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timezone-aware-event-tracker

Normalize distributed event timestamps to UTC and correlate them across timezones.

5|4|Updated Nov 9, 2025
Search Tags:#log analysis#python cli#event correlation#incident timeline#timezone normalization#DST handling#UTC conversion
One-click install
npx skills add https://github.com/takusaotome/claude-skills-library --skill timezone-aware-event-tracker
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: timezone-aware-event-tracker
Source: https://github.com/takusaotome/claude-skills-library/tree/main/skills/timezone-aware-event-tracker
Command: npx skills add https://github.com/takusaotome/claude-skills-library --skill timezone-aware-event-tracker

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill eliminates confusion and misalignment when correlating event timelines recorded in different local timezones, especially during daylight saving time (DST) transitions.

Core Features & Use Cases

  • Timezone normalization to UTC: Convert timestamps from multiple timezones (including IANA zones and common abbreviations) into a single reference timeline for accurate comparison.
  • Cross-timezone correlation: Group related events that occur within a specified time window to reconstruct incident flows and operational handoffs.
  • DST ambiguity detection and reporting: Detect and flag DST-relevant ambiguities to avoid silently incorrect timeline conclusions, then produce DST-aware analysis and reports.

Quick Start

Ask the skill to parse your input event file (CSV or JSON), correlate events within a 5-minute window, and output a multi-timezone timeline report.

Frequently Asked Questions about timezone-aware-event-tracker

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I normalize event timestamps across multiple timezones for incident timeline correlation?▼

You can normalize event timestamps across multiple timezones by parsing distributed logs with IANA zones or common abbreviations and converting them into a consistent UTC-based reference timeline for accurate comparison.

How does DST handling work when converting local times to UTC for log analysis?▼

DST handling during UTC conversion for log analysis applies timezone rules to detect and flag ambiguities during daylight saving time transitions, preventing silently incorrect timeline conclusions in cross-regional event correlation.

What is the best way to correlate cross-regional events within a specific time window?▼

The best way to correlate cross-regional events is to apply window-based correlation to group related events occurring within a specified time window, reconstructing incident flows and operational handoffs across different timezones.

Can I parse ISO 8601 timestamps and timezone abbreviations like PST and JST together?▼

Yes, you can parse ISO 8601 timestamps and common timezone abbreviations like PST, CST, EST, and JST together, as the robust timestamp parsing mechanism supports multiple formats to normalize distributed event logs.

How do I generate a timeline report from CSV or JSON event logs?▼

To generate a timeline report from CSV or JSON event logs, parse the input file, correlate events within a specified time window, and output a multi-timezone timeline analysis report in markdown or JSON format.

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