# ai.perfloop/perfloop

> ai.perfloop/perfloop — ai-perfloop-perfloop. Use this tool when you need to optimize your code's performance with automated pull requests that ensure proven enhancements. It solves problems of manual performance tuning, saving time and reducing errors, by providing always-on engineering for your codebase. The tool accepts your code as input and outputs optimized, merge-ready pull requests.

Canonical page: https://skillsregistry.net/skills/ai-perfloop-perfloop  
JSON: https://api.skillsregistry.net/v1/skills/ai-perfloop-perfloop

## Description

Always-on performance engineering for your own code: proven pull requests, the merge stays yours.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Updated:** 2026-09-12

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.perfloop%2Fperfloop)

## Use it

MCP endpoint published by the skill: `https://app.perfloop.ai/mcp`

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": "ai-perfloop-perfloop"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-perfloop-perfloop` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-perfloop-perfloop/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