Green Synthesis Evaluator
SkillDev toolsSustainability 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.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
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
-
Green Chemistry Metrics
- E-factor = mass waste / mass product
- Atom economy = MW product / MW reactants x 100%
- Process mass intensity (PMI)
-
Solvent Selection
- Use GSK solvent selection guide
- Prefer water, ethanol, or bio-solvents
- Avoid chlorinated and aromatic solvents
-
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
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