smithery/yrlf

saxs-physics

A lightweight, physics-based toolkit for analyzing Small-Angle X-ray Scattering (SAXS) data. Calculates Rg, I(0), and Crystallinity Index without bloat.

Installation

$ npx skills add smithery/yrlf --skill saxs-physics

Similar popular skills

Related neighbors and high-traction skills in the same topics — useful to compare before installing.

More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,437 B
  • docs SUMMARY.md 172 B

History

  1. First recorded snapshot · 0 installs

SKILL.md

SAXS Physics Toolkit

This skill provides a minimalist, pure-Python library for extracting physical parameters from SAXS data. Unlike complex pipelines, these scripts focus solely on the mathematical analysis.

Core Capabilities

  1. Guinier Analysis: Extract Radius of Gyration ($R_g$) and forward scattering $I(0)$.
  2. Crystallinity Analysis: Detect Bragg peaks and calculate Crystallinity Index (CI).
  3. Oligomer Wrapper: Simple interface to ATSAS tools (requires local installation).

Usage

1. Batch Analysis (CLI)

Run the batch analyzer on a directory of .dat files:

python skill/saxs_physics/scripts/analyze_batch.py /path/to/data --out results.csv

2. Library Usage (Python)

You can import the math functions directly in your own scripts:

from skill.saxs_physics.scripts.utils import read_dat
from skill.saxs_physics.scripts.saxs_math import calculate_guinier

q, I, err = read_dat("sample.dat")
res = calculate_guinier(q, I)
print(f"Rg = {res['Rg']} A")

Structure

  • scripts/saxs_math.py: Pure numpy implementation of physics equations.
  • scripts/atsas_wrapper.py: Minimal wrapper for oligomer.exe.
  • scripts/analyze_batch.py: CLI tool for bulk processing.