# Transition

> Use this tool when you need to create personalized triathlon training plans and track athlete performance. It solves problems such as generating effective workouts, monitoring fitness metrics, and adjusting training plans based on athlete progress. The tool takes in athlete data and goals as input and outputs daily workouts, weekly plans, and performance metrics, making it ideal for endurance coaches and athletes seeking customized training guidance.

Canonical page: https://skillsregistry.net/skills/transition  
JSON: https://api.skillsregistry.net/v1/skills/transition

## Description

Connects to the Transition coaching platform to deliver personalized swim, bike, and run training. Provides tools for retrieving daily workouts and weekly plans, triggering adaptive plan adjustments, accessing fitness metrics like CTL/ATL/TSB, generating sport-specific workouts, and conversing with an AI endurance coach. Exposes athlete profile, recent activity, and performance data as resources.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-05-05

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/transition)
- **Repository:** <https://github.com/nftechie/transition-mcp/tree/HEAD/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": "transition"
    }
  }
}
```

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