Babysitter nanocatalyst-performance-analyzer

Nanocatalysis skill for evaluating catalytic activity, selectivity, and stability of nanomaterial catalysts

install

source · Clone the upstream repo

git clone https://github.com/a5c-ai/babysitter

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/domains/science/nanotechnology/skills/nanocatalyst-performance-analyzer" ~/.claude/skills/a5c-ai-babysitter-nanocatalyst-performance-analyzer && rm -rf "$T"

manifest: library/specializations/domains/science/nanotechnology/skills/nanocatalyst-performance-analyzer/SKILL.md

Nanocatalyst Performance Analyzer

Purpose

The Nanocatalyst Performance Analyzer skill provides comprehensive evaluation of nanomaterial catalyst performance, enabling systematic assessment of activity, selectivity, and stability for catalytic applications.

Capabilities

Turnover frequency (TOF) calculation
Selectivity analysis
Activation energy determination
Stability and recyclability testing
Surface area normalization (BET)
Reaction mechanism investigation

Usage Guidelines

Catalyst Evaluation

Activity Assessment
- Measure conversion vs time
- Calculate TOF
- Normalize to surface area
Selectivity Analysis
- Identify products
- Calculate selectivities
- Map reaction pathways
Stability Testing
- Run recyclability tests
- Monitor deactivation
- Characterize spent catalyst

Process Integration

Nanocatalyst Development and Performance Optimization

Input Schema

{
  "catalyst_id": "string",
  "reaction": "string",
  "reactants": [{"name": "string", "concentration": "number"}],
  "temperature": "number (C)",
  "pressure": "number (atm)",
  "catalyst_mass": "number (mg)"
}

Output Schema

{
  "activity": {
    "conversion": "number (%)",
    "tof": "number (1/s)",
    "specific_activity": "number (mol/g/s)"
  },
  "selectivity": [{
    "product": "string",
    "selectivity": "number (%)"
  }],
  "kinetics": {
    "activation_energy": "number (kJ/mol)",
    "rate_law": "string"
  },
  "stability": {
    "cycles_tested": "number",
    "activity_retention": "number (%)"
  }
}