# genpark-lost-in-the-middle-context-reordering-skill

> genpark-lost-in-the-middle-context-reordering-skill — alphaparkinc-genpark-lost-in-the-middle-context-reordering-skill. Use this tool when you need to restructure documents to improve readability and relevance, mitigating the "lost-in-the-middle" effect by strategically placing key evidence at the beginning and end of a text. It solves the problem of degraded attention and comprehension by reordering content to maximize impact and retention. Ideal for refining documents, articles, or prompts where clarity and engagement are crucial.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-lost-in-the-middle-context-reordering-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-lost-in-the-middle-context-reordering-skill

## Description

GenPark AI Agent Skill - Document attention curve reorderer mitigating lost-in-the-middle degradation by placing high-relevance evidence at prompt head and tail.

## Trust

- **Trust score (0–1):** 0.98
- **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/alphaparkinc/genpark-lost-in-the-middle-context-reordering-skill)

## 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": "alphaparkinc-genpark-lost-in-the-middle-context-reordering-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-lost-in-the-middle-context-reordering-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-lost-in-the-middle-context-reordering-skill/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