error-diagnostics-smart-debug - AI-assisted smart debugging and error diagnostics workflow
Diagnoses errors, analyzes stack traces and observability data, generates hypotheses, and provides validated fixes and prevention steps.
Tags
Updated: 2026-09-17Capabilities
Typical Inputs
Typical Outputs
What this skill does
- Parse error messages and stack traces
- Gather observability data and logs
- Generate ranked debugging hypotheses
- Select appropriate debugging strategy
- Suggest intelligent instrumentation locations
- Perform automated root cause analysis
- Generate code fix proposal
- Validate fixes and prevention steps
Inputs
- Issue details or process arguments
- Stack traces and error messages
- Observability metrics and log data
- Source code and implementation playbook
Outputs
- Structured error diagnostic report
- Root cause analysis
- Code fix proposal
- Fix validation plan
- Prevention steps and regression tests
Requirements
- Task tool with debugger subagent
- Access to observability platform tools
- AI model with code analysis capability