contact-angle-analyzer
Wettability analysis skill for surface energy characterization and hydrophobicity/hydrophilicity assessment
npx skills add a5c-ai/babysitter --skill contact-angle-analyzer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Contact Angle Analyzer ## Purpose The Contact Angle Analyzer skill provides comprehensive wettability analysis for nanomaterial surfaces, enabling determination of surface energy components and characterization of hydrophobic/hydrophilic properties. ## Capabilities - Static contact angle measurement - Dynamic advancing/receding angles - Surface energy calculation (Owens-Wendt, van Oss) - Wilhelmy plate analysis - Surface roughness correlation - Superhydrophobic/superhydrophilic assessment ## Usage Guidelines ### Wettability Analysis 1. **Contact Angle Measurement** - Use consistent droplet volume (2-5 uL) - Allow equilibration before measurement - Report average of multiple measurements 2. **Surface Energy Calculation** - Use multiple probe liquids - Apply Owens-Wendt for dispersive/polar - Use van Oss for acid-base analysis 3. **Surface Classification** - Hydrophilic: theta < 90 degrees - Hydrophobic: theta > 90 degrees - Superhydrophobic: theta > 150 degrees ## Process Integration - Nanomaterial Surface Functionalization Pipeline - Thin Film Deposition Process Optimization ## Input Schema ```json { "sample_id": "string", "probe_liquids": ["water", "diiodomethane", "formamide"],
- Purpose
- Capabilities
- Usage Guidelines
- Wettability Analysis
- Process Integration
- Input Schema
- Output Schema
What does the contact-angle-analyzer skill do?
Wettability analysis skill for surface energy characterization and hydrophobicity/hydrophilicity assessment
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill contact-angle-analyzer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.