a5c-ai/saxs-waxs-analyzer
library/specializations/domains/science/nanotechnology/skills/saxs-waxs-analyzer/SKILL.md
Small/Wide Angle X-ray Scattering skill for nanostructure size, shape, and organization analysis
$ install --global
skillsauthnpx skillsauth add a5c-ai/babysitter saxs-waxs-analyzerInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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SKILL.md
- name:
- saxs-waxs-analyzer
- description:
- Small/Wide Angle X-ray Scattering skill for nanostructure size, shape, and organization analysis
- specialization:
- nanotechnology
- domain:
- science
- category:
- spectroscopy
- priority:
- medium
- phase:
- 6
SAXS-WAXS Analyzer
Purpose
The SAXS-WAXS Analyzer skill provides structural characterization of nanomaterials through small and wide angle X-ray scattering, enabling determination of size, shape, and spatial organization at the nanoscale.
Capabilities
- SAXS data reduction and analysis
- Form factor fitting
- Guinier and Kratky analysis
- Pair distance distribution function
- WAXS crystallinity assessment
- Self-assembly structure determination
Usage Guidelines
SAXS Analysis
-
Data Reduction
- Subtract background
- Apply transmission correction
- Merge multiple detector regions
-
Form Factor Analysis
- Fit to sphere, cylinder, or other models
- Extract size distribution
- Determine shape parameters
-
Structural Analysis
- Calculate P(r) function
- Determine Rg from Guinier
- Assess folding from Kratky
Process Integration
- Statistical Particle Size Distribution Analysis
- Directed Self-Assembly Process Development
- Structure-Property Correlation Analysis
Input Schema
{
"data_file": "string",
"technique": "saxs|waxs|combined",
"analysis_type": "guinier|form_factor|pdf",
"expected_shape": "sphere|cylinder|disk|ellipsoid"
}
Output Schema
{
"guinier": {
"Rg": "number (nm)",
"I0": "number",
"qRg_range": "string"
},
"form_factor": {
"model": "string",
"radius": "number (nm)",
"polydispersity": "number",
"chi_squared": "number"
},
"pdf": {
"Dmax": "number (nm)",
"p_r_function": {"r": [], "p": []}
}
}
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