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斯坦福 STORM 多视角深度研究方法。通过 4 阶段顺序流水线（多视角扫描 → 矛盾地图 → 综合简报 → 同行评审）将 40+ 小时的研究压缩为几分钟。每阶段独立运行，后一阶段以前一阶段完整结果为上下文。适用于写文章前、重大决策前、投资前、谈判前、求职面试前、学习新领域前、演讲前的深度调研。触发关键词：STORM、深度研究、多视角研究、storm research、换个角度研究、全面分析这个、博士级研究、系统研究。
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
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。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/pixiesgeosun/agent-skills --skill storm-research命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
基于 SOC 职业分类
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| name | storm-research |
| description | 斯坦福 STORM 多视角深度研究方法。通过 4 阶段顺序流水线（多视角扫描 → 矛盾地图 → 综合简报 → 同行评审）将 40+ 小时的研究压缩为几分钟。每阶段独立运行，后一阶段以前一阶段完整结果为上下文。适用于写文章前、重大决策前、投资前、谈判前、求职面试前、学习新领域前、演讲前的深度调研。触发关键词：STORM、深度研究、多视角研究、storm research、换个角度研究、全面分析这个、博士级研究、系统研究。 |
Stanford's STORM framework adapted as a 4-stage sequential pipeline. Published at NAACL 2024 by Stanford OVAL Lab.
Critical rule: stages must run sequentially. Each stage produces full-length output. The next stage receives the complete accumulated results as context. Never compress multiple stages into a single model call — that kills depth.
/Users/pixies/Library/Mobile Documents/iCloud~md~obsidian/Documents/Mydoc/Inbox/STORM-[主题]-[YYYY-MM-DD].md
Ask for the research topic. If the user provides a role (e.g. "我是出版人"), note it for Stage 3's actionable insight.
Load references/prompts.md. Send Prompt 1 to the model with the user's topic.
Collect the FULL output. Do not summarize or truncate.
Expected output: 5 perpectives (Practitioner, Scholar, Skeptic, Economist, Historian), each containing: 2-sentence core stance, strongest evidence, unique insight.
Send Prompt 2 to the model, preceded by the complete Stage 1 output. Format:
以下是第一阶段的多视角扫描结果：
[粘贴 Stage 1 完整输出]
---
基于上面的 5 个视角，绘制矛盾地图：
[Prompt 2 原文]
Collect the FULL output.
Expected output: direct contradictions with specific claims, evidence strength ranking with reasons, key question to resolve the biggest conflict, consensus among all 5, blind spots no one addressed.
Send Prompt 3 to the model, preceded by the complete Stage 1 + Stage 2 output. Use the user's role in the actionable insight section. Format:
以下是前两阶段的研究结果：
[粘贴 Stage 1 完整输出]
[粘贴 Stage 2 完整输出]
---
将以上 5 个视角和矛盾地图中的所有内容综合成一份研究简报：
[Prompt 3 原文，其中 [你的角色] 替换为用户角色]
Collect the FULL output.
Expected output: CEO summary, 5 key findings with supporter/skeptic per finding and reliability score (1-10), hidden connections, actionable insight, frontier question.
Send Prompt 4 to the model, preceded by the complete Stage 1 + Stage 2 + Stage 3 output.
Collect the FULL output.
Expected output: confidence score per finding with explanation, weakest claim and what's needed to verify, bias check with specific examples, missing 6th perspective, overall grade with what a Stanford professor would say.
Merge all 4 stages into a single .md file with the structure below. Save to Vault. Notify user of path.
---
title: "STORM 研究：[主题]"
method: Stanford STORM
date: YYYY-MM-DD
---
# STORM 研究：[主题]
## 第一阶段：多视角扫描
### 1. 实践者
...
### 2. 学者
...
### 3. 怀疑论者
...
### 4. 经济学家
...
### 5. 历史学家
...
## 第二阶段：矛盾地图
...
## 第三阶段：研究简报
...
## 第四阶段：同行评审
...
After each stage, verify before proceeding:
If the user says "再深入 X 视角", load and use Prompt 5 from references/prompts.md.
If the user has a specific decision, after the 4 stages, load and use Prompt 6 from references/prompts.md. Triggered by keywords: "该不该"、"要不要"、"怎么选"、"决策"、"投资"、"谈判".