td-filter
OfficialEnhance signals with advanced digital filtering.
Authorteradata-labs
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the challenge of noisy or unclear time-series data by applying advanced digital filtering techniques to reduce noise and enhance signal quality.
Core Features & Use Cases
- Noise Reduction: Cleans up sensor data, financial time series, or any signal prone to interference.
- Signal Enhancement: Improves the clarity and usability of signals for further analysis or machine learning.
- Use Case: Apply this Skill to raw IoT sensor data to remove high-frequency noise, making it easier to detect underlying trends or anomalies.
Quick Start
Analyze time series table: my_database.sensor_data with timestamp column and value columns.
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-filter Download link: https://github.com/teradata-labs/claude-cookbooks/archive/main.zip#td-filter Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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