industry-research
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ChineseIndustry Research Skill
行业研究Skill
A comprehensive skill for conducting deep industry research across multiple sectors including consumer, technology, healthcare, and finance industries.
这是一项可针对消费、科技、医疗和金融等多个领域开展深度行业研究的综合技能。
Description
技能描述
This skill provides reusable methodologies, frameworks, and best practices for analyzing industry trends, identifying key market players, understanding market dynamics, tracking industry news, and forecasting future outlooks.
本Skill提供可复用的方法论、框架与最佳实践,用于分析行业趋势、识别核心市场参与者、理解市场动态、追踪行业新闻及预测未来发展前景。
Core Research Areas
核心研究领域
1. Industry Trends Analysis
1. 行业趋势分析
- Current market trends and growth patterns
- Emerging technologies and innovations
- Consumer behavior shifts
- Regulatory and policy changes
- Market disruptions and transformations
- 当前市场趋势与增长模式
- 新兴技术与创新成果
- 消费者行为转变
- 监管与政策变化
- 市场颠覆与转型
2. Key Companies & Market Leaders
2. 核心企业与市场领导者
- Market leaders and their market share
- Notable players and emerging competitors
- Competitive positioning
- Company performance metrics
- Strategic initiatives and investments
- 市场领导者及其市场份额
- 知名参与者与新兴竞争者
- 竞争定位
- 企业绩效指标
- 战略举措与投资
3. Market Dynamics
3. 市场动态
- Market size and growth rates
- Key performance indicators (KPIs)
- Market segmentation
- Pricing trends
- Supply chain dynamics
- 市场规模与增长率
- 关键绩效指标(KPIs)
- 市场细分
- 定价趋势
- 供应链动态
4. Industry News & Developments
4. 行业新闻与发展动态
- Recent industry news and events
- Regulatory changes and compliance updates
- Major mergers and acquisitions
- Product launches and innovations
- Industry conferences and announcements
- 近期行业新闻与事件
- 监管变化与合规更新
- 重大并购活动
- 产品发布与创新
- 行业会议与公告
5. Future Outlook
5. 未来展望
- Emerging trends and opportunities
- Market predictions and forecasts
- Technology disruptions on the horizon
- Regulatory changes expected
- Investment and growth opportunities
- 新兴趋势与机遇
- 市场预测与展望
- 即将到来的技术颠覆
- 预期监管变化
- 投资与增长机遇
Research Methodology
研究方法论
Phase 1: Source Identification
阶段1:来源识别
-
Industry-Specific News Sources
- Identify top industry publications
- Track industry trade publications
- Monitor industry association websites
- Follow industry analysts and thought leaders
-
Market Data Sources
- Financial data platforms (Yahoo Finance, Finviz)
- Market research reports (Gartner, Statista, industry reports)
- Government data sources
- Industry databases
-
Company Information Sources
- Company websites and investor relations
- Financial filings and reports
- Industry databases (Crunchbase, PitchBook)
- News aggregators
-
行业特定新闻来源
- 确定顶级行业出版物
- 追踪行业贸易出版物
- 监控行业协会网站
- 关注行业分析师与意见领袖
-
市场数据来源
- 金融数据平台(Yahoo Finance、Finviz)
- 市场研究报告(Gartner、Statista、行业报告)
- 政府数据来源
- 行业数据库
-
企业信息来源
- 企业官网与投资者关系页面
- 财务申报与报告
- 行业数据库(Crunchbase、PitchBook)
- 新闻聚合器
Phase 2: Data Collection
阶段2:数据收集
-
Browser Automation Workflow
- Navigate to each source using Playwright MCP servers
- Capture screenshots for visual analysis
- Extract structured data from pages
- Verify data accuracy against screenshots
-
Screenshot Analysis
- Always capture screenshots before extraction
- Use Read tool to visually analyze screenshots
- Extract only what is visible in screenshots
- Verify extracted data matches screenshot content
-
浏览器自动化工作流
- 使用Playwright MCP服务器访问各来源
- 捕获截图用于视觉分析
- 从页面提取结构化数据
- 对照截图验证数据准确性
-
截图分析
- 提取前务必捕获截图
- 使用Read工具对截图进行视觉分析
- 仅提取截图中可见的内容
- 验证提取的数据与截图内容一致
Phase 3: Analysis & Synthesis
阶段3:分析与合成
-
Trend Identification
- Group related information by theme
- Identify patterns across multiple sources
- Distinguish between trends and isolated events
- Note confidence levels based on source diversity
-
Market Analysis
- Compile market size and growth data
- Compare metrics across companies
- Identify market leaders and their positions
- Analyze competitive dynamics
-
Insight Generation
- Synthesize information into actionable insights
- Connect trends to market implications
- Identify opportunities and threats
- Provide forward-looking analysis
-
趋势识别
- 按主题分组相关信息
- 识别多来源间的模式
- 区分趋势与孤立事件
- 根据来源多样性标注置信度
-
市场分析
- 汇总市场规模与增长数据
- 跨企业对比指标
- 识别市场领导者及其定位
- 分析竞争动态
-
洞察生成
- 将信息合成为可执行的洞察
- 关联趋势与市场影响
- 识别机遇与威胁
- 提供前瞻性分析
Industry-Specific Frameworks
特定行业框架
Consumer Industry Framework
消费行业框架
- Focus Areas: Retail performance, e-commerce growth, consumer spending, brand analysis
- Key Metrics: Same-store sales, online vs. offline growth, consumer sentiment, brand value
- Sources: Retail Dive, Consumer Reports, NRF, Statista consumer data
- 重点领域: 零售业绩、电商增长、消费者支出、品牌分析
- 核心指标: 同店销售额、线上vs线下增长、消费者情绪、品牌价值
- 来源: Retail Dive、Consumer Reports、NRF、Statista消费者数据
Technology Industry Framework
科技行业框架
- Focus Areas: Innovation trends, market leaders, sector performance, emerging technologies
- Key Metrics: Market share, R&D spending, patent activity, adoption rates
- Sources: TechCrunch, The Verge, Ars Technica, Gartner reports
- 重点领域: 创新趋势、市场领导者、板块业绩、新兴技术
- 核心指标: 市场份额、研发投入、专利活动、采用率
- 来源: TechCrunch、The Verge、Ars Technica、Gartner报告
Healthcare Industry Framework
医疗行业框架
- Focus Areas: Healthcare trends, regulatory changes, biotech developments, market dynamics
- Key Metrics: FDA approvals, clinical trial results, market size, growth rates
- Sources: STAT News, Fierce Healthcare, Healthcare Dive, industry reports
- 重点领域: 医疗趋势、监管变化、生物技术发展、市场动态
- 核心指标: FDA批准、临床试验结果、市场规模、增长率
- 来源: STAT News、Fierce Healthcare、Healthcare Dive、行业报告
Finance Industry Framework
金融行业框架
- Focus Areas: Banking trends, fintech innovation, regulatory changes, market performance
- Key Metrics: Assets under management, loan growth, fintech adoption, regulatory compliance
- Sources: American Banker, Financial Times banking, Fintech News, industry reports
- 重点领域: 银行业趋势、金融科技创新、监管变化、市场表现
- 核心指标: 资产管理规模、贷款增长、金融科技采用率、合规性
- 来源: American Banker、Financial Times banking、Fintech News、行业报告
Best Practices
最佳实践
Data Quality Standards
数据质量标准
- ✅ All data should be current (latest available)
- ✅ Verify data against multiple sources when possible
- ✅ Extract only what is visible in screenshots
- ✅ Note data recency and source reliability
- ✅ Distinguish between facts and opinions
- ✅ 所有数据需为最新可用数据
- ✅ 尽可能通过多来源验证数据
- ✅ 仅提取截图中可见的内容
- ✅ 标注数据时效性与来源可靠性
- ✅ 区分事实与观点
Research Workflow
研究工作流
- Start Broad: Begin with industry overview and major trends
- Narrow Focus: Drill down into specific companies and metrics
- Cross-Reference: Verify information across multiple sources
- Synthesize: Combine insights into coherent analysis
- Document: Save all screenshots and raw data for reference
- 从宽到窄: 从行业概况与主要趋势入手
- 聚焦细分: 深入研究特定企业与指标
- 交叉验证: 跨多来源验证信息
- 合成分析: 将洞察整合成连贯的分析内容
- 文档留存: 保存所有截图与原始数据以供参考
Source Evaluation
来源评估
- Primary Sources: Company websites, financial filings, official reports
- Secondary Sources: News articles, industry publications, analyst reports
- Tertiary Sources: Aggregators, summaries, third-party analysis
- Reliability: Prioritize primary sources, cross-check secondary sources
- 一手来源: 企业官网、财务申报、官方报告
- 二手来源: 新闻文章、行业出版物、分析师报告
- 三手来源: 聚合器、摘要、第三方分析
- 可靠性: 优先使用一手来源,交叉验证二手来源
Output Structure
输出结构
All research outputs follow this directory structure:
outputs/
└── <agent_name>/
└── <customer_name>/
├── reports/ # Final markdown research reports
├── scripts/ # Generated research code
├── raw/ # JSON/CSV data files
└── screenshots/ # PNG screenshots of sources所有研究输出遵循以下目录结构:
outputs/
└── <agent_name>/
└── <customer_name>/
├── reports/ # 最终Markdown研究报告
├── scripts/ # 生成的研究代码
├── raw/ # JSON/CSV数据文件
└── screenshots/ # 来源的PNG截图Report Template
报告模板
markdown
undefinedmarkdown
undefined[Industry] Research Report
[行业] 研究报告
Generated: [Date/Time]
Research Period: [Date range]
Sources Analyzed: [List of sources]
生成时间: [日期/时间]
研究周期: [日期范围]
分析来源: [来源列表]
Executive Summary
执行摘要
[2-3 paragraph overview of key findings]
[2-3段关键发现概述]
Industry Trends
行业趋势
[Current trends with analysis and sources]
[当前趋势及分析与来源]
Key Companies & Market Leaders
核心企业与市场领导者
[Top companies with market position and analysis]
[头部企业及其市场定位与分析]
Market Dynamics
市场动态
[Market size, growth rates, key metrics with sources]
[市场规模、增长率、核心指标及来源]
Recent Developments
近期发展动态
[Industry news and events with dates and sources]
[行业新闻与事件及日期和来源]
Future Outlook
未来展望
[Emerging trends, predictions, and opportunities]
[新兴趋势、预测与机遇]
Source Attribution
来源归因
[List of all sources and URLs used]
undefined[所有使用的来源及URL列表]
undefinedCode Examples
代码示例
Basic Industry Research Workflow
基础行业研究工作流
python
import asyncio
from playwright.async_api import async_playwright
async def research_industry_trends(industry_sources):
"""
Research industry trends from multiple sources.
Args:
industry_sources (list): List of URLs to research
Returns:
dict: Research findings organized by source
"""
findings = {}
async with async_playwright() as p:
browser = await p.chromium.launch()
page = await browser.new_page(viewport={"width": 1920, "height": 1080})
for source_url in industry_sources:
try:
# Navigate and capture
await page.goto(source_url, wait_until="domcontentloaded", timeout=120000)
await page.screenshot(path=f"screenshot_{source_url.replace('/', '_')}.png", full_page=True)
# Extract data (implement based on page structure)
# ... extraction logic ...
findings[source_url] = extracted_data
except Exception as e:
print(f"Error researching {source_url}: {e}")
await browser.close()
return findingspython
import asyncio
from playwright.async_api import async_playwright
async def research_industry_trends(industry_sources):
"""
Research industry trends from multiple sources.
Args:
industry_sources (list): List of URLs to research
Returns:
dict: Research findings organized by source
"""
findings = {}
async with async_playwright() as p:
browser = await p.chromium.launch()
page = await browser.new_page(viewport={"width": 1920, "height": 1080})
for source_url in industry_sources:
try:
# Navigate and capture
await page.goto(source_url, wait_until="domcontentloaded", timeout=120000)
await page.screenshot(path=f"screenshot_{source_url.replace('/', '_')}.png", full_page=True)
# Extract data (implement based on page structure)
# ... extraction logic ...
findings[source_url] = extracted_data
except Exception as e:
print(f"Error researching {source_url}: {e}")
await browser.close()
return findingsMarket Data Extraction
市场数据提取
python
async def extract_market_metrics(page, selector_mapping):
"""
Extract market metrics from a financial data page.
Args:
page: Playwright page object
selector_mapping (dict): Mapping of metric names to CSS selectors
Returns:
dict: Extracted metrics
"""
metrics = {}
for metric_name, selector in selector_mapping.items():
try:
element = await page.query_selector(selector)
if element:
text = await element.inner_text()
metrics[metric_name] = text.strip()
except Exception as e:
print(f"Error extracting {metric_name}: {e}")
return metricspython
async def extract_market_metrics(page, selector_mapping):
"""
Extract market metrics from a financial data page.
Args:
page: Playwright page object
selector_mapping (dict): Mapping of metric names to CSS selectors
Returns:
dict: Extracted metrics
"""
metrics = {}
for metric_name, selector in selector_mapping.items():
try:
element = await page.query_selector(selector)
if element:
text = await element.inner_text()
metrics[metric_name] = text.strip()
except Exception as e:
print(f"Error extracting {metric_name}: {e}")
return metricsCommon Research Tasks
常见研究任务
1. Industry Trend Analysis
1. 行业趋势分析
- Identify recurring themes across multiple sources
- Track trend evolution over time
- Distinguish between fads and lasting trends
- Analyze trend drivers and implications
- 识别多来源中的重复主题
- 追踪趋势随时间的演变
- 区分一时潮流与长期趋势
- 分析趋势驱动因素与影响
2. Competitive Landscape Mapping
2. 竞争格局映射
- Identify market leaders and their positions
- Map competitive relationships
- Analyze market share distribution
- Identify emerging competitors
- 识别市场领导者及其定位
- 绘制竞争关系图
- 分析市场份额分布
- 识别新兴竞争者
3. Market Size Estimation
3. 市场规模估算
- Gather market size data from multiple sources
- Compare estimates across sources
- Note methodology differences
- Provide range estimates when sources differ
- 从多来源收集市场规模数据
- 对比不同来源的估算值
- 标注方法论差异
- 当来源数据不同时提供范围估算
4. Regulatory Impact Assessment
4. 监管影响评估
- Track regulatory changes and proposals
- Assess impact on industry players
- Identify compliance requirements
- Forecast regulatory trends
- 追踪监管变化与提案
- 评估对行业参与者的影响
- 识别合规要求
- 预测监管趋势
Integration with Agents
与Agent的集成
This skill is designed to be used by specialized industry researcher agents:
- - Consumer/retail industry
consumer_researcher.md - - Technology industry
tech_researcher.md - - Healthcare/biotech industry
healthcare_researcher.md - - Finance/banking industry
finance_researcher.md
Each agent applies this skill's methodologies to their specific industry domain.
本Skill专为专业行业研究Agent设计使用:
- - 消费/零售行业
consumer_researcher.md - - 科技行业
tech_researcher.md - - 医疗/生物技术行业
healthcare_researcher.md - - 金融/银行业
finance_researcher.md
每个Agent会将本Skill的方法论应用于其特定的行业领域。
Dependencies
依赖项
- Playwright for browser automation
- Screenshot capture capabilities
- Visual analysis tools (Read tool)
- Data extraction and processing capabilities
- 用于浏览器自动化的Playwright
- 截图捕获功能
- 视觉分析工具(Read tool)
- 数据提取与处理能力
Performance Notes
性能说明
- Research multiple sources in parallel when possible
- Cache screenshots for reference
- Save raw data for future analysis
- Organize findings by research area for easy access
- 尽可能并行研究多个来源
- 缓存截图以供参考
- 保存原始数据用于未来分析
- 按研究领域整理发现,便于访问