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.