# Strava (ArjanLig)

> Use this tool when you need to analyze and optimize your fitness performance, as it provides real-time access to Strava data through 10 specialized tools covering training load, activity details, and workout quality. It solves problems such as tracking progress, planning workouts, and maintaining gear for athletes engaging in cycling, running, and other Strava-tracked sports. It takes Strava account data as input and outputs detailed performance metrics and recommendations for improvement.

Canonical page: https://skillsregistry.net/skills/arjanlig-strava  
JSON: https://api.skillsregistry.net/v1/skills/arjanlig-strava

## Description

Provides real-time access to Strava fitness data through 10 specialized tools covering training load analysis (ATL, CTL, TSB), weekly training plans, activity details, gear maintenance tracking, power curve analysis, heart rate zone distribution, and workout quality assessment. Supports cycling, running, and all Strava-tracked sports.

## Trust

- **Trust score (0–1):** 0.86
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/arjanlig-strava)
- **Repository:** <https://github.com/arjanlig/strava-mcp>

## 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": "arjanlig-strava"
    }
  }
}
```

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