green-synthesis-evaluator
Sustainability assessment skill for evaluating and designing environmentally friendly nanomaterial synthesis routes
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
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/green-synthesis-evaluator/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How green-synthesis-evaluator Compares
| Feature / Agent | green-synthesis-evaluator | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/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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