# io.github.darshjoshi/pitwall

> Use this tool when you need to simulate a Formula 1 racing experience, providing real-time strategic advice and data analysis to inform racing decisions. It solves problems related to optimizing race performance, such as pit stop strategy and fuel management, by processing inputs like race data and driver preferences. Outputs include personalized recommendations and tactical guidance to enhance the racing experience.

Canonical page: https://skillsregistry.net/skills/darshjoshi-pitwall  
JSON: https://api.skillsregistry.net/v1/skills/darshjoshi-pitwall

## Description

Turn Claude into your F1 race engineer.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/y2gwxt9dna)
- **Repository:** <https://github.com/darshjoshi/pitwall>

## 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": "darshjoshi-pitwall"
    }
  }
}
```

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