kinetic-modeler
Reaction kinetics modeling skill for parameter estimation, mechanism validation, and rate equation development
Profile →npx skills add a5c-ai/babysitter --skill kinetic-modeler --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.
# Kinetic Modeler Skill ## Purpose The Kinetic Modeler Skill develops and validates reaction kinetics models, performing parameter estimation from experimental data and supporting reactor design. ## Capabilities - Rate equation formulation (power law, LHHW, Eley-Rideal) - Parameter estimation via nonlinear regression - Arrhenius parameter calculation - Activation energy determination - Model discrimination (AIC, BIC criteria) - Confidence interval estimation - Reaction mechanism validation - Kinetic data analysis ## Usage Guidelines ### When to Use - Developing kinetic models - Estimating rate parameters - Validating reaction mechanisms - Supporting reactor design ### Prerequisites - Experimental data available - Proposed mechanism identified - Operating conditions characterized - Thermodynamic constraints known ### Best Practices - Use statistically valid data - Test multiple model forms - Validate with independent data - Report parameter uncertainties ## Process Integration This skill integrates with: - Kinetic Model Development - Reactor Design and Selection - Catalyst Evaluation and Optimization ## Configuration ```yaml kinetic-modeler: model-types: - power-law - langmuir-hinsh
- Purpose
- Capabilities
- Usage Guidelines
- When to Use
- Prerequisites
- Best Practices
- Process Integration
- Configuration
- Output Artifacts
What does the kinetic-modeler skill do?
Reaction kinetics modeling skill for parameter estimation, mechanism validation, and rate equation development
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill kinetic-modeler --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.