multi-file-log-correlator
CommunityReconstruct distributed timelines across logs.
Data & Analytics#anomaly detection#log correlation#distributed tracing#incident investigation#gap detection#event timeline#timezone normalization
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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