industry-deep-analysis

Industry In-Depth Analysis Skill

Skill Positioning

This skill is intended forprofessional researchers, investment institutions, industry analysts, providing comprehensive in-depth industry analysis. By invoking multiple professional financial data tools and industry databases, it systematically analyzes industry investment value, competitive landscape, and development trends from eight dimensions, generating institutional-grade in-depth industry research reports.

Trigger Scenarios

This skill is triggered when the user presents any of the following expressions:

"Do an in-depth analysis of XX industry"
"Analyze XX industry"
"XX industry in-depth research"
"Research the investment value of XX industry"
"XX industry comprehensive analysis"
"Help me do an in-depth study on XX industry"
"XX industry investment opportunity analysis"
"XX industry development trend analysis"
Other requests requiring multi-dimensional in-depth analysis of an industry

Applicable Industry Types：

Industries related to A-shares/Hong Kong stocks/US stocks (such as the baijiu industry, new energy vehicle industry, semiconductor industry, etc.)
Emerging industries (such as artificial intelligence, cloud computing, biomedicine, etc.)
Traditional industries (such as real estate, banking, insurance, coal, etc.)
Sub-sectors (such as photovoltaic inverters, lithium battery separators, CXO, etc.)

Data Acquisition Strategy

This skill adopts a multi-tool collaborative data acquisition strategy to ensure data authority and comprehensiveness:

Core Data Sources

Core principle: All industry data, market size, competitive landscape, and financial valuation data are preferentially obtained through the gildata-aidata service.

Data Source	Purpose	Priority
gildata-aidata	Industry overview, market size, competitive landscape, industry trends, constituent stock screening, financial valuation	First priority
`web_search`	Industry policy information, latest research reports, international comparison data, supplementary information	Supplementary data source
`asset-service`	Business registration information, equity penetration, and basic information of major enterprises in the industry	Auxiliary data source

Data Acquisition Priority

Industry Data and Scale: prefer gildata-aidata IndustryOverview / IndustryMarketScale
Competitive Landscape and Constituent Stocks: prefer gildata-aidata IndustryCompetition / StockPool
Industry Trends and Research Reports: prefer gildata-aidata IndustryTrend / ResearchReport
Enterprise Information：gildata-aidata CompanyProfile or asset-service
Policy and Macroeconomy: supplemented by web_search

Analysis Framework (Eight Dimensions)

I. Industry Overview

Data Acquisition：

使用 gildata-aidata IndustryOverview 查询：
- "[行业名称] 行业定义 分类 发展历程 生命周期"

使用 web_search 查询：
- "[行业名称] 行业介绍 基本概念 产业链 宏观环境"

Analysis Points：

Industry Definition and Classification
- Clear definition of the industry
- Industry sub-sectors/sub-industries
- The industry's classification in the national economy (such as the Shenwan industry classification)
Industry Development History
- Industry origin and development stages
- Important historical milestones and turning points
- Current life cycle stage (introduction/growth/maturity/decline)
Industry characteristics
- Industry business model
- Industry profit model
- Industry cyclical characteristics

II. Market size

Data acquisition：

使用 gildata-aidata IndustryMarketScale 查询：
- "[行业名称] 市场规模 市场空间 增速 历史数据 预测"

使用 web_search 查询：
- "[行业名称] 市场规模 2024 2025 2026 预测 增长率 行业报告"

Analysis points：

Current market size
- Market capacity (amount/volume)
- Market size changes in the past 3-5 years
- Market size growth rate
Market drivers
- Demand drivers
- Supply drivers
- Policy drivers
Future market space
- Market size forecast for the next 3-5 years
- Market growth rate forecast
- Market ceiling judgment
Penetration rate analysis(if applicable)
- Current penetration rate level
- Room for penetration rate improvement
- Speed of penetration rate improvement

III. Industry chain analysis

Data acquisition：

使用 gildata-aidata IndustryChain 查询：
- "[行业名称] 产业链 上游 下游 价值链"

使用 web_search 查询：
- "[行业名称] 产业链图谱 价值链分布 关键节点"

Analysis points：

Industry chain structure
- Upstream: raw materials, equipment, technology, etc.
- Midstream: manufacturing, processing, assembly, etc.
- Downstream: applications, channels, end customers, etc.
Value chain distribution
- Distribution of added value across segments
- Profit distribution
- Comparison of bargaining power
Key segments of the industry chain
- Bottleneck segments
- High-barrier segments
- High-growth segments
Industry chain trends
- Vertical integration trends
- Industry chain relocation trends
- Supply chain security considerations

IV. Competitive landscape

Data acquisition：

使用 gildata-aidata IndustryCompetition 查询：
- "[行业名称] 竞争格局 市场集中度 CR3 CR5 主要企业"

使用 gildata-aidata StockPool 查询：
- 筛选行业内上市公司及财务数据

使用 web_search 查询：
- "[行业名称] 市场份额 竞争态势 龙头企业"

Analysis points：

Market concentration
- CR3/CR5/CR10 (concentration ratio of top 3/5/10 companies)
- Trends in industry concentration
- Comparison with developed countries
Major participants
- Industry leaders and market share
- List of major listed companies
- Major non-listed companies
Competitive dynamics
- Type of competitive landscape (perfect competition/monopolistic competition/oligopoly/monopoly)
- Competitive focus (price/technology/brand/channel)
- Intensity of competition
Comparative analysis of companies
- Comparison of key financial indicators of major companies
- Comparison of competitive advantages of major companies
- Comparison of strategic positioning of major companies

V. Industry trends

Data acquisition：

使用 gildata-aidata IndustryTrend 查询：
- "[行业名称] 发展趋势 技术趋势 未来方向 创新"

使用 web_search 查询：
- "[行业名称] 发展趋势 2025 2026 技术创新 需求变化 商业模式"

Analysis points：

Technology development trends
- Direction of core technology evolution
- Application of new technologies/new processes
- Speed of technological iteration
Demand change trends
- Changes in consumer demand
- Changes in customer preferences
- Emergence of new demand
Product/service trends
- Direction of product upgrades
- Service Innovation Directions
- Product Differentiation Trends
Business Model Trends
- Business Model Innovation
- Digital Transformation
- Platformization/Ecosystem Trends

VI. Barriers to Entry

Data Acquisition：

使用 web_search 查询：
- "[行业名称] 进入壁垒 行业门槛 竞争壁垒"

使用 gildata-aidata IndustryBarrier 查询（如可用）：
- "[行业名称] 技术壁垒 资质壁垒 资金壁垒"

Key Analysis Points：

Technical Barriers
- Core Technology Threshold
- Patent Protection Status
- Technical Accumulation Requirements
Capital Barriers
- Initial Investment Scale
- Working Capital Requirements
- Financing Difficulty
Qualification/License Barriers
- Industry Entry Requirements
- Qualification Certification Requirements
- Difficulty in Obtaining Licenses
Brand/Channel Barriers
- Brand Building Cycle
- Channel Building Difficulty
- Customer Switching Costs
Scale/Talent Barriers
- Economies of Scale Effects
- Difficulty in Acquiring Core Talent
- Management Experience Requirements

VII. Risk Factors

Data Acquisition：

使用 web_search 查询：
- "[行业名称] 风险因素 行业风险 投资风险"

使用 gildata-aidata IndustryRisk 查询（如可用）：
- "[行业名称] 政策风险 市场风险 技术风险"

Key Analysis Points：

Policy Risks
- Changes in Industrial Policy
- Tightening Regulatory Policies
- Impact of Trade Policies
Market Risks
- Demand Fluctuation Risk
- Price Fluctuation Risk
- Risk of Intensified Competition
Technical Risks
- Technology Iteration Risk
- Uncertainty of Technology Roadmap
- Risk of Technology Substitution
Operational Risks
- Raw Material Price Fluctuations
- Rising Labor Costs
- Environmental Compliance Costs
Financial Risks
- Overall Industry Debt Level
- Cash Flow Status
- Changes in Financing Environment

VIII. Investment Opportunities

Data Acquisition：

使用 gildata-aidata StockPool 查询：
- 筛选行业内优质上市公司及估值数据

使用 gildata-aidata ResearchReport 查询：
- "[行业名称] 投资建议 标的推荐 研报观点"

使用 web_search 查询：
- "[行业名称] 投资机会 细分赛道 估值分析"

Key Analysis Points：

Niche Sector Opportunities
- High-Growth Niche Tracks
- Undervalued Niche Sectors
- Emerging Opportunity Points
Investment Target Screening
- Industry Leaders
- High-Growth Targets
- Reasonably Valued Targets
Investment Timing Judgment
- Industry Cycle Position
- Valuation Level Assessment
- Catalyst Factors
Investment Strategy Recommendations
- Long-Term Allocation Value
- Phased Opportunities
- Risk Disclosure

Report Output Format

Generate a structured Markdown report, including the following sections:

# [行业名称] 深度分析报告

## 执行摘要
[200-300 字，概括行业核心特征、市场空间、竞争格局、发展趋势、投资建议]

## 一、行业概况
### 1.1 行业定义与分类
[行业定义、细分领域、行业分类]

### 1.2 行业发展历程
[发展阶段、重要节点、生命周期判断]

### 1.3 行业特征
[商业模式、盈利模式、周期性]

## 二、市场规模
### 2.1 当前市场规模
[表格：近 3-5 年市场规模及增速]
[分析文字]

### 2.2 市场驱动因素
[需求、供给、政策驱动分析]

### 2.3 未来市场空间
[表格：未来 3-5 年市场预测]
[天花板判断]

## 三、产业链分析
### 3.1 产业链结构
[产业链图谱描述]

### 3.2 价值链分布
[各环节附加值、利润分布]

### 3.3 产业链趋势
[整合、转移、安全等趋势]

## 四、竞争格局
### 4.1 市场集中度
[表格：CR3/CR5 数据及变化]

### 4.2 主要参与者
[表格：主要企业列表及市场份额]

### 4.3 竞争态势
[竞争格局类型、竞争焦点]

### 4.4 企业对比分析
[表格：主要企业财务指标对比]

## 五、行业趋势
### 5.1 技术发展趋势
[技术演进方向]

### 5.2 需求变化趋势
[需求变化分析]

### 5.3 产品/服务趋势
[产品升级方向]

### 5.4 商业模式趋势
[商业模式创新]

## 六、进入壁垒
### 6.1 技术壁垒
[技术门槛分析]

### 6.2 资金壁垒
[资金需求分析]

### 6.3 资质/牌照壁垒
[准入要求分析]

### 6.4 品牌/渠道壁垒
[品牌渠道分析]

### 6.5 综合壁垒评估
[壁垒高低判断]

## 七、风险因素
### 7.1 政策风险
[政策风险分析]

### 7.2 市场风险
[市场风险分析]

### 7.3 技术风险
[技术风险分析]

### 7.4 经营风险
[经营风险分析]

### 7.5 财务风险
[财务风险分析]

## 八、投资机会
### 8.1 细分领域机会
[高成长赛道识别]

### 8.2 投资标的筛选
[表格：推荐标的及理由]

### 8.3 投资时点判断
[周期位置、估值水平]

### 8.4 投资策略建议
[配置建议]

## 九、结论与建议
### 9.1 行业评级
[超配/标配/低配]

### 9.2 核心逻辑
[投资核心逻辑总结]

### 9.3 风险提示
[主要风险点]

---
**报告生成时间**: [YYYY-MM-DD]
**数据来源**: 行业数据优先来源于 gildata-aidata，其他信息来源于公开渠道
**免责声明**: 本报告仅供参考，不构成投资建议

Execution Process

Step 1: Confirm the Analysis Object

Extract the industry name from user input
Clarify the industry scope and boundaries
If the industry name is ambiguous, confirm with the user or define it yourself

Step 2: Industry Data Acquisition

Basic Industry Information：

调用 gildata-aidata IndustryOverview：
query: "[行业名称] 行业定义 分类 发展历程 生命周期"

Market Size Data：

调用 gildata-aidata IndustryMarketScale：
query: "[行业名称] 市场规模 市场空间 增速 历史数据 预测"

调用 web_search：
query: "[行业名称] 市场规模 2024 2025 2026 预测"

Step 3: Industry Chain and Competitive Landscape Analysis

Industry Chain Information：

调用 gildata-aidata IndustryChain：
query: "[行业名称] 产业链 上游 下游 价值链"

Competitive Landscape：

调用 gildata-aidata IndustryCompetition：
query: "[行业名称] 竞争格局 市场集中度 CR3 CR5 主要企业"

调用 gildata-aidata StockPool：
筛选行业内上市公司

调用 web_search：
query: "[行业名称] 竞争格局 市场份额"

Step 4: Industry Trend and Barrier Analysis

调用 gildata-aidata IndustryTrend：
query: "[行业名称] 发展趋势 技术趋势 未来方向 创新"

调用 web_search：
query: "[行业名称] 进入壁垒 行业门槛"

Step 5: Risk Information Acquisition

调用 web_search：
query: "[行业名称] 风险因素 行业风险 政策风险"

Step 6: Investment Opportunity Analysis

Target Screening：

调用 gildata-aidata StockPool：
筛选行业内优质上市公司

调用 gildata-aidata ResearchReport：
query: "[行业名称] 投资建议 标的推荐 估值分析"

Step 7: Report Writing

Write a complete report according to the above "Report Output Format", ensuring:

Data sources are annotated
Key data is presented in tables
Analysis logic is clear
Conclusions are clear
Risk disclosures are sufficient

Step 8: Report Delivery

Important: After the report is generated, output the complete Markdown report content directly in the conversation so that users can read it immediately.

Execution Method：

直接将完整的 Markdown 报告内容在对话中输出（使用 Markdown 格式渲染）

Note：

No need to send a file, simply display the complete report content directly in the conversation
After the report is generated, a summary of the core conclusions can be provided in the conversation to help users quickly grasp the key points
If the report is too long (over 15,000 characters), first output the executive summary and core chapters in the conversation, then output the complete report

Step 9: Quality Check

Verify the accuracy of key data
Check logical consistency
Ensure full coverage of the eight major dimensions
Verify the sufficiency of risk disclosures

gildata-aidata Tool Invocation Guide

Common Query Templates for Industry Analysis

# 行业概览
finx gildata-aidata IndustryOverview --body '{"query": "{行业名称} 行业定义 分类 发展历程"}'

# 市场规模
finx gildata-aidata IndustryMarketScale --body '{"query": "{行业名称} 市场规模 市场空间 增速 预测"}'

# 产业链分析
finx gildata-aidata IndustryChain --body '{"query": "{行业名称} 产业链 上游 下游 价值链"}'

# 竞争格局
finx gildata-aidata IndustryCompetition --body '{"query": "{行业名称} 竞争格局 市场集中度 CR3 CR5"}'

# 成分股筛选
finx gildata-aidata StockPool --body '{"query": "{行业名称} 上市公司 成分股 财务数据"}'

# 行业趋势
finx gildata-aidata IndustryTrend --body '{"query": "{行业名称} 发展趋势 技术趋势 创新"}'

# 行业研报
finx gildata-aidata ResearchReport --body '{"query": "{行业名称} 研报 投资建议 估值"}'

Data Source Priority

Data Type	First Priority	Second Priority	Third Priority
Industry Overview/Definition	gildata-aidata `IndustryOverview`	Industry Associations	web_search
Market Size/Forecast	gildata-aidata `IndustryMarketScale`	iResearch/CIC, etc.	web_search
Industry Chain/Value Chain	gildata-aidata `IndustryChain`	Brokerage Research Reports	web_search
Competitive Landscape/Concentration	gildata-aidata `IndustryCompetition`	Industry Associations	web_search
Industry Trends/Technology	gildata-aidata `IndustryTrend`	Expert Interviews	web_search
Investment Targets/Valuation	gildata-aidata `StockPool`	East Money	Tonghuashun
Policy/Macro Environment	web_search	Government Official Websites	gildata-aidata

Precautions

Data Timeliness
- Prefer the latest data (2024, 2025, 2026)
- Annotate the data cutoff date
- For forecast data, clearly state that it is a forecast value
Data Cross-Validation
- Verify key industry data from multiple sources
- When data conflicts are found, rely on data from authoritative institutions
- Annotate data sources in the report
Professionalism and Objectivity
- Use professional terminology, but avoid excessive obscurity
- Maintain objectivity and neutrality, avoid excessive optimism/pessimism
- Clearly distinguish facts from opinions
Risk Disclosure
- Risk disclosure must be sufficient
- Do not provide guarantees of certain returns
- Clearly state "does not constitute investment advice"
Tool Usage Priority
- Industry data: prioritize gildata-aidata related tools
- Company information: prioritize gildata-aidata StockPool or asset-service
- Industry trends/policy: can be combined with web_search
- Avoid over-reliance on a single data source
Report delivery requirements
- Display the complete report content directly in the conversation
- No need to send files
- Use standard Markdown format for display in the conversation
Defining industry boundaries
- For broad industries (such as "technology industry"), further refinement is needed
- For niche industries, explain their relationship to the parent industry
- Clarify the industry statistical scope

Handling special cases

Case 1: Data retrieval failure

If a tool call fails:

Try using an alternative tool
If it still cannot be retrieved, state "data temporarily unavailable" in the report
Do not fabricate data

Case 2: Ambiguous industry definition

If the industry name entered by the user is too broad (such as "technology industry"):

Proactively confirm the specific sub-sector with the user
Or define the analysis scope yourself and explain it in the report
It is recommended to focus on a specific sub-sector

Case 3: Insufficient data for emerging industries

If analyzing emerging industries (such as AI large models, low-altitude economy, etc.):

Explain the data limitations
Rely more on web search to obtain information
Explain the data coverage scope in the report

Case 4: User requests simplification

If the user says "no need to make it so complex":

Keep the core analysis framework
Streamline the analysis depth of each dimension
Prioritize keeping the four core dimensions: market size, competitive landscape, trends, and opportunities

Example invocation

User input: "Do a deep analysis of the photovoltaic industry"

Skill execution:

Extract industry name: photovoltaic industry
Retrieve industry information: gildata-aidata IndustryOverview query="photovoltaic industry industry definition classification development history"
Retrieve market size: gildata-aidata IndustryMarketScale query="photovoltaic industry market size 2024 2025 2026 forecast"
Retrieve industry chain information: gildata-aidata IndustryChain query="photovoltaic industry industry chain map upstream downstream"
Retrieve competitive landscape: gildata-aidata IndustryCompetition query="photovoltaic industry competitive landscape market concentration CR3 CR5"
Retrieve constituent stocks: gildata-aidata StockPool screen listed companies in the photovoltaic industry
Retrieve industry trends: gildata-aidata IndustryTrend query="photovoltaic industry development trends technology trends"
Retrieve risk information: web_search query="photovoltaic industry risk factors policy risks"
Screen investment targets: gildata-aidata StockPool screen high-quality photovoltaic enterprises
Write the report: generate a complete Markdown report according to the eight dimensions
Deliver the report：
- Directly output the complete Markdown report content in the conversation
- No need to save files or send files

Skill update log

2026-05-11 update：

Core data source change: Change all industry data, market size, and competitive landscape queries to prioritize the gildata-aidata service
Added tool matrix: Establish a gildata-aidata tool query reference table for industry analysis (IndustryOverview, IndustryMarketScale, IndustryCompetition, IndustryTrend, StockPool, etc.)
Improve the invocation guide: Provide complete format specifications and common query templates for invoking the gildata-aidata industry analysis tools
Optimize the data retrieval sequence: Specify that gildata-aidata is prioritized for obtaining core industry data, and web_search is only used to supplement policy and macroeconomic information
Update the data source priority: Elevate gildata-aidata to the first-priority data source for industry data

Skill version：v2.0
Last updated：2026-05-11
Maintainer: Dianjin Intelligent Assistant

About this skill

Skill Positioning

Trigger Scenarios

Data Acquisition Strategy

Core Data Sources

Data Acquisition Priority

Analysis Framework (Eight Dimensions)

I. Industry Overview

II. Market size

III. Industry chain analysis

IV. Competitive landscape

V. Industry trends

VI. Barriers to Entry

VII. Risk Factors

VIII. Investment Opportunities

Report Output Format

Execution Process

Step 1: Confirm the Analysis Object

Step 2: Industry Data Acquisition

Step 3: Industry Chain and Competitive Landscape Analysis

Step 4: Industry Trend and Barrier Analysis

Step 5: Risk Information Acquisition

Step 6: Investment Opportunity Analysis

Step 7: Report Writing

Step 8: Report Delivery

Step 9: Quality Check

gildata-aidata Tool Invocation Guide

Common Query Templates for Industry Analysis

Data Source Priority

Precautions

Handling special cases

Case 1: Data retrieval failure

Case 2: Ambiguous industry definition

Case 3: Insufficient data for emerging industries

Case 4: User requests simplification

Example invocation

Skill update log