log-analysis

Analyze 1C platform logs to identify errors, deadlocks, and performance bottlenecks.

140|16|Updated May 2, 2026
One-click install
npx skills add https://github.com/IngvarConsulting/unica --skill log-analysis-ingvarconsulting
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: log-analysis
Source: https://github.com/IngvarConsulting/unica/tree/main/plugins/unica/skills/log-analysis
Command: npx skills add https://github.com/IngvarConsulting/unica --skill log-analysis-ingvarconsulting

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps users analyze 1C journal and technological logs to identify errors, deadlocks, performance issues, and security challenges efficiently.

Core Features & Use Cases

  • Log Classification and Timeline Construction: Classify log events and visualize event sequences over time to pinpoint root causes.
  • Evidence Extraction and Correlation: Extract critical details such as module names, transaction IDs, user sessions, SQL texts, and error types.
  • Use Case: When facing a platform exception or performance bottleneck, input log fragments to quickly determine the source, context, and potential fixes.

Quick Start

Provide a log file or log fragments related to 1C platform operation for analysis and troubleshooting assistance.

Frequently Asked Questions about log-analysis

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

FAQPage Schema
How do I diagnose 1C deadlocks and performance bottlenecks from platform logs?

To diagnose 1C deadlocks and performance bottlenecks, analyze platform logs to classify events, construct timelines, and extract critical details like transaction IDs and SQL texts. This process pinpoints root causes by correlating runtime, platform, and database events.

What is the best way to identify the root cause of a 1C platform exception?

Identifying the root cause of a 1C platform exception involves classifying log events and visualizing event sequences over time. This evidential mapping extracts module names, user sessions, and error types to quickly determine the source and context.

Do I need specific log fragments to troubleshoot 1C lock issues?

Yes, troubleshooting 1C lock issues requires providing log files or fragments related to platform operation. Reading runtime, platform, and database logs enables the extraction of transaction IDs and user sessions to correlate lock events.

Can I use log analysis to find SQL texts and module names in 1C diagnostic logs?

Yes, you can use log analysis to find SQL texts and module names in 1C diagnostic logs. The process extracts critical evidential details from technological logs, mapping them to specific user sessions and error types for resolution.

Why does correlating events across runtime and database logs help with 1C error diagnosis?

Correlating events across runtime and database logs helps with 1C error diagnosis by building a precise timeline. This evidential mapping links long-running processes and exceptions to their exact source, providing detailed context for troubleshooting.