v0.20 alpha skill-driven python core
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---
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description: Phase 1 - 触发 dr-plan 进行深度初扫并生成双语研究框架(中文大纲 + 英文研究思路)。完成后暂停等用户确认。用法:/dr-frame [slug]
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description: Phase 1 生成研究框架。薄封装:调用 Python core。用法:/dr-frame <slug-or-path> [--method ... --chapters ...]
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agent: dr-plan
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subtask: false
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---
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你是 dr-plan。用户执行了 `/dr-frame $ARGUMENTS`,驱动 Phase 1 的框架规划。
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执行 Python core 框架入口:
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## Step 1: 定位项目
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- 如果 `$ARGUMENTS` 非空:用该 slug
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- 为空:`ls -t projects/*/manifest.json | head -1` 找最近项目
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- 项目不存在:报错"请先 /dr-init 初始化项目"
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## Step 2: 前置检查
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- `phase1.status` 必须是 `interview_done`
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- `target_words_zh` 和 `target_words_en` 必须都存在
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- `core_questions` 必须非空
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- `report_title` 必须非空(v0.5 新增检查)
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- `model_profile` 必须存在(v0.12 新增检查,确保全流程模型策略一致)
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任一检查不通过 → 回报用户"访谈不完整",停止。
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## Step 3: 加载 Skills
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必读:
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1. `search-strategy` — 检索策略
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2. `source-quality` — 信源评级
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3. `length-budget` — 字数配额(用英文词数为基准)
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4. `mckinsey-method` — 结构方法论
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5. `humanizer-cn` — 避免 AI 套路
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## Step 4: 并行初扫(委派 dr-searcher)
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把主题拆成 3-4 个互补的关键词组,每组一个 dr-searcher Task。
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**在同一条消息里发多个 Task 调用**(并行),不要串行等。
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关键词组示例(以 "自研 O-糖苷酶立项" 为例):
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- 组 A:Scientific mechanism (GH101 family, endoglycosidase mechanism, Core 1/3 activity)
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- 组 B:Clinical and regulatory (FDA/NMPA disclosures, clinical trial registries)
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- 组 C:Market and competition (market size, CAGR, competitor analysis)
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- 组 D:IP and supply chain (USPTO/EPO patents, CDMO capacity, supply risks)
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Task 模板:
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```
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description: "Initial scan keyword group A - <category>"
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prompt: |
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You are dr-searcher. Conduct Phase 1 initial scan for the topic "<topic>", focus area: <category>.
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Required skills: search-strategy, source-quality
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Tasks:
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1. 3 rounds of search through `scripts/search.py`: scholar/patents/news/general as appropriate; Tavily/Brave/Exa MCP only as gap-fill
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2. Both English and Chinese keywords
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3. Return 10-20 Tier 1-2 sources (score ≥6), exclude Tier 4 and blacklist
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4. 1-2 sentence outline per source
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5. 200-word summary of this direction's core findings (in English)
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Output format (Markdown):
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## Keyword Group <A>: <category>
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### Keywords Used
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- English: ...
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- Chinese: ...
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- Routes used: scholar / patents / news / general
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### Initial Sources (≥10, Tier 1-2)
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1. [src_xxx] <title> | <author/institution> | <year> | <Tier> | <score>
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- <core finding one sentence>
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### Direction Summary (200 words, English)
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...
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Return as markdown directly, don't write to files.
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```bash
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uv run python scripts/dr.py frame $ARGUMENTS
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```
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**硬限制**:一次性并行发 3-4 个 Task,不要分批。
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## Step 5: 汇总初扫结果
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收到 3-4 个 dr-searcher 返回后:
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1. 汇总到 `projects/<slug>/phase1/initial-scan.md`(中英双语,按组分节)
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2. 去重
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3. 按 score 排序
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## Step 6: 生成双语框架(v0.5 关键升级)
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基于初扫结果,生成 `projects/<slug>/phase1/framework.md`。
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**结构**:
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- **顶部元信息**:中文摘要(研究类型、目标字数、核心问题等)
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- **全局论点 Central Thesis**:一句话中英双语
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- **章节大纲**:
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- 每章用**双语标题**(中文标题 + 英文标题)
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- 字数配额按英文词数(en_words),括号里附中文字数预估
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- 每节的研究思路用英文写(因为 Phase 2 dr-analyst 用英文工作)
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- **替代框架**:至少 2 个备选切法
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### framework.md 模板
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```markdown
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# <报告主标题>
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**副标题**:<报告副标题>
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## 元信息
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- 研究类型:<type>
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- 字数模式:<word_budget_mode>
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- 目标字数:<target_words_en> EN / <target_words_zh> ZH
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- 核心受众:<audience>
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- 时间范围:<time_range>
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- 地理范围:<geography>
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- 核心问题(中文):
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1. ...
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2. ...
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- Core Questions (English):
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1. ...
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2. ...
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- 禁区:<exclusions>
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## Central Thesis / 全局论点
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**EN**: <one sentence, ≤30 words, the judgment the whole report proves>
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**中文**:<一句话,≤50 字,整份报告论证的核心判断>
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## 章节大纲 / Chapter Outline
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### Chapter 1: <EN title> / <中文标题>
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- Priority: intro
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- Word quota: 1260 EN (≈ 1800 ZH)
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- Core research question (EN): ...
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- Preliminary hypothesis (EN): ...
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- Expected sources: ...
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- **1.1** <EN section title> / <中文>
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- Research thinking (EN): ...
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- **1.2** <EN section title> / <中文>
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- Research thinking (EN): ...
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### Chapter 2: <EN title> / <中文标题>
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- Priority: P0
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- Word quota: 3150 EN (≈ 4400 ZH)
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- Core research question (EN): ...
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- **2.1** <...>
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...
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## 替代框架 / Alternative Frameworks
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> 如果用户不接受主方案:
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### Alternative A: 按技术路线组织 (Technology-path organization)
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<3-5 章大纲,双语简述>
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### Alternative B: 按竞争对象分章 (Competitor-focused organization)
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<3-5 章大纲,双语简述>
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## 预计风险与依赖
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- 关键信源可获取性风险
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- 哪些章节可能因数据缺失降级
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```
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## Step 7: 更新 manifest
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```json
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{
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"phase1": {
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"status": "framework_generated",
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"framework_path": "projects/<slug>/phase1/framework.md",
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"chapter_count": N,
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"chapter_quotas_en": [
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{"index": 1, "title_en": "...", "title_zh": "...", "en_words": 1260, "priority": "intro"},
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{"index": 2, "title_en": "...", "title_zh": "...", "en_words": 3150, "priority": "P0"}
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]
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}
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}
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```
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## Step 8: 暂停等确认
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告知用户:
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```
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Phase 1 框架已生成:projects/<slug>/phase1/framework.md
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摘要:
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- 报告主标题:<report_title>
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- 副标题:<report_subtitle>
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- 目标:<target_words_en> EN words / <target_words_zh> 中文字
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- 章节数:N
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- 全局论点:<Central Thesis EN/中文>
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- 替代框架:2 个
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请审核 framework.md,然后:
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✅ 满意 → 回复"确认框架"
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✏️ 修改 → 告诉我改什么(如"第 5 章要拆成机制和临床两块")
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🔄 换视角 → 切换到备选框架 A 或 B
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```
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**停下来等用户反馈**。
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## 用户确认后
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如果用户回复"确认框架":
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1. 更新 `manifest.phase1.approved = true`
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2. 更新 `manifest.phase1.approved_at = <ISO 时间>`
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3. 告知:"Phase 1 完成。下一步:/dr-research 进入 Phase 2 英文深研。"
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---
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## 禁止事项
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- ❌ 跳过 Step 4 的并行初扫直接凭经验写框架
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- ❌ 一次委派 > 4 个 searcher(API 限流)
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- ❌ 写完 framework 就自动跑 /dr-research
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- ❌ framework 中用中文写研究思路(Phase 2 是英文工作,研究思路也用英文写)
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- ❌ 章节标题不给双语对照
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完成后暂停,请用户审阅 `phase1/framework.md`,确认后再进入 `/dr-research`。
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