Green Synthesis Evaluator

SkillDev tools

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

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 Green Synthesis Evaluator 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/green-synthesis-evaluator/SKILL.md and read by ahel’s review.

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"
}

Signals

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