By wshobson
Analyze production errors with root-cause analysis, classify by severity, and generate ranked hypotheses with recommended fixes using observability data and codebase analysis.
Set up error tracking and monitoring — implement structured logging, configure alerts, and integrate with error tracking services for real-time error detection.
AI-assisted smart debugging — parse error messages, stack traces, and failure patterns to identify root causes and produce a fix with automated observability steps.
Analyze and resolve errors across the full application lifecycle — from stack traces to distributed tracing — using systematic root-cause analysis and observability tools.
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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Modern Python development with Python 3.12+, Django, FastAPI, async patterns, and production best practices
Smart contract development with Solidity, DeFi protocol implementation, NFT platforms, and Web3 application architecture
OpenAPI specification generation, Mermaid diagram creation, tutorial writing, API reference documentation
Performance analysis, test coverage review, and AI-powered code quality assessment
Modern Julia development with Julia 1.10+, package management, scientific computing, high-performance numerical code, and production best practices
Error analysis, trace debugging, and multi-agent problem diagnosis
Sentry Plugin for Claude Code to help with debugging including MCP, commands, and skill capabilities.
Monitor and debug production errors by integrating Sentry error tracking and performance monitoring into AI workflows.
Lightrun runtime investigation skills for deterministic, evidence-first debugging.
Monitor and analyze application error rates
Traceway skills: /tw:traceway debugs production issues through the traceway CLI, /tw:traceway-setup instruments a project to report to a Traceway instance.