# omnicache-proxy

> omnicache-proxy — 13manmayarai-hash-omnicache-proxy. Use this tool when you need to accelerate agent loops and optimize costs for Large Language Models (LLMs) like OpenAI and Anthropic, as it provides zero-latency semantic caching to reduce bills by 40%-75%. It takes LLM queries as input and returns cached responses, minimizing redundant requests and costs. Ideal for applications with frequent LLM queries, such as chatbots or virtual assistants, to improve performance and reduce expenses.

Canonical page: https://skillsregistry.net/skills/13manmayarai-hash-omnicache-proxy  
JSON: https://api.skillsregistry.net/v1/skills/13manmayarai-hash-omnicache-proxy

## Description

⚡ Zero-latency semantic caching, agent loop accelerator & cost optimization gateway for LLMs. Slash OpenAI & Anthropic bills by 40%-75%.

## 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:** 2026-09-27

## Source

- **Source listing:** [GitHub](https://github.com/13manmayarai-hash/omnicache-proxy)

## 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": "13manmayarai-hash-omnicache-proxy"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/13manmayarai-hash-omnicache-proxy` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/13manmayarai-hash-omnicache-proxy/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