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industry-pulse行业脉搏

Agent Skill

industry-pulse 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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安装说明

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

来源状态

来源可访问

安装方式

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:industry-pulse(行业脉搏)
来源仓库:https://github.com/majesticlabs-dev/majestic-marketplace
仓库路径:skills/industry-pulse
安装命令:
npx skills add https://github.com/majesticlabs-dev/majestic-marketplace --skill industry-pulse
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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复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/majesticlabs-dev/majestic-marketplace --skill industry-pulse

简介

industry-pulse 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词快速定位候选结果时使用。

  • 适用于行业动态分析和信息检索场景,支持基于任务需求的信息筛选与组织。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装,需确认权限范围和维护状态。
  • 使用前建议核实是否会触发联网、命令执行或文件读写操作,确保符合安全边界。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Industry 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:

  1. [industry] trends 2024 2025
  2. [industry] news last week
  3. [industry] funding announcements recent
  4. [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:

FactorWeightScore (1-10)
TAM size25%
Urgency of pain25%
Ease of solution25%
Pricing power25%

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:

RiskLikelihoodImpactMitigation
[Risk 1]H/M/LH/M/L[Action]
[Risk 2]H/M/LH/M/L[Action]
[Risk 3]H/M/LH/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

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