multi-file-log-correlator

Community

Reconstruct distributed timelines across logs.

Authortakusaotome
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Multi-system incidents are hard to debug when related events are scattered across multiple log files with different timestamp formats and timezones. This skill helps you merge those logs into a unified timeline and surface cross-system correlations, gaps, and timing anomalies.

Core Features & Use Cases

  • Unified timeline construction: Merge heterogeneous log sources into a single, time-ordered event stream with source attribution.
  • Timezone normalization & timestamp alignment: Parse and normalize timestamps (including format differences) to a chosen output timezone.
  • Cross-log correlation & trace reconstruction: Group events by extracted correlation IDs (e.g., request_id/trace_id) or by temporal proximity when IDs are absent.
  • Gap detection: Identify missing coverage windows per source using a configurable gap threshold.
  • Anomaly detection: Flag long correlation durations and error bursts to speed up incident triage.

Quick Start

Use the multi-file-log-correlator to correlate your app, nginx, and database logs into a single timeline and generate a full correlation report in Markdown.

Dependency Matrix

Required Modules

python-dateutilpandas

Components

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: multi-file-log-correlator
Download link: https://github.com/takusaotome/claude-skills-library/archive/main.zip#multi-file-log-correlator

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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