# NONMEM Pharmacometrics

> Use this tool when you need to streamline pharmacometric modeling workflows and analyze complex data sets. It solves problems related to model estimation, diagnostics, and simulation, providing inputs such as parameter estimates and control streams, and outputs like dataset summaries and simulation results. Ideal for use in pharmacometrics and pharmaceutical research contexts, where efficient model analysis and interpretation are crucial.

Canonical page: https://skillsregistry.net/skills/gh-sueinchoi-nonmem-pharmacometrics  
JSON: https://api.skillsregistry.net/v1/skills/gh-sueinchoi-nonmem-pharmacometrics

## Description

Provides structured access to NONMEM pharmacometric modeling workflows in three phases: parsing and analysis (parameter estimates, termination status, control stream parsing, dataset summaries, multi-run comparison), execution and diagnostics (run submission, monitoring, VPC and bootstrap via PsN), and simulation (mrgsolve model translation and PK simulations). Includes prompt templates for model review, interpretation, troubleshooting, and methods section drafting.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/gh-sueinchoi-nonmem-pharmacometrics)
- **Repository:** <https://github.com/sueinchoi/nonmem-mcp-server>

## 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": "gh-sueinchoi-nonmem-pharmacometrics"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gh-sueinchoi-nonmem-pharmacometrics` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gh-sueinchoi-nonmem-pharmacometrics/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