numpy-fft
NumPy's fft module provides routines for computing Discrete Fourier Transforms (DFT). It is widely used for signal processing, image frequency analysis, and solving differential equations in the frequ
npx skills add majiayu000/claude-skill-registry --skill numpy-fft-cuba6112-skillfactory-2 --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
--- name: numpy-fft description: Discrete Fourier Transform routines for spectral analysis, signal filtering, and frequency-domain operations. Triggers: fft, fourier transform, spectral analysis, rfft, fftshift, ifft. --- ## Overview NumPy's `fft` module provides routines for computing Discrete Fourier Transforms (DFT). It is widely used for signal processing, image frequency analysis, and solving differential equations in the frequency domain. ## When to Use - Analyzing the frequency components of a time-series signal. - Applying low-pass or high-pass filters to digital signals. - Accelerating convolutions by performing them in the frequency domain. - Visualizing centered frequency spectra in 2D image processing. ## Decision Tree 1. Is your input purely real? - Use `np.fft.rfft` for better efficiency and halved output size. 2. Do you want the 0Hz component in the center of the plot? - Use `np.fft.fftshift` on the transform result. 3. Performance is slow? - Zero-pad input to a power of 2 (e.g., 256, 1024). ## Workflows 1. **Frequency Domain Analysis** - Take a real-valued signal 'a'. - Compute the positive frequencies using `np.fft.rfft(a)`. - Generate matching frequency bins with
- Overview
- When to Use
- Decision Tree
- Workflows
- Non-Obvious Insights
- Evidence
- Scripts
- Dependencies
- References
What does the numpy-fft skill do?
NumPy's fft module provides routines for computing Discrete Fourier Transforms (DFT). It is widely used for signal processing, image frequency analysis, and solving differential equations in the frequ
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill numpy-fft-cuba6112-skillfactory-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.