colloidal-stability-analyzer
Colloidal stability assessment skill for evaluating nanoparticle dispersion stability through zeta potential, aggregation kinetics, and shelf-life prediction
Best use case
colloidal-stability-analyzer is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Colloidal stability assessment skill for evaluating nanoparticle dispersion stability through zeta potential, aggregation kinetics, and shelf-life prediction
Teams using colloidal-stability-analyzer 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/colloidal-stability-analyzer/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How colloidal-stability-analyzer Compares
| Feature / Agent | colloidal-stability-analyzer | 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?
Colloidal stability assessment skill for evaluating nanoparticle dispersion stability through zeta potential, aggregation kinetics, and shelf-life prediction
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
# Colloidal Stability Analyzer
## Purpose
The Colloidal Stability Analyzer skill provides comprehensive assessment of nanoparticle dispersion stability, enabling prediction of aggregation behavior, shelf-life estimation, and optimization of stabilization strategies through DLVO theory and experimental validation.
## Capabilities
- Zeta potential analysis
- DLVO theory-based stability prediction
- Aggregation kinetics modeling
- pH and ionic strength effects
- Steric stabilization assessment
- Shelf-life prediction algorithms
## Usage Guidelines
### Stability Assessment
1. **Zeta Potential Analysis**
- Measure at multiple pH values
- Determine isoelectric point
- Assess stability window (|zeta| > 30 mV)
2. **DLVO Theory Application**
- Calculate van der Waals attraction
- Estimate electrostatic repulsion
- Determine energy barrier height
3. **Shelf-Life Prediction**
- Monitor size over time
- Apply accelerated aging protocols
- Predict long-term stability
## Process Integration
- Nanoparticle Synthesis Protocol Development
- Nanomaterial Surface Functionalization Pipeline
- Nanoparticle Drug Delivery System Development
## Input Schema
```json
{
"nanoparticle_type": "string",
"size": "number (nm)",
"surface_chemistry": "string",
"dispersion_medium": "string",
"pH_range": {"min": "number", "max": "number"},
"ionic_strength": "number (mM)"
}
```
## Output Schema
```json
{
"zeta_potential": "number (mV)",
"stability_classification": "stable|marginally_stable|unstable",
"aggregation_rate": "number (nm/day)",
"predicted_shelf_life": "number (days)",
"optimization_recommendations": ["string"]
}
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