nanocatalyst-performance-analyzer

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

509 stars

Best use case

nanocatalyst-performance-analyzer is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

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

Teams using nanocatalyst-performance-analyzer should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/nanocatalyst-performance-analyzer/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/domains/science/nanotechnology/skills/nanocatalyst-performance-analyzer/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/nanocatalyst-performance-analyzer/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How nanocatalyst-performance-analyzer Compares

Feature / Agentnanocatalyst-performance-analyzerStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

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

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# 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 (%)"
  }
}
```

Related Skills

web-performance

509
from a5c-ai/babysitter

Core Web Vitals optimization, Lighthouse audits, and performance monitoring.

terraform-analyzer

509
from a5c-ai/babysitter

Specialized skill for analyzing Terraform configurations. Supports parsing, security scanning (tfsec, checkov), cost estimation (infracost), drift detection, and plan visualization across AWS, Azure, and GCP.

performance-profiler

509
from a5c-ai/babysitter

Profile application performance including CPU, memory, and flame graph generation

db-query-analyzer

509
from a5c-ai/babysitter

Analyze database query performance with execution plans and index recommendations

code-complexity-analyzer

509
from a5c-ai/babysitter

Analyze code complexity metrics including cyclomatic complexity, code smells, and technical debt

cloudformation-analyzer

509
from a5c-ai/babysitter

Validate and analyze AWS CloudFormation templates for security and best practices

semantic-code-analyzer

509
from a5c-ai/babysitter

LLM-powered semantic analysis of code diffs to detect business-logic trojans

sast-analyzer

509
from a5c-ai/babysitter

Static Application Security Testing orchestration and analysis. Execute Semgrep, Bandit, ESLint security plugins, CodeQL, and other SAST tools. Parse, prioritize, and deduplicate findings across multiple tools with remediation guidance.

crypto-analyzer

509
from a5c-ai/babysitter

Cryptographic implementation analysis and validation for encryption algorithms, key sizes, and certificate management

semver-analyzer

509
from a5c-ai/babysitter

Analyze code changes and determine semantic version bumps. Detect breaking changes automatically, suggest version bump (major/minor/patch), generate changelog entries, and validate version consistency.

performance-benchmark-suite

509
from a5c-ai/babysitter

SDK performance benchmarking and regression detection

api-diff-analyzer

509
from a5c-ai/babysitter

Compare API specifications to detect breaking changes. Compare OpenAPI spec versions, categorize changes by severity, generate migration guides, and block breaking changes in CI.