/plan-research
为研究主题创建详细的执行计划,包括子主题分解、智能体部署策略
$ npx -y skills add liangdabiao/Claude-Code-Stock-Deep-Research-Agent --agent claude-codeHow it fires
How this command gets triggered: by you, by Claude, or both.
- Fires itselfClaude auto-loads it when your prompt matches the work.
- You can call itInvoke it directly when you want it.
- Slash command
/plan-research
Context preview
What this command does when you run it.
为研究主题创建详细的执行计划,包括子主题分解、智能体部署策略
Command definition
plan-research.mddescription: 为研究主题创建详细的执行计划,包括子主题分解、智能体部署策略
argument-hint: [已结构化的研究提示词]
Research Planning
Create a detailed research execution plan for the given structured research prompt.
Structured Prompt
$ARGUMENTS
Your Task
Use the **research-executor** skill (Phase 2: Retrieval Planning only) to:
1. **Decompose the Main Question**: Break down into 3-7 subtopics based on SPECIFIC_QUESTIONS
2. **Generate Search Queries**: Create specific search queries for each subtopic
3. **Identify Data Sources**: Select appropriate sources based on CONSTRAINTS
4. **Create Research Plan**:
- List subtopics with research questions
- Specify search queries for each subtopic
- Identify target sources (academic, industry, news, etc.)
- Define multi-agent deployment strategy
- Estimate timeline
5. **Present Plan for Approval**: Show the plan and ask if user wants to proceed
Output Format
## Research Plan
### Subtopics to Research:
1. **[Subtopic 1 Name]**
- Research questions: [specific questions]
- Search queries: [query 1, query 2, query 3]
- Target sources: [source types]
2. **[Subtopic 2 Name]**
- Research questions: [specific questions]
- Search queries: [query 1, query 2, query 3]
- Target sources: [source types]
...
### Multi-Agent Deployment Strategy:
- **Total Agents**: [number]
- **Agent Types**: [web research, academic, verification]
- **Expected Timeline**: [estimate]
### Output Structure:
[Describe the folder and file structure]
Ready to proceed? (Yes/No/Modifications needed)
Create the research plan now.
Read more
description: 为研究主题创建详细的执行计划,包括子主题分解、智能体部署策略 argument-hint: [已结构化的研究提示词]
Research Planning
Create a detailed research execution plan for the given structured research prompt.
Structured Prompt
$ARGUMENTS
Your Task
Use the **research-executor** skill (Phase 2: Retrieval Planning only) to:
1. **Decompose the Main Question**: Break down into 3-7 subtopics based on SPECIFIC_QUESTIONS
2. **Generate Search Queries**: Create specific search queries for each subtopic
3. **Identify Data Sources**: Select appropriate sources based on CONSTRAINTS
4. **Create Research Plan**:
- List subtopics with research questions
- Specify search queries for each subtopic
- Identify target sources (academic, industry, news, etc.)
- Define multi-agent deployment strategy
- Estimate timeline
5. **Present Plan for Approval**: Show the plan and ask if user wants to proceed
Output Format
## Research Plan ### Subtopics to Research: 1. **[Subtopic 1 Name]** - Research questions: [specific questions] - Search queries: [query 1, query 2, query 3] - Target sources: [source types] 2. **[Subtopic 2 Name]** - Research questions: [specific questions] - Search queries: [query 1, query 2, query 3] - Target sources: [source types] ... ### Multi-Agent Deployment Strategy: - **Total Agents**: [number] - **Agent Types**: [web research, academic, verification] - **Expected Timeline**: [estimate] ### Output Structure: [Describe the folder and file structure] Ready to proceed? (Yes/No/Modifications needed)
Create the research plan now.
Investment Research Edition - 专业股票投资尽调系统 ⚖️ 免责声明 本研究报告不构成投资建议或推荐。所有投资存在风险,包括本金损失。 重要提示: 本报告仅供教育和信息用途 部分数据需要通过官方渠道验证 过往业绩不代表未来表现 投资决策前请自行进行尽职调查 建议咨询合格的财务顾问 🎓 研究框架 本研究基于 Claude Code Deep Research 系统: 方法论: 8阶段股票投资尽调框架 智能体: 28个并行研究智能体 工具: WebSearch、WebFetch、综合分析

