green-synthesis-evaluator

Sustainability assessment skill for evaluating and designing environmentally friendly nanomaterial synthesis routes

509 stars

Best use case

green-synthesis-evaluator is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Sustainability assessment skill for evaluating and designing environmentally friendly nanomaterial synthesis routes

Teams using green-synthesis-evaluator 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/green-synthesis-evaluator/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/domains/science/nanotechnology/skills/green-synthesis-evaluator/SKILL.md"

Manual Installation

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

How green-synthesis-evaluator Compares

Feature / Agentgreen-synthesis-evaluatorStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Sustainability assessment skill for evaluating and designing environmentally friendly nanomaterial synthesis routes

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

# Green Synthesis Evaluator

## Purpose

The Green Synthesis Evaluator skill provides comprehensive sustainability assessment for nanomaterial synthesis routes, enabling design of environmentally friendly processes through green chemistry metrics and lifecycle analysis.

## Capabilities

- Green chemistry metrics calculation (E-factor, atom economy)
- Lifecycle assessment integration
- Bio-based precursor database
- Solvent sustainability scoring
- Energy consumption estimation
- Waste minimization strategies

## Usage Guidelines

### Sustainability Assessment

1. **Green Chemistry Metrics**
   - E-factor = mass waste / mass product
   - Atom economy = MW product / MW reactants x 100%
   - Process mass intensity (PMI)

2. **Solvent Selection**
   - Use GSK solvent selection guide
   - Prefer water, ethanol, or bio-solvents
   - Avoid chlorinated and aromatic solvents

3. **Energy Optimization**
   - Minimize reaction temperatures
   - Reduce processing times
   - Consider microwave/ultrasonic assistance

## Process Integration

- Green Synthesis Route Development
- Nanoparticle Synthesis Protocol Development

## Input Schema

```json
{
  "current_synthesis": {
    "precursors": ["string"],
    "solvents": ["string"],
    "temperatures": ["number"],
    "reagent_masses": ["number"]
  },
  "product_mass": "number (g)",
  "product_type": "string"
}
```

## Output Schema

```json
{
  "sustainability_metrics": {
    "e_factor": "number",
    "atom_economy": "number (%)",
    "pmi": "number"
  },
  "solvent_score": "number (1-10)",
  "green_alternatives": [{
    "change": "string",
    "improvement": "string",
    "feasibility": "high|medium|low"
  }],
  "overall_rating": "string"
}
```

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