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analyze-logs

Name: analyze-logs
Availability: InStock
Author: Aurelio

Coordinate multi-agent analysis of Story Factory logs to surface anomalies and severity-ranked findings for engineering teams.

Updated Jan 14, 2026

Search Tags:#debugging #multi-agent #reliability #anomaly-detection #log-analysis #story-factory

Ready to run

npx skills add https://github.com/Aureliolo/story-factory --skill analyze-logs-aureliolo

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: analyze-logs
Source: https://github.com/Aureliolo/story-factory/tree/main/.claude/skills/analyze-logs
Command: npx skills add https://github.com/Aureliolo/story-factory --skill analyze-logs-aureliolo

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Deep, multi-agent log analysis that surfaces bugs, anti-patterns, wasted work, data corruption, performance issues, and anything suspicious in Story Factory's application logs.

Core Features & Use Cases

Coordinated multi-agent analysis across log segments to surface comprehensive findings.
Structured triage & synthesis of errors, warnings, anomalies, and potential data integrity problems with clear severity.
Cross-domain correlation to link temporal, performance, and workflow patterns for root-cause exploration.
Use cases include incident investigation, reliability optimization, and post-mortem quality improvement.

Quick Start

Run analyze-logs on the target Story Factory log file to generate a structured findings report.

Frequently Asked Questions about analyze-logs

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

FAQPage Schema

How do I analyze application logs to surface bugs and performance issues?▼

Multi-agent log analysis orchestrates ten specialist agents plus a coordinator to scan full or selected application logs, cross-correlating temporal and workflow patterns to surface bugs, performance issues, and data integrity concerns with clear severity.

What is multi-agent log analysis and how does it work for anomaly detection?▼

Multi-agent log analysis applies ten specialist agents coordinated by a central orchestrator to compute metrics, synthesize results, and detect anomalies across log segments, yielding a structured report for reliability engineering and incident investigation.

Can I run log analysis on specific segments of a Story Factory log file?▼

Yes, you can apply log analysis to either full Story Factory logs or selected segments, allowing the multi-agent coordinator to triage errors, warnings, and data corruption within targeted timeframes or workflow boundaries.

How do I investigate root causes of data integrity problems in application logs?▼

Investigating data integrity problems in application logs is handled by cross-domain correlation agents that link temporal, performance, and workflow patterns to explore root causes, producing structured findings for post-mortem quality improvement.

What is the best way to triage errors and warnings for reliability engineering?▼

The best way to triage errors and warnings for reliability engineering is using multi-agent structured synthesis, which evaluates log segments across ten specialist agents to categorize anomalies and assign clear severity for targeted incident investigation.

Do I need any dependencies or external tools to run multi-agent log analysis?▼

No dependencies are required to run multi-agent log analysis, as the skill internally orchestrates ten specialist agents using built-in tools like Bash, Read, Grep, Glob, Task, and Write to compute metrics and generate a final report.