Weizhena/Deep-Research-skills

# Research Skill - Preliminary Research

## Trigger
`/research <topic>`

## Workflow

### Step 1: Generate Initial Framework from Model Knowledge
Based on topic, use model's existing knowledge to generate:
- Main research objects/items list in this domain
- Suggested research field framework

Output {step1_output}, use request_user_input to confirm:
- Need to add/remove items?

# Research Add Fields - Supplement Research Fields

## Trigger
`/research-add-fields`

## Workflow

### Step 1: Auto-locate Fields File
Find `*/fields.yaml` file in current working directory, auto-read existing fields definitions.

### Step 2: Get Supplement Source
Ask user to choose:
- **A. User direct input**: User provides field names and descriptions
- **B. Web Search**: Launch agent to search common fields in this domain

# Research Add Items - Supplement Research Objects

## Trigger
`/research-add-items`

## Workflow

### Step 1: Auto-locate Outline
Find `*/outline.yaml` file in current working directory, auto-read.

### Step 2: Get Supplement Sources in Parallel
Simultaneously:
- **A. Ask user**: What items to supplement? Any specific names?
- **B. Ask if Web Search needed**: Launch agent to search for more items?

# Research Deep - Deep Research

## Trigger
`/research-deep`

## Workflow

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

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

# Research Report - Summary Report

## Trigger
`/research-report`

## Workflow

### Step 1: Locate Results Directory
Find `*/outline.yaml` in current working directory, read topic and output_dir config.

### Step 2: Scan Optional Summary Fields
Read all JSON results, extract fields suitable for TOC display (numeric, short metrics), e.g.:
- github_stars
- google_scholar_cites

# Research Skill - Preliminary Research

## Trigger
`/research <topic>`

## Workflow

### Step 1: Generate Initial Framework from Model Knowledge
Based on topic, use model's existing knowledge to generate:
- Main research objects/items list in this domain
- Suggested research field framework

Output {step1_output}, use request_user_input to confirm:
- Need to add/remove items?

# Research Add Fields - Supplement Research Fields

## Trigger
`/research-add-fields`

## Workflow

### Step 1: Auto-locate Fields File
Find `*/fields.yaml` file in current working directory, auto-read existing fields definitions.

### Step 2: Get Supplement Source
Ask user to choose:
- **A. User direct input**: User provides field names and descriptions
- **B. Web Search**: Launch agent to search common fields in this domain

# Research Add Items - Supplement Research Objects

## Trigger
`/research-add-items`

## Workflow

### Step 1: Auto-locate Outline
Find `*/outline.yaml` file in current working directory, auto-read.

### Step 2: Get Supplement Sources in Parallel
Simultaneously:
- **A. Ask user**: What items to supplement? Any specific names?
- **B. Ask if Web Search needed**: Launch agent to search for more items?

# Research Deep - Deep Research

## Trigger
`/research-deep`

## Workflow

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

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

# Research Report - Summary Report

## Trigger
`/research-report`

## Workflow

### Step 1: Locate Results Directory
Find `*/outline.yaml` in current working directory, read topic and output_dir config.

### Step 2: Scan Optional Summary Fields
Read all JSON results, extract fields suitable for TOC display (numeric, short metrics), e.g.:
- github_stars
- google_scholar_cites

# Research Skill - Preliminary Research

## Trigger
`/research <topic>`

## Workflow

### Step 1: Generate Initial Framework from Model Knowledge
Based on topic, use model's existing knowledge to generate:
- Main research objects/items list in this domain
- Suggested research field framework

Output {step1_output}, use AskUserQuestion to confirm:
- Need to add/remove items?

# Research Add Fields - Supplement Research Fields

## Trigger
`/research-add-fields`

## Workflow

### Step 1: Auto-locate Fields File
Find `*/fields.yaml` file in current working directory, auto-read existing fields definitions.

### Step 2: Get Supplement Source
Ask user to choose:
- **A. User direct input**: User provides field names and descriptions
- **B. Web Search**: Launch agent to search common fields in this domain

# Research Add Items - Supplement Research Objects

## Trigger
`/research-add-items`

## Workflow

### Step 1: Auto-locate Outline
Find `*/outline.yaml` file in current working directory, auto-read.

### Step 2: Get Supplement Sources in Parallel
Simultaneously:
- **A. Ask user**: What items to supplement? Any specific names?
- **B. Ask if Web Search needed**: Launch agent to search for more items?

# Research Deep - Deep Research

## Trigger
`/research-deep`

## Workflow

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

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

# Research Report - Summary Report

## Trigger
`/research-report`

## Workflow

### Step 1: Locate Results Directory
Find `*/outline.yaml` in current working directory, read topic and output_dir config.

### Step 2: Scan Optional Summary Fields
Read all JSON results, extract fields suitable for TOC display (numeric, short metrics), e.g.:
- github_stars
- google_scholar_cites

# Research Skill - 初步调研

## 触发方式
`/research <topic>`

## 执行流程

### Step 1: 模型内部知识生成初步框架
基于topic，利用模型已有知识生成：
- 该领域的主要研究对象/items列表
- 建议的调研字段框架

输出{step1_output}，使用AskUserQuestion确认：
- items列表是否需要增减？

# Research Add Fields - 补充调研字段

## 触发方式
`/research-add-fields`

## 执行流程

### Step 1: 自动定位Fields文件
在当前工作目录查找 `*/fields.yaml` 文件，自动读取现有fields定义。

### Step 2: 获取补充来源
询问用户选择：
- **A. 用户直接输入**：用户提供字段名称和描述
- **B. Web Search搜索**：启动web-search-agent搜索该领域常用字段

# Research Add Items - 补充调研对象

## 触发方式
`/research-add-items`

## 执行流程

### Step 1: 自动定位Outline
在当前工作目录查找 `*/outline.yaml` 文件，自动读取。

### Step 2: 并行获取补充来源
同时进行：
- **A. 询问用户**：需要补充哪些items？有具体名称吗？
- **B. 询问是否需要Web Search**：是否启动agent搜索更多items？

# 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

# Research Report - 汇总报告

## 触发方式
`/research-report`

## 执行流程

### Step 1: 定位结果目录
在当前工作目录查找 `*/outline.yaml`，读取topic和output_dir配置。

### Step 2: 扫描可选摘要字段
读取所有JSON结果，提取适合在目录中显示的字段（数值型、简短指标），例如：
- github_stars
- google_scholar_cites