# genpark-prompt-semantic-cache-similarity-dedup-skill

> genpark-prompt-semantic-cache-similarity-dedup-skill — alpha-park-genpark-prompt-semantic-cache-similarity-dedup-skill. Use this tool when you need to optimize AI prompt processing by reducing duplicate queries through semantic caching and similarity analysis. It solves problems of inefficient query repetition and improves system performance by utilizing cosine similarity threshold lookup and hit/miss metrics. The skill takes in prompts as input and outputs cached results or new query responses, with a TTL cache expiration mechanism for dynamic cache management.

Canonical page: https://skillsregistry.net/skills/alpha-park-genpark-prompt-semantic-cache-similarity-dedup-skill  
JSON: https://api.skillsregistry.net/v1/skills/alpha-park-genpark-prompt-semantic-cache-similarity-dedup-skill

## Description

GenPark AI Agent Skill - Semantic prompt cache, cosine similarity threshold lookup, hit/miss metrics, and TTL cache expiration.

## Trust

- **Trust score (0–1):** 1.00
- **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/Alpha-Park/genpark-prompt-semantic-cache-similarity-dedup-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": "alpha-park-genpark-prompt-semantic-cache-similarity-dedup-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-prompt-semantic-cache-similarity-dedup-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-prompt-semantic-cache-similarity-dedup-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