mpc-configurator
Model Predictive Control configuration skill for MPC model identification, tuning, and implementation
Profile →npx skills add a5c-ai/babysitter --skill mpc-configurator --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 ```yaml mpc-configurator: platforms: - DMCplus - RMPCT - Pavilion - Honeywell-RMPCT identification-methods: - step-response
- Purpose
- Capabilities
- Usage Guidelines
- When to Use
- Prerequisites
- Best Practices
- Process Integration
- Configuration
- Output Artifacts
What does the mpc-configurator skill do?
Model Predictive Control configuration skill for MPC model identification, tuning, and implementation
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill mpc-configurator --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.