# read-optimizer

> read-optimizer — autogame-17-read-optimizer. Use this tool when you need to efficiently read and process large files, reducing token usage and improving performance. The read-optimizer provides smarter read strategies such as head, tail, grep, and diff to solve problems like slow file processing and high token consumption. It takes file inputs and returns optimized output, making it ideal for use cases where file reading is a bottleneck.

Canonical page: https://skillsregistry.net/skills/autogame-17-read-optimizer  
JSON: https://api.skillsregistry.net/v1/skills/autogame-17-read-optimizer

## Description

Optimizes file reading operations by providing smarter read strategies (head/tail/grep/diff) to reduce token usage.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** file-system
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/autogame-17-read-optimizer)

## 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": "autogame-17-read-optimizer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/autogame-17-read-optimizer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/autogame-17-read-optimizer/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