pid-tuner
PID controller tuning skill for loop optimization using various tuning methods and performance criteria
Profile →npx skills add a5c-ai/babysitter --skill pid-tuner --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.
# PID Tuner Skill ## Purpose The PID Tuner Skill optimizes PID controller parameters using various tuning methods to achieve desired control performance and robustness. ## Capabilities - Process identification (step tests, relay) - First-order plus dead-time (FOPDT) modeling - Tuning methods (IMC, Lambda, Cohen-Coon, Ziegler-Nichols) - Performance criteria optimization (IAE, ISE, ITAE) - Robustness analysis - Loop interaction assessment - Tuning for various objectives (setpoint, disturbance) - Bumpless transfer configuration ## Usage Guidelines ### When to Use - Tuning new control loops - Retuning underperforming loops - Optimizing control performance - Commissioning control systems ### Prerequisites - Process in stable operation - Loop components commissioned - Process model or test data available - Performance criteria defined ### Best Practices - Start with conservative tuning - Test in simulation first - Validate robustness - Document tuning rationale ## Process Integration This skill integrates with: - PID Controller Tuning - Control Strategy Development - Process Startup Procedure Development ## Configuration ```yaml pid-tuner: tuning-methods: - IMC - lambda - cohen-coon - zi
- Purpose
- Capabilities
- Usage Guidelines
- When to Use
- Prerequisites
- Best Practices
- Process Integration
- Configuration
- Output Artifacts
What does the pid-tuner skill do?
PID controller tuning skill for loop optimization using various tuning methods and performance criteria
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill pid-tuner --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.