SAXS-WAXS Analyzer

SkillDev tools

Small/Wide Angle X-ray Scattering skill for nanostructure size, shape, and organization analysis

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.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the SAXS-WAXS Analyzer skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/nanotechnology/skills/saxs-waxs-analyzer/SKILL.md and read by ahel’s review.

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": []}
  }
}

Signals

GitHub stars: 2k
Forks: 112
Last commit: Sep 2026

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Item type: skill
Key: saxs-waxs-analyzer
Source: github.com/a5c-ai/babysitter

github.com/a5c-ai/babysitter