Kinetic Modeler Skill
SkillDev toolsReaction kinetics modeling skill for parameter estimation, mechanism validation, and rate equation development
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Kinetic Modeler Skill skill
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/chemical-engineering/skills/kinetic-modeler/SKILL.md and read by ahel’s review.
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
kinetic-modeler:
model-types:
- power-law
- langmuir-hinshelwood
- eley-rideal
- mechanistic
estimation-methods:
- least-squares
- maximum-likelihood
- bayesian
Output Artifacts
- Kinetic models
- Parameter estimates
- Confidence intervals
- Model validation reports
- Mechanism analysis
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
kinetic-modeler- Source
- github.com/a5c-ai/babysitter