Can it run my existing analysis scripts?

Absolutely. It can execute scripts using 'uv run', add necessary packages, or write new Python scripts to calculate metrics from your raw data files.

Does this skill support LaTeX for formulas?

Yes, the skill uses LaTeX notation for isotopic symbols and complex mathematical formulas in both single-line and multi-line formats within the generated reports.

What language are the reports written in?

By default, this skill generates comprehensive reports in Simplified Chinese, following specific professional translation standards defined in the project references.

How does it handle data verification?

It inspects raw data headers, verifies units, and cross-references calculated results against theoretical expectations found in the project's references directory.

Scientific Analysis & Reporting

Name: Scientific Analysis & Reporting
Author: ryanchen01

byryanchen01

データサイエンスとML

Generates structured scientific research reports by analyzing raw data, verifying physical models, and calculating quantitative performance metrics.

概要

This skill enables Claude to function as a specialized scientific researcher within your repository. It systematically maps project domains, identifies physical equations, and extracts data from local files or by executing Python scripts via uv. By cross-referencing findings with industry standards and theoretical references, it produces professional-grade reports in Simplified Chinese, complete with LaTeX formulas and Markdown tables. It is ideal for researchers and engineers needing automated, high-fidelity documentation of experimental results, system performance, and algorithmic comparisons.

主な機能

Live script execution and metric calculation using Python environments
Quantitative data extraction from CSVs and simulation outputs
0 GitHub stars
Structured report generation with LaTeX formula support
Automated project domain mapping and dependency scanning
Professional Simplified Chinese documentation with industry terminology

ユースケース

Comparing experimental methodology results against NEMA or IEC standards
Analyzing sensor stability, signal-to-noise ratios, and performance metrics
Documenting performance trade-offs between different algorithm versions

概要

主な機能

Live script execution and metric calculation using Python environments
Quantitative data extraction from CSVs and simulation outputs
0 GitHub stars
Structured report generation with LaTeX formula support
Automated project domain mapping and dependency scanning
Professional Simplified Chinese documentation with industry terminology

ユースケース

Comparing experimental methodology results against NEMA or IEC standards
Analyzing sensor stability, signal-to-noise ratios, and performance metrics
Documenting performance trade-offs between different algorithm versions