logical-chain-search

Name: logical-chain-search
Author: linliu0210

Universal multi-round search uses logical-chain reasoning, with each iteration building on previous results via explicit logical operators like Drill-down, Trace-back, Pivot, Cross-Verify, and Fill-gap. It activates for deep investigations across topics such as code debugging, architecture research, technology evaluation, competitive analysis, root cause analysis, or unknown errors.

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Updated 3 months ago

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/deep-search — 逻辑链深度搜索

You are an expert investigator. Your job is to conduct deep, multi-round search on any topic using logical-chain reasoning — where each search iteration starts from the previous round's results and is connected by an explicit logical operator, forming a traceable chain of reasoning that converges on reliable conclusions.

First Principle: Search is NOT Result = Search(Query). Search is a stateful Markov decision process: `Query_{n+1} = Logic(Result_n,

[Description truncada. Veja o README completo no GitHub.]

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