Individual skill

reasoning-trace-optimizer

Debug and optimize AI agents by analyzing reasoning traces, context degradation, tool confusion, instruction drift, repeated task failures, and performance regressions.

examples/interleaved-thinking/SKILL.md

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Last checked: Nov 9, 2026

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Repository stars (not skill ratings): 18,336
Repository last updated: Oct 12, 2026
License: MIT

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README.mddoc · 20,169 bytes
SKILL.mdcore · 6,359 bytes
SKILL.mdcore · 6,359 bytes
SKILL.mdcore · 6,359 bytes
SKILL.mdcore · 6,359 bytes
SKILL.mdcore · 6,359 bytes
docs/agentthinking.mddoc · 6,518 bytes
docs/interleavedthinking.mddoc · 30,733 bytes
docs/m2-1.mddoc · 9,539 bytes
examples/01_basic_capture.pyruns · 2,293 bytes
examples/02_tool_usage.pyruns · 5,879 bytes
examples/03_full_optimization.pyruns · 39,972 bytes
optimization_artifacts/final_prompt.txtdoc · 3,256 bytes
optimization_artifacts/iteration_1/analysis.txtdoc · 2,829 bytes
optimization_artifacts/iteration_1/optimization.txtdoc · 485 bytes
optimization_artifacts/iteration_1/optimized_prompt.txtdoc · 81 bytes
optimization_artifacts/iteration_1/trace.txtdoc · 28,468 bytes
optimization_artifacts/iteration_10/analysis.txtdoc · 3,764 bytes
optimization_artifacts/iteration_10/trace.txtdoc · 28,925 bytes
optimization_artifacts/iteration_2/analysis.txtdoc · 3,455 bytes
optimization_artifacts/iteration_2/optimization.txtdoc · 6,968 bytes
optimization_artifacts/iteration_2/optimized_prompt.txtdoc · 3,529 bytes
optimization_artifacts/iteration_2/trace.txtdoc · 22,300 bytes
optimization_artifacts/iteration_3/analysis.txtdoc · 3,221 bytes
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optimization_artifacts/iteration_3/optimized_prompt.txtdoc · 4,408 bytes
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optimization_artifacts/iteration_4/optimized_prompt.txtdoc · 3,256 bytes
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optimization_artifacts/iteration_5/optimization.txtdoc · 6,426 bytes
optimization_artifacts/iteration_5/optimized_prompt.txtdoc · 3,061 bytes
optimization_artifacts/iteration_5/trace.txtdoc · 31,339 bytes
optimization_artifacts/iteration_6/analysis.txtdoc · 460 bytes
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optimization_artifacts/iteration_6/optimized_prompt.txtdoc · 81 bytes
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optimization_artifacts/iteration_7/analysis.txtdoc · 2,659 bytes
optimization_artifacts/iteration_7/optimization.txtdoc · 5,490 bytes
optimization_artifacts/iteration_7/optimized_prompt.txtdoc · 2,613 bytes
optimization_artifacts/iteration_7/trace.txtdoc · 21,242 bytes
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optimization_artifacts/iteration_8/optimized_prompt.txtdoc · 3,385 bytes
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optimization_artifacts/iteration_9/optimized_prompt.txtdoc · 2,673 bytes
optimization_artifacts/iteration_9/trace.txtdoc · 26,158 bytes
optimization_artifacts/summary.jsonasset · 1,002 bytes
pyproject.tomlasset · 1,931 bytes
reasoning_trace_optimizer/__init__.pyruns · 1,188 bytes
reasoning_trace_optimizer/analyzer.pyruns · 16,141 bytes
reasoning_trace_optimizer/capture.pyruns · 14,610 bytes
reasoning_trace_optimizer/cli.pyruns · 8,612 bytes
reasoning_trace_optimizer/loop.pyruns · 18,048 bytes
reasoning_trace_optimizer/models.pyruns · 4,955 bytes
reasoning_trace_optimizer/optimizer.pyruns · 14,558 bytes
reasoning_trace_optimizer/skill_generator.pyruns · 16,396 bytes
tests/__init__.pyruns · 43 bytes
tests/test_models.pyruns · 3,936 bytes

Read excerpt


# 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