td-dfft
OfficialAnalyze time series with Fourier transforms.
Authorteradata-labs
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the process of performing Discrete Fourier Transforms (DFT) on time-series data, enabling frequency domain analysis for signal processing and pattern detection.
Core Features & Use Cases
- Automated Preprocessing: Handles data cleaning, centering, and formatting for DFT.
- Frequency Domain Analysis: Identifies dominant frequencies, analyzes power spectrum, and interprets results.
- Use Case: Analyze sensor data to detect cyclical patterns or diagnose issues in machinery by identifying the underlying frequencies present in the signal.
Quick Start
Use the td-dfft skill to analyze the time series data in the table my_database.my_sensor_data with the timestamp column as reading_time and the value column as sensor_value.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: td-dfft Download link: https://github.com/teradata-labs/claude-cookbooks/archive/main.zip#td-dfft Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 223,000+ vetted skills library on demand.