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deep-reasoning
Split a complex problem into a multi-step reasoning chain, and make key assumptions, branch points, validation order, and rollback points explicit.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Split a complex problem into a multi-step reasoning chain, and make key assumptions, branch points, validation order, and rollback points explicit.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Used for high-quality experiment reports, analysis reports, and technical summaries. Evidence must be enough, charts must be real, structure must be clear, and empty talk is forbidden.
Open several fundamentally different routes for one problem fast, so the flow does not keep doing small tweaks on one path only.
Manual start skill: read `.opencode/` first, then read the task files at the project root and start execution. It is like replacing the first prompt line.
Built-in Python tool priors covering time series, statistics, machine learning, and related ecosystems. It reduces repeated search cost and gives the first coverage of method families and tool families.
In time-series, deep-learning, and LLM projects, use ztxexp to unify experiment config, batch runs, result tracking, ablation analysis, and failure diagnosis.
Align project background, initialize runtime trace / memory files, and output the minimum startup summary for the current task.
| name | deep-reasoning |
| description | Split a complex problem into a multi-step reasoning chain, and make key assumptions, branch points, validation order, and rollback points explicit. |
[Skills: deep-reasoning] Follow: <rules / context constraints that really apply now>; Current step: <one-line note>.[Rules: <rule>] ..., then continue with the real work.When brain-storm produces combination or novel routes (source_type = combination / cross-domain-transfer / trick-augmentation), deep-reasoning must analyze their structural soundness — not just validate single-method routes.
what first, what later, and when to roll back.brain-storm are still worth opening another round.self-explore path and public high-score reverse-absorption path, and explain the validation order and compare gate for each one.candidate merge points, and say what cross-branch comparison evidence must exist before merge. Do not merge into one path directly before branches finish first-round or current-wave validation.main story too early.branch_id, current wave, preconditions, next validation node, and drop conditions for every path until branch-level comparison is clearly done.current leading branch. Do not call it recommended main line, and do not say other paths merge into this route before a clear global compare gate is done.clearly no, the flow must not converge yet.pre-stop gate, review each candidate from brain-storm one by one: is it really executable, what preconditions are needed, how much information gain can it bring, and is it worth one more round?stop not allowed and say clearly where the next round should start.existing-method / combination / cross-domain-transfer / trick-augmentation)