Agent skill

nanocatalyst-performance-analyzer

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

Stars 514
Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/science/nanotechnology/skills/nanocatalyst-performance-analyzer

Metadata

Additional technical details for this skill

phase
6
domain
science
category
applications
priority
medium
specialization
nanotechnology
tools libraries
[
    "Reaction kinetics analyzers",
    "BET surface area tools"
]

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

  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

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

Output Schema

json
{
  "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 (%)"
  }
}

Expand your agent's capabilities with these related and highly-rated skills.

a5c-ai/babysitter

gsd-tools

Central utility skill for GSD operations. Provides config parsing, slug generation, timestamps, path operations, and orchestrates calls to other specialized skills. Acts as the unified entry point that the original gsd-tools.cjs provided via its lib/ modules (commands, config, core, init).

514 31
Explore
a5c-ai/babysitter

model-profile-resolution

Resolve model profile (quality/balanced/budget) at orchestration start and map agents to specific models. Enables cost/quality tradeoffs by selecting appropriate AI models for each agent role.

514 31
Explore
a5c-ai/babysitter

verification-suite

Plan structure validation, phase completeness checks, reference integrity verification, and artifact existence confirmation. Provides the structured verification layer ensuring GSD artifacts are well-formed and complete.

514 31
Explore
a5c-ai/babysitter

state-management

STATE.md reading, writing, and field-level updates. Provides cross-session state persistence via .planning/STATE.md with structured fields for current task, completed phases, blockers, decisions, and quick tasks.

514 31
Explore
a5c-ai/babysitter

git-integration

Git commit patterns, formats, and conventions for GSD methodology. Provides atomic commits per task, structured commit messages, planning file commits, branch management, and milestone tag operations.

514 31
Explore
a5c-ai/babysitter

frontmatter-parsing

YAML frontmatter parsing and manipulation for .planning/ documents. Provides read, write, update, query, and validation operations on frontmatter blocks in GSD markdown artifacts.

514 31
Explore

Didn't find tool you were looking for?

Be as detailed as possible for better results