failure-recovery

What problem does it solve?

This Skill addresses the inefficiency of simply retrying AI tasks when they fail, by providing a structured protocol for diagnosing the root cause of failure and applying targeted solutions before re-attempting.

Core Features & Use Cases

• Failure Classification: Identifies common failure types like "Direction Error," "Pattern Mismatch," "Partial Implementation," and "Type/Runtime Errors."
• Root Cause Analysis: Guides the AI to analyze the discrepancy between expected and actual results.
• Prescriptive Solutions: Offers specific remedies tailored to each failure type, such as redefining requirements, providing reference files, breaking down tasks, or including error messages and types.
• Escalation Protocol: Defines clear criteria for when to escalate issues to a human user.
• Use Case: When an AI-generated code snippet doesn't compile due to a type error, this Skill helps the AI identify the specific error message and relevant types, then guides it to fix the issue before resubmitting.

Quick Start

Use the failure-recovery skill to diagnose and fix the AI's last incorrect output.