signal-analysis
Perform signal processing, rainflow cycle counting, and spectral analysis for fatigue and time series data. Use for analyzing stress time histories, computing FFT/PSD, extracting fatigue cycles (ASTM E1049-85), and batch processing OrcaFlex signals.
npx skills add majiayu000/claude-skill-registry --skill signal-analysis --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.
# Signal Analysis Skill Perform signal processing, rainflow cycle counting, and spectral analysis for fatigue assessment and time series characterization. ## Version Metadata ```yaml version: 1.0.0 python_min_version: '3.10' compatibility: tested_python: - '3.10' - '3.11' - '3.12' - '3.13' os: - Windows - Linux - macOS ``` ## Changelog ### [1.0.0] - 2026-01-07 **Added:** - Initial version metadata and dependency management - Semantic versioning support - Compatibility information for Python 3.10-3.13 **Changed:** - Enhanced skill documentation structure ## When to Use - Analyzing fatigue from stress/load time series - Computing rainflow cycles for damage calculation - FFT and power spectral density analysis - Frequency spectrum characterization - Batch processing OrcaFlex simulation signals - Time series conditioning and filtering - Converting time-domain data to frequency-domain ## Prerequisites - Python environment with `digitalmodel` package installed - Time series data in CSV, Excel, or OrcaFlex format - For OrcaFlex signals: completed .sim files ## Signal Processing Types ### 1. Rainflow Cycle Counting (ASTM E1049-85) Extract stress/load cycles for fatigue analysis using indus
- Version Metadata
- Changelog
- [1.0.0] - 2026-01-07
- When to Use
- Prerequisites
- Signal Processing Types
- 1. Rainflow Cycle Counting (ASTM E1049-85)
- 2. FFT Spectral Analysis
- 3. Power Spectral Density (Welch Method)
- 4. Time Series Conditioning
- 5. OrcaFlex Signal Batch Processing
- Python API
- Rainflow Cycle Counting
- Spectral Analysis
What does the signal-analysis skill do?
Perform signal processing, rainflow cycle counting, and spectral analysis for fatigue and time series data. Use for analyzing stress time histories, computing FFT/PSD, extracting fatigue cycles (ASTM E1049-85), and batch processing OrcaFlex signals.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill signal-analysis --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.