stacktrace-log-triage

Name: stacktrace-log-triage
Availability: InStock
Author: mymx2

Diagnose Kotlin and Spring failures by analyzing stack traces and startup logs.

4|Updated Jun 10, 2026

Search Tags:#debugging #logging #kotlin #triage #spring #stacktrace

Ready to run

npx skills add https://github.com/mymx2/foreman --skill stacktrace-log-triage-mymx2

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: stacktrace-log-triage
Source: https://github.com/mymx2/foreman/tree/main/.qoder/skills.collected/skills/stacktrace-log-triage
Command: npx skills add https://github.com/mymx2/foreman --skill stacktrace-log-triage-mymx2

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill resolves the frustration of debugging complex Kotlin and Spring application failures by systematically parsing noisy logs and nested stack traces to identify the true root cause.

Core Features & Use Cases

Causal Chain Analysis: Automatically traverses Caused by chains to distinguish between framework wrapper exceptions and actual user-code failures.
Contextual Diagnosis: Correlates log timestamps, thread names, and metrics to pinpoint issues like connection pool exhaustion, configuration drift, or concurrency race conditions.
Actionable Remediation: Provides a structured output separating immediate hotfixes from long-term architectural improvements.

Quick Start

Use the stacktrace-log-triage skill to analyze the provided log file and identify the root cause of the application startup failure.

Frequently Asked Questions about stacktrace-log-triage

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

FAQPage Schema

How do I find the root cause of a Spring startup failure from a nested Kotlin stacktrace?▼

Diagnosing Kotlin stacktrace root causes requires traversing "Caused by" chains to distinguish framework wrapper exceptions from actual user-code failures. Systematic log chronology analysis isolates the true error source for remediation.

What is the best way to debug intermittent Spring runtime errors and connection pool exhaustion?▼

The best way to debug intermittent Spring runtime errors and connection pool exhaustion is by correlating log timestamps, thread names, and runtime metrics. This contextual diagnosis pinpoints concurrency race conditions and configuration drift from noisy logs.

Can I use this stacktrace analysis approach for production incident response in Kotlin applications?▼

Yes, this stacktrace analysis approach applies directly to production incident response in Kotlin applications. It systematically parses noisy runtime logs and nested stack traces to isolate root causes and provide verified mitigation steps during active incidents.

How do I get actionable remediation steps after isolating a Spring framework error?▼

Getting actionable remediation steps after isolating a Spring framework error involves structuring the diagnostic output to separate immediate hotfixes from long-term architectural improvements. This ensures both urgent resolution and prevention of future runtime failures.

Does this log triage method work on deployment failures without runtime metrics?▼

While this log triage method works on deployment failures by analyzing startup logs and nested stack traces, correlating runtime metrics provides deeper contextual diagnosis for issues like configuration drift. Metrics enhance but are not strictly required for basic causal chain analysis.