dls-particle-sizer
Dynamic Light Scattering skill for hydrodynamic size distribution and polydispersity analysis
npx skills add a5c-ai/babysitter --skill dls-particle-sizer --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.
# DLS Particle Sizer ## Purpose The DLS Particle Sizer skill provides dynamic light scattering analysis for nanoparticle hydrodynamic size determination, enabling rapid, non-destructive measurement of size distributions and stability assessment. ## Capabilities - Hydrodynamic diameter measurement - Polydispersity index (PDI) calculation - Size distribution analysis (intensity, volume, number) - Temperature-dependent measurements - Multi-angle DLS analysis - Particle concentration estimation ## Usage Guidelines ### DLS Measurement 1. **Sample Preparation** - Dilute to appropriate concentration - Filter to remove dust - Equilibrate temperature 2. **Data Analysis** - Use cumulants for monomodal samples - Apply CONTIN for multimodal - Report intensity-weighted Z-average 3. **Quality Metrics** - PDI < 0.1: Monodisperse - PDI 0.1-0.3: Narrow distribution - PDI > 0.3: Broad distribution ## Process Integration - Statistical Particle Size Distribution Analysis - Nanoparticle Synthesis Protocol Development - Nanoparticle Drug Delivery System Development ## Input Schema ```json { "sample_id": "string", "solvent": "string", "temperature": "number (C)", "refractive_index": "number", "viscosity"
- Purpose
- Capabilities
- Usage Guidelines
- DLS Measurement
- Process Integration
- Input Schema
- Output Schema
What does the dls-particle-sizer skill do?
Dynamic Light Scattering skill for hydrodynamic size distribution and polydispersity analysis
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill dls-particle-sizer --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.