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tracking-industry-trends追踪行业趋势

Agent Skill

tracking-industry-trends 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

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来源可访问

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通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:tracking-industry-trends(追踪行业趋势)
来源仓库:https://github.com/jesseotremblay/claude-skills
仓库路径:skills/tracking-industry-trends
安装命令:
npx skills add https://github.com/jesseotremblay/claude-skills --skill tracking-industry-trends
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

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skills.shnpx skills
npx skills add https://github.com/jesseotremblay/claude-skills --skill tracking-industry-trends

简介

用于查找、检索和筛选相关信息。

  • 适合在需要快速定位关键词或任务场景时使用。
  • 可结合来源仓库和原始 README 继续核验具体用法。
  • 安装命令:npx skills add https://github.com/jesseotremblay/claude-skills --skill tracking-industry-trends
  • 建议确认权限范围和是否执行命令后再使用

SKILL.md

Tracking Industry Trends

This skill identifies and analyzes industry trends to spot emerging opportunities, predict market shifts, and assess strategic implications using systematic trend monitoring and forecasting methods.

When to Use This Skill

Invoke this skill when the user:

  • Requests industry trend analysis or forecasting
  • Wants to identify emerging trends or technologies
  • Asks about market shifts or disruptions
  • Needs to assess future market direction
  • Mentions weak signals, early indicators, or trend spotting
  • Wants to understand technology adoption patterns
  • Asks "what's next" or "where is the market heading"
  • Needs regulatory or policy trend analysis

Core Trend Activities

Trend Identification and Classification

Systematically identify and categorize trends:

Steps:

  1. Define industry or market scope for trend monitoring
  2. Gather signals from multiple sources (news, research, events)
  3. Identify recurring themes and patterns
  4. Classify trends by type and impact area
  5. Assess trend strength and momentum
  6. Determine trend lifecycle stage
  7. Prioritize trends by relevance and impact

Trend Classification:

# Trend Analysis: [Industry/Market]

## Macro Trends (Broad, long-term forces)

### Trend 1: [Name]
- **Description:** [What is changing]
- **Drivers:** [What's causing this trend]
- **Impact areas:** [What sectors/activities affected]
- **Timeline:** [5-10 years typically]
- **Examples:** [Specific manifestations]
- **Strength:** [Weak/Moderate/Strong]

## Technology Trends

### Trend 1: [Name]
- **Technology:** [What technology]
- **Adoption stage:** [Early/Growing/Mainstream/Mature]
- **Use cases:** [How it's being applied]
- **Enablers:** [What's making adoption possible]
- **Barriers:** [What's slowing adoption]
- **Timeline to mainstream:** [X years]

## Market Trends

### Trend 1: [Name]
- **Type:** [Customer behavior, business model, competitive dynamic]
- **Evidence:** [Data points, examples]
- **Growth rate:** [XX% CAGR or velocity indicator]
- **Geographic spread:** [Where it's happening]
- **Demographic:** [Who's driving it]

## Regulatory/Policy Trends

### Trend 1: [Name]
- **Change type:** [New regulation, policy shift, enforcement]
- **Geography:** [Where applicable]
- **Timeline:** [When it takes effect]
- **Compliance requirements:** [What's required]
- **Industry impact:** [How it affects business]

## Convergence Trends
(Trends that intersect and amplify each other)

**[Trend A] + [Trend B] = [Emergent opportunity/threat]**
- Description: [How trends combine]
- Implications: [What this means]

Weak Signal Detection

Identify early indicators of emerging trends:

Steps:

  1. Monitor edge sources (research papers, patents, niche publications)
  2. Track anomalies and outliers in data
  3. Observe shifts in language and framing
  4. Identify early adopter behavior
  5. Watch for small changes that could scale
  6. Connect disparate signals into patterns
  7. Assess signal vs. noise

Weak Signal Indicators:

  • New terminology appearing frequently
  • Small startups in previously ignored niches
  • Patent filing increases in specific areas
  • Academic research acceleration
  • Early adopter community growth
  • Regulatory inquiry or pilot programs
  • Adjacent industry adoption (signal of crossover)
  • Vendor/investor interest upticks

Output Format:

# Weak Signal Report: [Topic]

## Signal Detected: [Name]

**What we're seeing:**
- [Observation 1 with source]
- [Observation 2 with source]
- [Observation 3 with source]

**Why it might matter:**
[Potential implications if signal strengthens]

**Evidence strength:** Low/Medium/High
**Confidence:** Low/Medium/High

**Watch indicators:**
(What to monitor to validate signal)
- [ ] [Indicator 1]
- [ ] [Indicator 2]
- [ ] [Indicator 3]

**Timeline:**
- If signal is real: [Expected timeline to significance]
- Next check-in: [When to reassess]

**Recommended action:**
- [ ] Monitor only
- [ ] Deeper research
- [ ] Experimental response
- [ ] Strategic planning

Technology Adoption Curve Analysis

Assess where technologies are in adoption lifecycle:

Steps:

  1. Identify the technology or innovation
  2. Research current adoption metrics (users, revenue, market share)
  3. Identify adopter segments (innovators → laggards)
  4. Assess crossing-the-chasm status
  5. Analyze adoption barriers and accelerators
  6. Project adoption trajectory
  7. Recommend timing for market entry or investment

Adoption Stages:

Technology Adoption Lifecycle

Innovators → Early Adopters → Early Majority → Late Majority → Laggards
(2.5%)        (13.5%)          (34%)            (34%)          (16%)
                    ↑
                The Chasm

ASSESSMENT: [Technology Name]

Current Stage: [Stage]
Evidence:
- Adoption rate: [X% of target market]
- Revenue/usage metrics: [Data]
- Customer profile: [Who's using it now]
- Market maturity indicators: [What we observe]

Chasm Status:
- [ ] Pre-chasm (early adopters only)
- [ ] Crossing the chasm (moving to mainstream)
- [ ] Post-chasm (mainstream adoption)

Adoption Drivers:
+ [Driver 1: e.g., cost reduction]
+ [Driver 2: e.g., regulatory push]

Adoption Barriers:
- [Barrier 1: e.g., high switching cost]
- [Barrier 2: e.g., lack of standards]

Projection:
- Mainstream adoption: [Year]
- Peak adoption: [Year]
- Rationale: [Why]

Strategic Implications:
- Best timing for entry: [Now/Wait/Passed]
- Investment recommendation: [Action]

Trend Impact Assessment

Evaluate how trends will affect markets and businesses:

Steps:

  1. Define the trend clearly
  2. Identify affected stakeholders and markets
  3. Assess positive and negative impacts
  4. Determine impact magnitude (transformative/significant/minor)
  5. Estimate timeline to impact
  6. Identify strategic responses
  7. Recommend actions (leverage/adapt/defend/ignore)

Impact Assessment Framework:

# Trend Impact Assessment: [Trend Name]

## Trend Summary
**What:** [Concise description]
**Why:** [Underlying drivers]
**Current state:** [Where we are now]
**Projected state (5 years):** [Where it's heading]

## Stakeholder Impact Analysis

### Impact on Customers
- **Behavior changes:** [How customer behavior will shift]
- **Need changes:** [How needs/priorities will evolve]
- **Opportunity:** [How to serve them better]

### Impact on Competitors
- **Who benefits:** [Which competitors positioned well]
- **Who struggles:** [Which competitors threatened]
- **Competitive dynamic shift:** [How landscape changes]

### Impact on Your Business
- **Opportunities:**
  1. [Opportunity 1]: [Description and potential value]
  2. [Opportunity 2]: [Description and potential value]

- **Threats:**
  1. [Threat 1]: [Description and risk level]
  2. [Threat 2]: [Description and risk level]

### Impact on Supply Chain/Ecosystem
- [How suppliers, partners, channels affected]

## Impact Magnitude

**Transformative** (fundamental change to business model/market)
**Significant** (major adjustment required)
**Moderate** (tactical response needed)
**Minor** (monitoring only)

**Assessment:** [Selected level]
**Reasoning:** [Why]

## Timeline Analysis

- **Weak signals now:** [Current early indicators]
- **Growing momentum (1-2 years):** [Expected developments]
- **Mainstream impact (3-5 years):** [Full effect timeline]
- **Maturity (5+ years):** [Stabilization]

## Strategic Response Options

### Option 1: [Lead/Leverage the Trend]
- Actions: [What to do]
- Investment: [Resources required]
- Risk: [Downside]
- Upside: [Potential benefit]

### Option 2: [Adapt/Respond to Trend]
- Actions: [What to do]
- Investment: [Resources required]
- Risk: [Downside]
- Upside: [Potential benefit]

### Option 3: [Monitor and Wait]
- Rationale: [Why wait]
- Watch indicators: [What to monitor]
- Decision trigger: [When to act]

## Recommendation
**Recommended strategy:** [Selected option]
**Priority:** High/Medium/Low
**Next steps:** [Immediate actions]

Trend Convergence Mapping

Identify how multiple trends intersect:

Steps:

  1. Identify 2-3 significant trends
  2. Analyze each trend independently
  3. Explore how trends interact and amplify
  4. Identify emergent patterns from convergence
  5. Assess combined impact vs. individual impacts
  6. Spot unique opportunities at intersections
  7. Recommend strategies to capitalize

Example:

TREND CONVERGENCE MAP

Trend A: Remote Work Adoption
Trend B: AI/Automation Advancement
Trend C: Cybersecurity Threats Increasing

INDIVIDUAL IMPACTS:
- Remote work → Distributed teams, collaboration tools boom
- AI/Automation → Productivity gains, job displacement
- Cybersecurity → Increased security spending, compliance

CONVERGENCE EFFECTS:

[Remote Work] × [AI/Automation]
→ AI-powered virtual collaboration (smart meeting tools, automated workflows)
→ Opportunity: Tools that blend remote work enablement with AI

[Remote Work] × [Cybersecurity]
→ Distributed security challenges (zero-trust, endpoint security)
→ Opportunity: Remote-first security solutions

[AI/Automation] × [Cybersecurity]
→ AI-powered threat detection, but also AI-powered attacks
→ Opportunity: AI security tools, adversarial AI defense

[All Three Converge]
→ Secure, AI-augmented, distributed work environments
→ Mega-opportunity: Platforms that solve all three simultaneously
→ Example: Secure AI workspace for distributed teams

Trend Research Methods

Method 1: Industry Publication Monitoring

  • Sources: Trade publications, industry news sites
  • Tools: WebSearch with date filters
  • Frequency: Weekly scans
  • Focus: Recurring themes, announcement patterns

Method 2: Research and Report Analysis

  • Sources: Analyst reports (Gartner, Forrester), academic papers
  • Tools: WebSearch for published research
  • Focus: Future predictions, market forecasts
  • Note: Look for consensus vs. outlier predictions

Method 3: Conference and Event Tracking

  • Sources: Industry conference agendas, keynote topics
  • Tools: WebSearch for conference programs
  • Focus: What topics are featured prominently
  • Insight: Agenda shifts signal trend shifts

Method 4: Patent and Research Paper Analysis

  • Sources: Patent databases, arXiv, academic journals
  • Tools: WebSearch with site filters
  • Focus: Innovation direction, R&D focus areas
  • Leading indicator: Shows what's 2-5 years out

Method 5: Funding and Investment Tracking

  • Sources: Crunchbase, PitchBook, VC announcements
  • Tools: WebSearch for funding news
  • Focus: Where capital is flowing
  • Insight: VC money often leads trends

Method 6: Social Listening

  • Sources: Twitter, LinkedIn, Reddit, Hacker News
  • Tools: WebSearch with site-specific queries
  • Focus: What practitioners are excited/worried about
  • Value: Real-time pulse on sentiment shifts

Trend Analysis Patterns

Pattern 1: Annual Trend Report

  • When: Yearly strategic planning
  • Approach:

1. Review major trends from past year 2. Identify emerging trends for coming year 3. Assess impact on business 4. Prioritize trends to watch 5. Recommend strategic initiatives

  • Output: Annual trend report with strategic implications

Pattern 2: Emerging Technology Assessment

  • When: Evaluating new technology for adoption
  • Approach:

1. Research technology and use cases 2. Assess adoption curve position 3. Identify early adopters and results 4. Evaluate fit for your context 5. Recommend timing and approach

  • Output: Technology assessment with go/no-go recommendation

Pattern 3: Disruption Threat Analysis

  • When: Sensing potential market disruption
  • Approach:

1. Identify weak signals of disruption 2. Assess disruptor characteristics 3. Model potential impact scenarios 4. Evaluate defensive/offensive options 5. Recommend response strategy

  • Output: Disruption analysis with contingency plans

Pattern 4: Opportunity Spotting

  • When: Looking for new market opportunities
  • Approach:

1. Scan for unmet needs in trend evolution 2. Identify convergence opportunities 3. Assess market timing 4. Evaluate competitive landscape 5. Size the opportunity

  • Output: Opportunity brief with business case

Pattern 5: Regulatory Trend Monitoring

  • When: Operating in regulated industries
  • Approach:

1. Track policy discussions and proposals 2. Monitor regulatory pilot programs 3. Assess likelihood and timeline 4. Evaluate compliance requirements 5. Prepare response plans

  • Output: Regulatory outlook with compliance roadmap

Trend Validation Checklist

Before finalizing trend analysis:

  • Trend validated from multiple independent sources
  • Historical context and drivers understood
  • Current adoption/penetration quantified
  • Timeline and trajectory assessed
  • Stakeholder impacts identified
  • Counter-trends or resistance factors noted
  • Strategic implications clearly stated
  • Weak signals distinguished from established trends
  • Uncertainty and confidence levels indicated
  • Actionable recommendations provided
  • Monitoring plan for trend evolution defined

Common Pitfalls to Avoid

Pitfall 1: Confusing Fads with Trends

  • ❌ Short-term hype without fundamentals
  • ✅ Sustained momentum with structural drivers

Pitfall 2: Extrapolating Linearly

  • ❌ Assuming current growth continues indefinitely
  • ✅ Considering S-curves, saturation, and inflection points

Pitfall 3: Ignoring Counter-Trends

  • ❌ Only looking at confirming evidence
  • ✅ Seeking disconfirming data and resistance

Pitfall 4: Over-weighting Recent Events

  • ❌ Treating latest news as definitive trend
  • ✅ Looking for sustained patterns over time

Pitfall 5: Siloed Trend Analysis

  • ❌ Analyzing trends in isolation
  • ✅ Understanding trend interactions and convergence

Pitfall 6: Passive Monitoring

  • ❌ Observing trends without strategic implications
  • ✅ Converting insights into actions and decisions

Trend Frameworks

Framework 1: PESTEL Analysis (Macro trend categorization)

  • Political: Government, policy, regulation
  • Economic: Growth, inflation, trade
  • Social: Demographics, culture, values
  • Technological: Innovation, automation, digital
  • Environmental: Climate, sustainability, resources
  • Legal: Laws, compliance, IP

Framework 2: Gartner Hype Cycle (Technology trend lifecycle)

  1. Innovation Trigger
  2. Peak of Inflated Expectations
  3. Trough of Disillusionment
  4. Slope of Enlightenment
  5. Plateau of Productivity

Framework 3: Three Horizons (Trend timeline framework)

  • Horizon 1: Current state, 0-1 year trends
  • Horizon 2: Emerging, 1-3 year trends
  • Horizon 3: Transformational, 3-5+ year trends

Examples

Example 1: AI Trend Analysis in Healthcare

Input: "What are the key AI trends in healthcare?"

Process:

  1. Search for recent AI healthcare news and research
  2. Identify recurring themes (diagnosis, drug discovery, operations)
  3. Assess adoption stage per use case
  4. Research regulatory considerations (FDA approvals)
  5. Analyze barriers (data privacy, liability, cost)
  6. Project adoption timeline
  7. Identify strategic implications

Output: Comprehensive AI in healthcare trend report with use case adoption curves, barriers, timeline, and strategic recommendations

Example 2: Weak Signal Detection - Passwordless Authentication

Input: "Monitor for emerging authentication trends"

Process:

  1. Scan security news and research
  2. Notice increasing mentions of "passwordless" and "passkeys"
  3. Track major companies implementing (Apple, Google, Microsoft)
  4. Research FIDO2 standard adoption
  5. Monitor user sentiment and adoption metrics
  6. Assess if signal strengthening (yes - major platform support)
  7. Evaluate implications for security products

Output: Weak signal report indicating passwordless authentication transitioning from weak signal to emerging trend, with timeline and recommendations

Additional Notes

  • Trends evolve through stages: weak signal → emerging → growing → mainstream → mature → declining
  • Set up regular trend scanning cadence (weekly for fast-moving industries)
  • Maintain a trend watch list with status updates
  • Balance attention between confirming trends and seeking surprises
  • Use multiple forecasting methods (expert opinion, data extrapolation, scenario planning)
  • Combine with researching-markets for industry context
  • Link to competitive-intelligence to see how competitors respond to trends
  • Update strategic plans based on trend insights quarterly or semi-annually

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