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Spectral-Analysis
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FluidSim CFD Framework
fluidsim
K-Dense-AI/claude-scientific-skills
461
FluidSim is a Python-based CFD framework offering pseudospectral solvers (2D/3D Navier-Stokes, shallow water, stratified flows) with FFT, MPI, Pythran/Transonic acceleration, and rich output analysis for turbulence or geophysical studies.
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Deepfake Audio Detection for Vishing Attacks
detecting-deepfake-audio-in-vishing-attacks
mukul975/Anthropic-Cybersecurity-Skills
353
This skill detects AI-generated deepfake audio used in voice phishing (vishing) attacks. It functions by extracting critical spectral features (including MFCCs, spectral centroid, and zero-crossing rate) and passing them through advanced machine learning models (like Random Forest and Gradient Boosting). The system supports batch forensic analysis, provides confidence scores, and generates detailed reports to verify the authenticity of recorded voice calls, making it essential for cybersecurity incident response and fraud investigation.
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Mass Spectra Analysis and Identification
matchms
K-Dense-AI/scientific-agent-skills
486
Matchms is an open-source Python library designed for comprehensive mass spectrometry data processing. It handles spectrum comparison, calculates various similarity scores (like cosine and modified cosine), and aids in identifying unknown compounds. It is highly valuable for metabolomics and spectral library searching pipelines.
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