# genpark-page-replacement-lru-clock-lfu-skill

> genpark-page-replacement-lru-clock-lfu-skill — alphaparkinc-genpark-page-replacement-lru-clock-lfu-skill. Use this tool when you need to optimize virtual memory management by implementing efficient page replacement algorithms, such as Least Recently Used (LRU) and Second-Chance Clock, to solve problems related to memory thrashing and page faults, with inputs including page access patterns and outputs being optimized page replacement decisions. It is particularly useful in systems with limited memory resources, where efficient memory management is crucial. The tool can be integrated into existing systems via git.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-page-replacement-lru-clock-lfu-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-page-replacement-lru-clock-lfu-skill

## Description

Virtual memory page replacement algorithms: Least Recently Used (LRU) and Second-Chance Clock algorithm.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## 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-page-replacement-lru-clock-lfu-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-page-replacement-lru-clock-lfu-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-page-replacement-lru-clock-lfu-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-page-replacement-lru-clock-lfu-skill/pull`

---
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