Individual skill
spectral-analysis
Frequency-domain analysis — FFT, power spectral density (Welch/periodogram), spectrograms, wavelet transforms, and coherence. Use for any signal with periodic, quasi-periodic, or transient frequency content in physics data.
backend/cli/skills/physics/spectral-analysis/SKILL.md
Source commit a08e0ad0ad3d6448123039ee4659163eb2e35d99
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 2, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 4,353
- Repository last updated
- Nov 6, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent Repository topic
- ai Repository topic
- bun Repository topic
- cli Repository topic
- llm Repository topic
- ml Repository topic
- open-source Repository topic
- research Repository topic
- science Repository topic
- ai-agent Repository topic
- fft Declared skill tag
- spectral-analysis Declared skill tag
- psd Declared skill tag
- wavelets Declared skill tag
- signal-processing Declared skill tag
- frequency Declared skill tag
- physics Declared skill tag
- writing Derived category
- data Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
Read excerpt
# Spectral Analysis
## Overview
Extract frequency content from physics signals using FFT, power spectral density estimation, spectrograms, and wavelet transforms. Covers stationary and non-stationary signals.
## When to Use
- Finding oscillation frequencies in time-series data
- Computing power spectra of turbulence, vibrations, or wave data
- Detecting transient features (spectrograms, wavelets)
- Filtering signals (low-pass, band-pass, notch)
- Cross-spectral analysis and coherence between signals
