# flameox

> flameox — yoko368-flameox. Use this tool when you need to optimize application performance by identifying and resolving bottlenecks in code execution. Flameox provides runtime evidence to trace, profile, and debug hotspots in native code, GPU kernels, and inference stacks, helping agents solve performance issues and improve overall efficiency. It integrates with git, allowing for seamless version control and collaboration.

Canonical page: https://skillsregistry.net/skills/yoko368-flameox  
JSON: https://api.skillsregistry.net/v1/skills/yoko368-flameox

## Description

Runtime evidence that helps agents trace, profile, and burn down hotspots in application and native code, GPU kernels, and inference stacks.

## 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:** 2026-10-20

## Source

- **Source listing:** [GitHub](https://github.com/Yoko368/flameox)

## 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": "yoko368-flameox"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yoko368-flameox` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yoko368-flameox/pull`

---
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