scientific-toolkit-skill

1# Scientific Toolkit Skill
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3## Scope
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5Use this skill for科研计算 and software-assisted research:
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7- MATLAB/Octave scripts, debugging, refactoring, signal/image processing, FFT, filtering, matrix computation, simulation, and figure export.
8- Python scientific workflows with NumPy, SciPy, pandas, matplotlib, seaborn, scikit-learn, statsmodels, SymPy, and related tools.
9- Statistics, exploratory data analysis, sensor/time-series forecasting, optimization, discrete-event simulation, quantum optics/open quantum systems, materials data, and graph/network analysis.
10- Literature lookup, citation metadata, BibTeX, and reference verification when it supports coding or research analysis.
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12Use `research-writing-skill` for manuscript prose. Use `office-academic-skill` for Word/PPT deliverables.
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14## Domain Defaults
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16The user's field is光电信息科学与工程. Prefer examples and checks relevant to:
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18- Optics, optoelectronics, optical communication, optical sensing, fiber sensing, BOTDR/BOTDA, BGS, SPM, dispersion, noise, and deconvolution.
19- Signal processing, image processing, spectroscopy, detector data, sensor time series, calibration, and uncertainty.
20- MATLAB simulation and reproducible figure generation for论文/答辩.
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22Do not fabricate physical parameters, material constants, software menu operations, experimental results, or paper conclusions. When uncertain, ask for the source file or mark the assumption.
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24## General Workflow
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