# arccos-golf

> Use this tool when you need to analyze golf performance data to gain insights into your game, including club distances and strokes gained metrics. It solves problems related to identifying areas of improvement and tracking progress over time, providing outputs such as scoring patterns and performance metrics. Ideal for golfers seeking to refine their technique and optimize their strategy, this tool accepts golf performance data as input and generates actionable analytics.

Canonical page: https://skillsregistry.net/skills/pfrederiksen-arccos-golf  
JSON: https://api.skillsregistry.net/v1/skills/pfrederiksen-arccos-golf

## Description

Analyze Arccos Golf performance data including club distances, strokes gained metrics, scoring patterns.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** monitoring
- **Updated:** 2026-04-22

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/pfrederiksen-arccos-golf)

## 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": "pfrederiksen-arccos-golf"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pfrederiksen-arccos-golf` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pfrederiksen-arccos-golf/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