Colloidal Stability Analyzer
SkillDev toolsColloidal stability assessment skill for evaluating nanoparticle dispersion stability through zeta potential, aggregation kinetics, and shelf-life prediction
Use Colloidal Stability Analyzer in Claude, ChatGPT or Ahel Desktop
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Then ask your AI: use the Colloidal Stability Analyzer skill
Details
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.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/nanotechnology/skills/colloidal-stability-analyzer/SKILL.md and read by Ahel’s review.
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
-
Zeta Potential Analysis
- Measure at multiple pH values
- Determine isoelectric point
- Assess stability window (|zeta| > 30 mV)
-
DLVO Theory Application
- Calculate van der Waals attraction
- Estimate electrostatic repulsion
- Determine energy barrier height
-
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
{
"nanoparticle_type": "string",
"size": "number (nm)",
"surface_chemistry": "string",
"dispersion_medium": "string",
"pH_range": {"min": "number", "max": "number"},
"ionic_strength": "number (mM)"
}
Output Schema
{
"zeta_potential": "number (mV)",
"stability_classification": "stable|marginally_stable|unstable",
"aggregation_rate": "number (nm/day)",
"predicted_shelf_life": "number (days)",
"optimization_recommendations": ["string"]
}
Signals
- GitHub stars
- 2k
- Forks
- 113
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
colloidal-stability-analyzer- Source
- github.com/a5c-ai/babysitter