers, where streamlined output is crucial.

Canonical page: https://skillsregistry.net/skills/tonyzdev-skim  
JSON: https://api.skillsregistry.net/v1/skills/tonyzdev-skim

## Description

Skim: A MCP server for Claude Code — skim large outputs, return only schema. Save context, save tokens.

## Trust

- **Trust score (0–1):** 0.92
- **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/tonyzdev/skim)

## 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": "tonyzdev-skim"
    }
  }
}
```

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