analyse-app-logs

Analyze application logs to identify incidents with root-cause context.

4|2|Updated Feb 25, 2026
One-click install
npx skills add https://github.com/LaiTszKin/apollo-toolkit --skill analyse-app-logs
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: analyse-app-logs
Source: https://github.com/LaiTszKin/apollo-toolkit/tree/main/analyse-app-logs
Command: npx skills add https://github.com/LaiTszKin/apollo-toolkit --skill analyse-app-logs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill enables teams to investigate application logs systematically, deriving evidence-backed incident reports with clear root-cause context.

Core Features & Use Cases

  • Bounded, recent-window log analysis anchored to runtime boundaries (e.g., last container restart or deploy) to avoid stale data.
  • End-to-end signal extraction, cross-context correlation, and code-path mapping to actionable findings.
  • Structured incident reporting that separates confirmed issues from hypotheses, including time-window, log lines, code mapping, impact, and remediation steps.
  • Optional publication workflow via the open-github-issue dependency to create GitHub issues for validated findings.

Quick Start

Invoke the Analyse App Logs skill with a bounded time window to start an evidence-backed incident investigation.

Frequently Asked Questions about analyse-app-logs

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

FAQPage Schema
How do I analyze application logs to find the root cause of an incident?▼

To analyze application logs for root-cause context, define a bounded investigation window, extract log lines, correlate them with code context, and generate an evidence-backed incident report separating confirmed issues from hypotheses.

What is the best way to investigate logs across multiple services after a deployment?▼

Investigating logs across services requires anchoring to runtime boundaries like a recent container restart, extracting end-to-end signals, mapping code paths, and validating findings against references to produce actionable remediation steps.

Can I automatically create a GitHub issue from validated application log findings?▼

Yes, through the open-github-issue dependency, validated incident findings from log analysis can optionally be published directly as GitHub issues to initiate tracking and remediation workflows.

How do I scope log analysis to avoid stale data during an incident investigation?▼

Scope log analysis by defining a bounded, recent-window anchored to runtime boundaries such as the last container restart or deployment, which prevents stale data and ensures relevant signal extraction.

What should an evidence-backed incident report include when analyzing application logs?▼

An evidence-backed incident report should include the time-window, extracted log lines, code mapping, impact assessment, and structured remediation steps, clearly separating confirmed issues from hypotheses.

Does this log analysis approach work without predefined environment dependencies?▼

Yes, the log analysis workflow operates with zero dependencies, applying a disciplined process of scope definition, timeline construction, cross-context correlation, and validation across services and environments.