By wshobson
Diagnose production errors by analyzing stack traces, logs, and distributed traces. Classify severity, perform root cause analysis, and generate fixes. Agents correlate error patterns across systems and audit codebase error handling to improve monitoring setup.
Set up error tracking and monitoring — implement structured logging, configure alerts, and integrate with error tracking services for real-time error detection.
Analyze and resolve errors across the full application lifecycle — from stack traces to distributed tracing — using systematic root-cause analysis and observability tools.
AI-assisted smart debugging — parse error messages, stack traces, and failure patterns to identify root causes and produce a fix with automated observability steps.
Debugging specialist for errors, test failures, and unexpected behavior. Use proactively when encountering any issues.
Search logs and codebases for error patterns, stack traces, and anomalies. Correlates errors across systems and identifies root causes. Use PROACTIVELY when debugging issues, analyzing logs, or investigating production errors.
Uses power tools
Uses Bash, Write, or Edit tools
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npx claudepluginhub wshobson/agents --plugin error-diagnosticsComprehensive C4 architecture documentation workflow with bottom-up code analysis, component synthesis, container mapping, and context diagram generation
ARM Cortex-M firmware development for Teensy, STM32, nRF52, and SAMD with peripheral drivers and memory safety patterns
Modern Julia development with Julia 1.10+, package management, scientific computing, high-performance numerical code, and production best practices
JavaScript and TypeScript development with ES6+, Node.js, React, and modern web frameworks
Web scripting with PHP and Ruby for web applications, CMS development, and backend services
Error analysis, trace debugging, and multi-agent problem diagnosis
Sentry error monitoring integration. Access error reports, analyze stack traces, search issues by fingerprint, and debug production errors directly from your development environment.
Monitor and debug production errors by integrating Sentry error tracking and performance monitoring into AI workflows.
Monitor and analyze application error rates
Lightrun runtime investigation skills for deterministic, evidence-first debugging.
Talk to your Faultline error tracker from Claude Code — query error groups, occurrences, captured locals, and APM traces while debugging.