# code-cache

> code-cache — ryx2-code-cache. Use this tool when you need to optimize AI agent performance by reducing redundant code execution and minimizing computational overhead. The code-cache provides semantic code caching, solving problems related to repeated code processing and improving response times. It takes in code snippets as input and outputs cached results, ideal for use cases where AI agents require fast and efficient code execution.

Canonical page: https://skillsregistry.net/skills/ryx2-code-cache  
JSON: https://api.skillsregistry.net/v1/skills/ryx2-code-cache

## Description

Semantic code caching for AI agents.

## 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:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/ryx2-code-cache)

## 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": "ryx2-code-cache"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ryx2-code-cache` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ryx2-code-cache/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