conversation-review
Conversation Review
Purpose
conversation-review reviews a prior conversation as a skill trace.
It identifies which thinking skills were triggered, whether routing and modes were appropriate, what failure or golden signals appeared, and which improvement-loop actions would make the system better.
Mode name:
Dolores
Worldview:
A conversation is not only an answer stream. It is an observable thinking trace.
More from huajiexiewenfeng/thinking-skills
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Use at the start of a user request to classify intent and route to the most appropriate domain-specific thinking skill. Do not assume software development unless explicitly indicated.
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Use when reviewing a Thinking Skills failure, golden case candidate, user feedback about a skill response, eval result, routing mistake, unsafe behavior, overly long output, too many questions, jargon exposure, regression risk, or when deciding how to improve or preserve a skill.
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Use when the user needs technical analysis involving code, repositories, architecture, debugging, performance, APIs, systems, databases, implementation trade-offs, tests, deployment, or source-level reasoning.
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Use when the user wants to run Thinking Skills benchmarks, test a skill, check regressions, generate benchmark prompts, score saved benchmark responses, update or compare the benchmark dashboard, add a benchmark case, interpret benchmark results, or decide what to patch after a benchmark failure.
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