# peloton-stats

> peloton-stats — niemesrw-peloton-stats. Use this tool when you need to track and analyze your Peloton cycling performance, solving problems of manual data collection and providing insights into workout progress. It takes Peloton workout data as input and outputs detailed statistics, enabling users to monitor their improvement over time. Ideal for fitness enthusiasts and athletes seeking to optimize their training routines.

Canonical page: https://skillsregistry.net/skills/niemesrw-peloton-stats  
JSON: https://api.skillsregistry.net/v1/skills/niemesrw-peloton-stats

## Description

Fetch and report Peloton cycling workout statistics.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-18

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-13

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/niemesrw-peloton-stats)

## 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": "niemesrw-peloton-stats"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/niemesrw-peloton-stats` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/niemesrw-peloton-stats/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