Use when search or investigation could run forever. Set an explicit good-enough threshold first, then stop at the first option that clears it.
中文简介正在准备中。当前显示原文说明。
When a fault is localized and the proximate cause is known but the systemic root is not, chain evidence-linked whys with a counterfactual stop and a countermeasure.
中文简介正在准备中。当前显示原文说明。
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Build an evidence-linked causal chain from a known proximate fault to an actionable systemic root, then prescribe a countermeasure that would have blocked it.
Problem: <localized symptom + component>
Chain:
Why1: <cause> | Evidence: <...> | Ruled out: <...>
WhyN: ...
Causal set check: would removing all retained roots block the failure? yes/no
Roots:
- <systemic cause> | Pathway counterfactual: <...>
Countermeasure: <action that removes the enabling condition>
Verification: <how to confirm this pathway is blocked>
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Use when search or investigation could run forever. Set an explicit good-enough threshold first, then stop at the first option that clears it.
中文简介正在准备中。当前显示原文说明。
Use when a specific claim may lack grounding. Check evidence boundary, size wrongness cost, then answer, fetch, or abstain — never confabulate.
中文简介正在准备中。当前显示原文说明。
When the right response mode is unclear, classify the cause-effect domain first; decompose disorder.
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Under genuine uncertainty with no reliable forecast, inventory means, cap downside at affordable loss, act for commitments, and let goals emerge from controllable moves.
中文简介正在准备中。当前显示原文说明。
When a constraint is treated as fixed, separate physics from convention, keep only independently supported primitives, and rebuild the simplest solution that satisfies real constraints.
中文简介正在准备中。当前显示原文说明。
Deciding what to build or why adoption fails. Recover the progress users hire a solution for under a circumstance, then rank by outcome and competing workarounds.
中文简介正在准备中。当前显示原文说明。