# muscle-gain

> muscle-gain — jhillin8-muscle-gain. Use this tool when you need to monitor and optimize your muscle-building progress, tracking weight progression and protein intake to achieve fitness goals. It solves problems of inconsistent workout routines and inadequate nutrition, providing a structured approach to muscle gain. The tool accepts inputs such as workout data and nutritional information, outputting personalized tracking and progression analysis.

Canonical page: https://skillsregistry.net/skills/jhillin8-muscle-gain  
JSON: https://api.skillsregistry.net/v1/skills/jhillin8-muscle-gain

## Description

Track muscle building with weight progression, protein tracking.

## 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:** 2026-09-16

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/jhillin8-muscle-gain)

## 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": "jhillin8-muscle-gain"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jhillin8-muscle-gain` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jhillin8-muscle-gain/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