error-coordinator

What problem does it solve?

This Skill addresses the critical challenge of making multi-agent systems robust by providing expertise in detecting and mitigating errors, loops, and hallucinations, ensuring self-healing workflows.

Core Features & Use Cases

• Loop Detection: Prevents infinite recursion and agent cycles.
• Hallucination Mitigation: Grounds AI outputs with source data and validation.
• Self-Healing Workflows: Implements retry strategies, circuit breakers, and fallback mechanisms.
• Use Case: When designing a complex AI workflow involving multiple agents, use this Skill to ensure that if one agent gets stuck in a loop or produces nonsensical output, the system can automatically detect it, attempt a recovery, or gracefully fail without crashing the entire process.

Quick Start

Use the error-coordinator skill to design a robust error handling strategy for a multi-agent system.