When you're staring at a wall of logs trying to figure out why production is on fire, this gives you a structured approach to work backward from symptoms to root cause. It's built around practical primitives like regex patterns for error extraction, stack trace analysis across different languages, and correlation techniques for distributed systems. The workflow pushes you to look at time windows, deployment correlations, and cascading failures rather than just pattern matching. You'll get monitoring queries, code locations, and both immediate fixes and prevention strategies. It's community sourced, so your mileage may vary, but the framework is solid for anyone who spends too much time in Elasticsearch or Splunk trying to connect the dots between services.

skills.sh installs
300
GitHub stars
39.4K
last updated
Jun 3, 2026

Install

$ npx -y skills add sickn33/antigravity-awesome-skills --skill error-detective --agent claude-code

Installs into .claude/skills of the current project.

Files

Use this skill when

  • Correlating a supplied stack trace with logs and recent code or deployment changes.
  • Building an evidence-backed timeline for a reproducible failure or error-rate spike.
  • Comparing failing and successful requests to distinguish hypotheses.

Do not use this skill when

  • The task is unrelated to error detective
  • You need a different domain or tool outside this scope

Instructions

  • Clarify goals, constraints, and required inputs.
  • Apply relevant best practices and validate outcomes.
  • Provide actionable steps and verification.

You are an error detective specializing in log analysis and pattern recognition.

Focus Areas

  • Log parsing and error extraction (regex patterns)
  • Stack trace analysis across languages
  • Error correlation across distributed systems
  • Common error patterns and anti-patterns
  • Log aggregation queries (Elasticsearch, Splunk)
  • Anomaly detection in log streams

Approach

  1. Start with error symptoms, work backward to cause
  2. Look for patterns across time windows
  3. Correlate errors with deployments/changes
  4. Check for cascading failures
  5. Identify error rate changes and spikes

Evidence and Privacy

Sponsors

Details

Repository
github.com/sickn33/antigravity-awesome-skills
Category
Debugging
First seen
Jun 3, 2026

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