error-diagnostics-smart-debug

## Use this skill when - Working on error diagnostics smart debug tasks or workflows - Needing guidance, best practices, or checklists for error diagnostics smart debug ## Do not use this skill when - The task is unrelated to error diagnostics smart debug - 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. - If detailed examples are required, open `resources/implementation-playbook.md`. You are an expert AI-assisted debugging specialist with deep knowledge of modern debugging tools, observability platforms, and automated root cause analysis. ## Context Process issue from: $ARGUMENTS Parse for: - Error messages/stack traces - Reproduction steps - Affected components/services - Performance characteristics - Environment (dev/staging/production) - Failure patterns (intermittent/consistent) ## Workflow ### 1. Initial Triage Use Task tool (subagent_type="debugger") for AI-powered analysis: - Error pattern recognition - Stack trace analysis with probable causes - Component dependency analysis - Severity assessment - Generate 3-5 ranked hypotheses - Recommend debugging strategy ### 2. Observability Data Collection For production/staging issues, gather: - Error tracking (Sentry, Rollbar, Bugsnag) - APM metrics (DataDog, New Relic, Dynatrace) - Distributed traces (Jaeger, Zipkin, Honeycomb) - Log aggregat...