# hevy

> Use this tool when you need to query workout data, such as retrieving specific workouts, routines, or exercises, to inform fitness decisions or track progress. It solves problems related to accessing and managing workout information, providing valuable insights for users. The tool takes query inputs and returns relevant workout data as output, making it ideal for use cases where fitness data analysis is required.

Canonical page: https://skillsregistry.net/skills/mjrussell-hevy  
JSON: https://api.skillsregistry.net/v1/skills/mjrussell-hevy

## Description

Query workout data from Hevy including workouts, routines, exercises.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-20

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-05-20

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/mjrussell-hevy)

## 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": "mjrussell-hevy"
    }
  }
}
```

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