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mpc-configurator

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Model Predictive Control configuration skill for MPC model identification, tuning, and implementation

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How to use this skill

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  1. Open your project in Codex.
  2. Copy the prompt below and paste it into your agent.
  3. Review the proposed files and risks before you approve installation.
Prompt to paste
I want to install this Agent Skill for this project in Codex.

Source SKILL.md: https://github.com/a5c-ai/babysitter/blob/HEAD/library/specializations/domains/science/chemical-engineering/skills/mpc-configurator/SKILL.md

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First, summarize what it does, its dependencies, license status if identifiable, and any risks. Show the exact files you propose to add under .agents/skills/mpc-configurator/. Do not write files or run scripts until I approve.

After I approve, install the complete skill folder, including required referenced files, into that project location. Verify it is discoverable, then tell me its actual invocation name and how to use it. Do not claim it is installed until you have verified it.

Copying this prompt does not install or run the skill. Review third-party files before use. Codex skill guide

MPC Configurator Skill

Purpose

The MPC Configurator Skill supports Model Predictive Control implementation including model identification, controller configuration, and performance tuning.

Capabilities

  • Step test design and execution
  • Dynamic model identification
  • MPC model validation
  • CV/MV/DV selection
  • Constraint configuration
  • Objective function tuning
  • Prediction/control horizon selection
  • Move suppression tuning
  • Performance monitoring

Usage Guidelines

When to Use

  • Implementing new MPC applications
  • Retuning existing MPC controllers
  • Identifying process models
  • Optimizing MPC performance

Prerequisites

  • Regulatory control stable
  • Step test data available
  • Process constraints identified
  • Economic objectives defined

Best Practices

  • Ensure quality step test data
  • Validate models thoroughly
  • Start with conservative tuning
  • Monitor controller performance

Process Integration

This skill integrates with:

  • Model Predictive Control Implementation
  • Control Strategy Development
  • PID Controller Tuning

Configuration

mpc-configurator:
  platforms:
    - DMCplus
    - RMPCT
    - Pavilion
    - Honeywell-RMPCT
  identification-methods:
    - step-response
    - subspace
    - prediction-error

Output Artifacts

  • Process models
  • Controller configuration
  • Tuning parameters
  • Validation reports
  • Performance metrics