Reasoning Trace Optimizer

Debug and optimize AI agents by analyzing their reasoning traces. This skill uses MiniMax M2.1's interleaved thinking to provide deep insight into agent decision-making and generate concrete improvements.

When to Activate

• Agent reasoning traces need debugging, analysis, or prompt optimization
• Agent task fails and user wants to understand why
• User mentions "context degradation", "tool confusion", or "instruction drift"
• Request to improve agent performance or reduce errors
• User wants to generate shareable learnings from debugging sessions
• After repeated failures on similar tasks

Core Concepts

Interleaved Thinking