Agent skill
green-synthesis-evaluator
Sustainability assessment skill for evaluating and designing environmentally friendly nanomaterial synthesis routes
Install this agent skill to your Project
npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/science/nanotechnology/skills/green-synthesis-evaluator
Metadata
Additional technical details for this skill
- phase
- 6
- domain
- science
- category
- synthesis-materials
- priority
- medium
- specialization
- nanotechnology
- tools libraries
-
[ "LCA tools", "Green chemistry databases", "Sustainability metrics calculators" ]
SKILL.md
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
-
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"
}
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