Systematically debug experiment code with structured error categorization and fix strategies.
| SyntaxError | Invalid syntax, indentation | Low | | ImportError | Missing module, wrong name | Low | | RuntimeError | Division by zero, shape mismatch | Medium | | TimeoutError | Infinite loop, too slow | Medium | | OutputError | Missing files, wrong format | Medium | | LogicError | Wrong results, 0% accuracy | High |
For syntax/import errors: Direct fix, single attempt For runtime errors: Fix and rerun, up to 4 retries For logic errors: Reflect on approach, consider alternative methods For timeout: Reduce dataset size, optimize bottleneck, add early stopping
Depurar código de experimento con análisis de errores estructurado. Clasifique errores, aplique correcciones específicas con lógica de reintento y utilice la reflexión para evitar problemas recurrentes. Úselo cuando el código del experimento falla o produce resultados incorrectos. Fuente: lingzhi227/claude-skills.