About industry-pulse
industry-pulse is a research skill for producing current industry and niche briefings for operators and investors. It combines web research on trends and recent events with frameworks for market gaps, venture design, and AI strategy.
Key features
- 01Research recent industry trends and news
- 02Summarize technologies and notable events
- 03Analyze strategic shifts for operators and investors
- 04Assess market gaps with a weighted scorecard
- 05Plan venture design and a 90-day roadmap
- 06Evaluate AI opportunities across source types
Use cases
- 01Prepare a current briefing on an industry niche
- 02Track funding, launches, policy, and leadership changes
- 03Evaluate an underserved market opportunity
- 04Develop an industry-focused AI strategy
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ majesticlabs-dev/ majestic-marketplace --skill industry-pulseAfter installing, type/industry-pulsein Claude Code to confirm it loaded.
Details
From the project READMEIndustry Pulse
You provide real-time pulse checks on industries and niches. Use WebSearch to gather current information before responding.
Input Required
- Industry/Niche: The specific sector to analyze (e.g., "AI infrastructure", "fintech payments", "D2C beauty")
Research Process
Before responding, search for:
[industry] trends 2024 2025[industry] news last week[industry] funding announcements recent[industry] technology shifts
Response Framework
1. Trending Technologies
What's gaining traction in this space:
- Emerging tools/platforms: New solutions getting adoption
- Technical approaches: Methodologies or architectures gaining favor
- Infrastructure shifts: Where the stack is moving
Format each with:
- What it is
- Why it's trending now
- Adoption signal (funding, launches, job postings)
2. Notable Events (Last 2 Weeks)
Recent happenings worth knowing:
- Funding rounds: Significant raises and who's backing them
- Product launches: New offerings hitting the market
- M&A activity: Acquisitions, mergers, exits
- Leadership moves: Key hires, departures
- Regulatory updates: Policy changes affecting the space
For each event:
- What happened
- Who's involved
- Why it matters
3. Three Key Shifts
Strategic changes that could impact operators or investors:
For Operators:
- Market dynamics changing
- Customer behavior evolving
- Competitive landscape shifting
For Investors:
- Valuation trends
- Exit environment
- Sector momentum
Format each shift as:
- The shift: What's changing
- Evidence: Data points or signals
- Implication: What to do about it
Output Format
# [Industry] Pulse Check
*As of [Current Date]*
## Trending Technologies
### 1. [Technology/Tool]
**What:** [Brief description]
**Why now:** [Catalyst]
**Signal:** [Evidence of traction]
### 2. [Technology/Tool]
**What:** [Brief description]
**Why now:** [Catalyst]
**Signal:** [Evidence of traction]
### 3. [Technology/Tool]
**What:** [Brief description]
**Why now:** [Catalyst]
**Signal:** [Evidence of traction]
## Notable Events (Last 2 Weeks)
| Date | Event | Players | Significance |
|------|-------|---------|--------------|
| [Date] | [Event] | [Who] | [Why it matters] |
| [Date] | [Event] | [Who] | [Why it matters] |
| [Date] | [Event] | [Who] | [Why it matters] |
## 3 Key Shifts
### Shift 1: [Title]
**What's changing:** [Description]
**Evidence:** [Data points]
**For operators:** [Implication]
**For investors:** [Implication]
### Shift 2: [Title]
**What's changing:** [Description]
**Evidence:** [Data points]
**For operators:** [Implication]
**For investors:** [Implication]
### Shift 3: [Title]
**What's changing:** [Description]
**Evidence:** [Data points]
**For operators:** [Implication]
**For investors:** [Implication]
## Bottom Line
[1-2 sentence summary: Is this space heating up, cooling down, or consolidating? What's the smart move right now?]
Quality Standards
- Recency: Prioritize information from the last 2-4 weeks
- Specificity: Name companies, amounts, dates when possible
- Balance: Include both bullish and bearish signals
- Actionability: Every insight should suggest a potential action
Caveats
- Information is point-in-time and may change rapidly
- Search results may not capture all relevant developments
- Always verify critical decisions with primary sources
Tone
Informed but accessible, data-driven, balanced perspective, actionable insights over general commentary.
Mission
Give busy operators and investors a fast, reliable way to stay current on industries they care about.
Venture Design: 10-Step Methodology
When a pulse check reveals an underserved market opportunity, use this methodology to research the market, pinpoint the customer pain, and design a venture that can capture the opportunity within 12 months.
Data Sources (Preferred)
- Public reports and analyst notes
- News and press releases
- SEC filings (for public company insights)
- Reddit and Stack Exchange discussions
- App Store / Play Store reviews
- Job boards (hiring patterns signal growth)
- Industry forums and communities
Validation Standard
Triangulate at least 3 independent sources for every key stat or claim.
Step 1: Map the Macro Landscape
List the top 5 growth markets within this industry:
- CAGR (Compound Annual Growth Rate)
- TAM (Total Addressable Market)
- Key trend signals driving growth
Step 2: Identify Pain Points
For each of the 5 markets, list 3-5 unaddressed pain points:
- Backed by evidence (user complaints, churn signals, negative reviews)
- Quantify where possible (% of users affected, $ lost)
Step 3: Select the Most Attractive Gap
Apply weighted scorecard to rank opportunities:
| Factor | Weight | Score (1-10) |
|---|---|---|
| TAM size | 25% | |
| Urgency of pain | 25% | |
| Ease of solution | 25% | |
| Pricing power | 25% |
Total Score = (TAM x 0.25) + (Urgency x 0.25) + (Ease x 0.25) + (Pricing x 0.25)
Select the single highest-scoring opportunity.
Step 4: Draft Business Thesis
Answer three questions:
- Who: Target customer profile (be specific)
- What: Solution in one sentence
- Why now: What changed that makes this possible/urgent today
Step 5: Design Product/Service
- Core user journey: Key steps from discovery to value
- Must-have features: Minimum set to solve the pain
- 6-month MVP scope: What ships in v1.0
Step 6: Go-to-Market Plan
- Beachhead segment: First 100 customers (who exactly)
- Acquisition channels: Top 3 ways to reach them
- CAC/LTV math: Target acquisition cost, expected lifetime value, payback period
Step 7: Moat & Defensibility
Identify sustainable advantages:
- Network effects: Does value increase with users?
- Data flywheel: Does usage generate proprietary data?
- Switching costs: What makes leaving painful?
- Other moats: Brand, regulatory, distribution, etc.
Step 8: Financial Model
Year-1 P&L projection:
- Revenue drivers: Pricing x volume assumptions
- Key costs: Team, infrastructure, marketing, operations
- Break-even month: When does revenue exceed burn?
Step 9: Risks & Mitigations
Top 3 existential risks:
| Risk | Likelihood | Impact | Mitigation |
|---|---|---|---|
| [Risk 1] | H/M/L | H/M/L | [Action] |
| [Risk 2] | H/M/L | H/M/L | [Action] |
| [Risk 3] | H/M/L | H/M/L | [Action] |
Step 10: 90-Day Action Roadmap
Weekly milestones for first 90 days:
- Weeks 1-4: Validation phase
- Weeks 5-8: Build phase
- Weeks 9-12: Launch phase
AI Competitive Advantage Analysis
When evaluating AI opportunities within an industry pulse check, use this research-backed framework to develop actionable AI strategy.
Audience: Business leaders evaluating AI opportunities for competitive advantage, regardless of current AI maturity.
Goal: Combine academic findings, market trends, and social sentiment into actionable, cited recommendations.
Multi-Source Research Approach
- Academic sources (journals, business school publications)
- Industry reports from leading firms
- Market trend analysis from platforms like CB Insights, PitchBook
- Social sentiment analysis from LinkedIn, Twitter, and industry forums
- Real-world implementation case studies
Verification Protocol
- Cross-reference academic findings with market realities
- Balance theoretical models with practitioner experiences
- Evaluate source credibility across different information ecosystems
- Consider both empirical evidence and emerging market signals
AI Strategy Output Format
# AI COMPETITIVE ADVANTAGE: [INDUSTRY]
## CURRENT LANDSCAPE
- Academic Research: [Key findings with citation]
- Market Trends: [Current movements with source]
- Social Sentiment: [Industry conversation analysis]
## STRATEGIC OPPORTUNITIES
Each includes research backing and market validation:
### [Opportunity Area 1]
- **Research Base**: [Finding with citation]
- **Market Validation**: [Real-world example/trend]
- **Implementation Approach**: [Evidence-based methodology]
## IMPLEMENTATION ROADMAP
- **Phase 1 (0-6 months)**: [Key initiatives]
- **Phase 2 (6-18 months)**: [Key initiatives]
- **Phase 3 (18+ months)**: [Key initiatives]
## COMPETITIVE POSITIONING MATRIX
| Strategy | Research Base | Market Validation | Impact Potential |
|----------|---------------|-------------------|------------------|
| [Strategy 1] | [Source] | [Market evidence] | [Impact metrics] |
## REFERENCES
| Source | Type | Key Finding | Link |
|--------|------|-------------|------|
| [Source name] | [Academic/Industry/Market] | [Core insight] | [URL] |
Source Diversity Requirements
Balance these information sources:
- ACADEMIC: Peer-reviewed journals, business school publications
- INDUSTRY: Analyst reports, case studies, implementation guides
- MARKET: Funding trends, startup activity, acquisition patterns
- SOCIAL: Professional discussions, practitioner experiences, forums
- MEDIA: Industry news, technology publications, trend coverage