Nanocatalyst Performance Analyzer

SkillDev tools

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

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

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 Nanocatalyst Performance Analyzer skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/nanotechnology/skills/nanocatalyst-performance-analyzer/SKILL.md and read by ahel’s review.

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

  1. Activity Assessment

    • Measure conversion vs time
    • Calculate TOF
    • Normalize to surface area
  2. Selectivity Analysis

    • Identify products
    • Calculate selectivities
    • Map reaction pathways
  3. 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 (%)"
  }
}

Signals

GitHub stars
2k
Forks
112
Last commit
Sep 2026
Advanced
Item type
skill
Key
nanocatalyst-performance-analyzer
Source
github.com/a5c-ai/babysitter