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Research Deep Skill for Claude

读取调研outline,为每个item启动独立agent进行深度调研。禁用task output。

817 tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
1853
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/Weizhena/Deep-Research-skills --skill research-deep

What it tells the agent to use

found in the instruction text
Bash runs shell commands — read the instruction before connecting
WebSearch reads your files

The instruction itself

7 sections, as written by the author

Research Deep - 深度调研

触发方式

/research-deep

执行流程

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: 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: 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)

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_slug}.json的绝对路径(slugify处理item_name:空格替换为_,移除特殊字符)

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模板

prompt = f"""## 任务
调研 {item_related_info},输出结构化JSON到 {output_path}

## 字段定义
读取 {fields_path} 获取所有字段定义

## 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)

## 输出路径
{output_path}

## 验证
完成JSON输出后,运行验证脚本确保字段完整覆盖:
python ~/.claude/skills/research/validate_json.py -f {fields_path} -j {output_path}
验证通过后才算完成任务。
"""

One-shot示例(假设调研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 {project_dir}/results/GitHub_Copilot.json

## 字段定义
读取 {project_dir}/fields.yaml 获取所有字段定义

## 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)

## 输出路径
{project_dir}/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:
python ~/.claude/skills/research/validate_json.py -f {project_dir}/fields.yaml -j {project_dir}/results/GitHub_Copilot.json
验证通过后才算完成任务。

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: 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

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How to use it

Copy the folder

Take weizhena/deep-research-research-zh-research-deep from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.