feat: enhance research workflow with user confirmations

- Add AskUserQuestion for Step 1 framework confirmation - Add TOC summary field selection in report generation - Add detail_level hierarchy (brief -> moderate -> detailed) - Add Chinese output requirement for JSON values - Add long text formatting rules 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-31 11:45:24 +08:00
parent 5eaf859274
commit 11a51a8d79
4 changed files with 276 additions and 251 deletions
@@ -1,96 +1,98 @@
 ---
-description: Read research outline, launch independent agent for each item for deep research. Disable task output.
+description: 读取调研outline，为每个item启动独立agent进行深度调研。禁用task output。
 allowed-tools: Bash, Read, Write, Glob, WebSearch, Task
 ---

-# Research Deep - Deep Research
+# Research Deep - 深度调研

-## Trigger
+## 触发方式
 `/research-deep`

-## Workflow
+## 执行流程

-### Step 1: Auto-locate Outline
-Find `*/outline.yaml` file in current working directory, read items list, execution config (including items_per_agent).
+### Step 1: 自动定位Outline
+在当前工作目录查找 `*/outline.yaml` 文件，读取items列表、execution配置（含items_per_agent）。

-### Step 2: Resume Check
- Check completed JSON files in output_dir
- Skip completed items
+### Step 2: 断点续传检查
+- 检查output_dir下已完成的JSON文件
+- 跳过已完成的items

-### Step 3: Batch Execution
- Batch by batch_size (need user approval before next batch)
- Each agent handles items_per_agent items
- Launch web-search-agent (background parallel, disable task output)
+### Step 3: 分批执行
+- 按batch_size分批（完成一批需要得到用户同意才可进行下一批）
+- 每个agent负责items_per_agent个项目
+- 启动web-search-agent（后台并行，禁用task output）

-**Parameter Retrieval**:
- `{topic}`: topic field from outline.yaml
- `{item_name}`: item's name field
- `{item_related_info}`: item's complete yaml content (name + category + description etc.)
- `{output_dir}`: execution.output_dir from outline.yaml (default: ./results)
- `{fields_path}`: absolute path to {topic}/fields.yaml
- `{output_path}`: absolute path to {output_dir}/{item_name}.json
+**参数获取**：
+- `{topic}`: outline.yaml中的topic字段
+- `{item_name}`: item的name字段
+- `{item_related_info}`: item的完整yaml内容（name + category + description等）
+- `{output_dir}`: outline.yaml中execution.output_dir（默认./results）
+- `{fields_path}`: {topic}/fields.yaml的绝对路径
+- `{output_path}`: {output_dir}/{item_name}.json的绝对路径

-**Hard Constraint**: The following prompt must be strictly reproduced, only replacing variables in {xxx}, do not modify structure or wording.
+**硬约束**：以下prompt必须严格复述，仅替换{xxx}中的变量，禁止改写结构或措辞。

-**Prompt Template**:
+**Prompt模板**：
 ```python
-prompt = f"""## Task
-Research {item_related_info}, output structured JSON to {output_path}
+prompt = f"""## 任务
+调研 {item_related_info}，输出结构化JSON到 {output_path}

-## Field Definitions
-Read {fields_path} to get all field definitions
+## 字段定义
+读取 {fields_path} 获取所有字段定义

-## Output Requirements
-1. Output JSON according to fields defined in fields.yaml
-2. Mark uncertain field values with [uncertain]
-3. Add uncertain array at the end of JSON, listing all uncertain field names
+## 输出要求
+1. 按fields.yaml定义的字段输出JSON
+2. 不确定的字段值标注[不确定]
+3. JSON末尾添加uncertain数组，列出所有不确定的字段名
+4. 所有字段值必须使用中文输出（调研过程可用英文，但最终JSON值为中文）

-## Output Path
+## 输出路径
 {output_path}

-## Validation
-After completing JSON output, run validation script to ensure complete field coverage:
+## 验证
+完成JSON输出后，运行验证脚本确保字段完整覆盖：
 python ~/.claude/commands/research/validate_json.py -f {fields_path} -j {output_path}
-Task is complete only after validation passes.
+验证通过后才算完成任务。
 """
 ```

-**One-shot Example** (assuming researching GitHub Copilot):
+**One-shot示例**（假设调研GitHub Copilot）：
 ```
-## Task
-Research name: GitHub Copilot
-category: International Product
-description: Developed by Microsoft/GitHub, first mainstream AI coding assistant, ~40% market share, output structured JSON to /home/weizhena/AIcoding/aicoding-history/results/GitHub_Copilot.json
+## 任务
+调研 name: GitHub Copilot
+category: 国际产品
+description: Microsoft/GitHub开发，首个主流AI编程助手，市场份额约40%，输出结构化JSON到 /home/weizhena/AIcoding/aicoding-history/results/GitHub_Copilot.json

-## Field Definitions
-Read /home/weizhena/AIcoding/aicoding-history/fields.yaml to get all field definitions
+## 字段定义
+读取 /home/weizhena/AIcoding/aicoding-history/fields.yaml 获取所有字段定义

-## Output Requirements
-1. Output JSON according to fields defined in fields.yaml
-2. Mark uncertain field values with [uncertain]
-3. Add uncertain array at the end of JSON, listing all uncertain field names
+## 输出要求
+1. 按fields.yaml定义的字段输出JSON
+2. 不确定的字段值标注[不确定]
+3. JSON末尾添加uncertain数组，列出所有不确定的字段名
+4. 所有字段值必须使用中文输出（调研过程可用英文，但最终JSON值为中文）

-## Output Path
+## 输出路径
 /home/weizhena/AIcoding/aicoding-history/results/GitHub_Copilot.json

-## Validation
-After completing JSON output, run validation script to ensure complete field coverage:
+## 验证
+完成JSON输出后，运行验证脚本确保字段完整覆盖：
 python ~/.claude/commands/research/validate_json.py -f /home/weizhena/AIcoding/aicoding-history/fields.yaml -j /home/weizhena/AIcoding/aicoding-history/results/GitHub_Copilot.json
-Task is complete only after validation passes.
+验证通过后才算完成任务。
 ```

-### Step 4: Wait and Monitor
- Wait for current batch to complete
- Launch next batch
- Display progress
+### Step 4: 等待与监控
+- 等待当前批次完成
+- 启动下一批
+- 显示进度

-### Step 5: Summary Report
-After all complete, output:
- Completion count
- Failed/uncertain marked items
- Output directory
+### Step 5: 汇总报告
+全部完成后输出：
+- 完成数量
+- 失败/不确定标记的items
+- 输出目录

-## Agent Config
- Background execution: Yes
- Task Output: Disabled (agent has explicit output file when complete)
- Resume support: Yes
+## Agent配置
+- 后台执行: 是
+- Task Output: 禁用（agent完成时有明确输出文件）
+- 断点续传: 是