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green-synthesis-evaluator

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

QUICK START

How to use this skill

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  2. Copy the prompt below and paste it into your agent.
  3. Review the proposed files and risks before you approve installation.
Prompt to paste
I want to install this Agent Skill for this project in Codex.

Source SKILL.md: https://github.com/a5c-ai/babysitter/blob/HEAD/library/specializations/domains/science/nanotechnology/skills/green-synthesis-evaluator/SKILL.md

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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

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

Output Schema

{
  "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"
}