# genpark-radix-tree-kv-cache-prefix-caching-runtime-skill

> genpark-radix-tree-kv-cache-prefix-caching-runtime-skill — alphaparkinc-genpark-radix-tree-kv-cache-prefix-caching-runtime-skill. Use this tool when you need to optimize data retrieval and decoding performance in applications that rely on prefix caching, such as those using SGLang style decoding. It solves problems related to slow data access and decoding by utilizing a radix tree-based KV cache, providing fast and efficient prefix caching management. The tool takes input data and cache prefixes, and outputs optimized cache entries for rapid decoding and retrieval.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-radix-tree-kv-cache-prefix-caching-runtime-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-radix-tree-kv-cache-prefix-caching-runtime-skill

## Description

Radix tree KV cache prefix caching manager for fast decoding (SGLang style)

## 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/alphaparkinc/genpark-radix-tree-kv-cache-prefix-caching-runtime-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-radix-tree-kv-cache-prefix-caching-runtime-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-radix-tree-kv-cache-prefix-caching-runtime-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-radix-tree-kv-cache-prefix-caching-runtime-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