docs: translate all SKILL.md files to English

🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-31 11:48:37 +08:00
parent 11a51a8d79
commit 92b47e006e
3 changed files with 216 additions and 216 deletions
@@ -1,98 +1,98 @@
 ---
-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。
+description: Read research outline, launch independent agent for each item for deep research. Disable task output.
 allowed-tools: Bash, Read, Write, Glob, WebSearch, Task
 ---

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

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

-## 执行流程
+## Workflow

-### 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 1: Auto-locate Outline
+Find `*/outline.yaml` file in current working directory, read items list, execution config (including items_per_agent).

-### 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 2: Resume Check
+- Check completed JSON files in output_dir
+- Skip completed items

-### 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）
+### 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)

-**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
+**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

-**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。
+**Hard Constraint**: The following prompt must be strictly reproduced, only replacing variables in {xxx}, do not modify structure or wording.

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

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

-## 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 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
+4. All field values must be in Chinese (research can be in English, but final JSON values in Chinese)

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

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

-**One-shot示例**（假设调研GitHub Copilot）：
+**One-shot Example** (assuming researching GitHub Copilot):
 ```
-## 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
+## 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

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

-## 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 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
+4. All field values must be in Chinese (research can be in English, but final JSON values in Chinese)

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

-## 验证
-完成JSON输出后，运行验证脚本确保字段完整覆盖：
+## Validation
+After completing JSON output, run validation script to ensure complete field coverage:
 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
-验证通过后才算完成任务。
+Task is complete only after validation passes.
 ```

-### 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 4: Wait and Monitor
+- Wait for current batch to complete
+- Launch next batch
+- Display progress

-### 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
+### Step 5: Summary Report
+After all complete, output:
+- Completion count
+- Failed/uncertain marked items
+- Output directory

-## 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
+## Agent Config
+- Background execution: Yes
+- Task Output: Disabled (agent has explicit output file when complete)
+- Resume support: Yes