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market-researcher-agent市场研究员 Agent 人

Agent Skill

market-researcher-agent 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。

总安装

847

周安装

36

GitHub Stars

10

下载量

297
CodexClaudeCursorGemini CLI

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:market-researcher-agent(市场研究员 Agent 人)
来源仓库:https://github.com/michaelboeding/skills
仓库路径:skills/market-researcher-agent
安装命令:
npx skills add https://github.com/michaelboeding/skills --skill market-researcher-agent
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。

命令行安装

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/michaelboeding/skills --skill market-researcher-agent

简介

market-researcher-agent 作为 AI 驱动的市场研究员代理运行。

  • 适合自动化执行重复性调研任务并生成初步报告。
  • 可调度多个子技能协同完成复杂分析流程。
  • 通过 npx skills add 安装,支持 Codex、Claude、Cursor、Gemini CLI 等宿主环境。
  • 建议在使用前测试其在真实业务场景中的准确性与稳定性。

SKILL.md

Market Researcher Agent

Research markets and validate opportunities with comprehensive analysis.

This skill uses 4 specialized agents that analyze markets from different perspectives, then synthesizes into a complete market research report.

What It Produces

OutputDescription
Market SizeTAM, SAM, SOM estimates with methodology
Trends AnalysisCurrent trends and future outlook
Competitive LandscapeKey players and their positions
OpportunitiesGaps and opportunities identified
Go/No-Go RecommendationAssessment of market attractiveness

Prerequisites

  • Web access for research (browser tools)
  • No API keys required

Workflow

Step 1: Define Research Scope (REQUIRED)

⚠️ DO NOT skip this step. Use interactive questioning — ask ONE question at a time.

Question Flow

⚠️ Use the AskUserQuestion tool for each question below. Do not just print questions in your response — use the tool to create interactive prompts with the options shown.

Q1: Market

"I'll research this market for you! First — what market or industry? *(e.g., 'smart home devices', 'pet food', 'B2B SaaS')*"

*Wait for response.*

Q2: Product

"Do you have a specific product or idea you're exploring? - Yes — describe it - No — just researching the market"

*Wait for response.*

Q3: Geography

"What's the geographic focus? - US only - North America - Europe - Global - Or specify regions"

*Wait for response.*

Q4: Questions

"Any specific questions you want answered? *(e.g., 'is this market growing?', 'who are the key players?', 'what's the market size?')* Or say 'comprehensive analysis' for a full report."

*Wait for response.*

Quick Reference

QuestionDetermines
MarketIndustry and category focus
ProductWhether to include product-market fit analysis
GeographyRegional scope of research
QuestionsSpecific areas to emphasize

Step 2: Run Specialized Research Agents in Parallel

Deploy 4 agents, each researching a different dimension:

Agent 1: Trend Analyst

Focus: Market trends, growth trajectory, future outlook

Research:
- Current market size and growth rate
- Historical growth trends
- Future projections (3-5 years)
- Technology trends affecting the market
- Consumer behavior shifts
- Regulatory changes impacting the market

Agent 2: Consumer Researcher

Focus: Customer segments, behavior, needs

Research:
- Primary customer segments
- Customer demographics
- Buying behavior and preferences
- Pain points and unmet needs
- Willingness to pay
- Decision-making process

Agent 3: Industry Analyst

Focus: Market structure, players, dynamics

Research:
- Major players and market share
- Industry value chain
- Distribution channels
- Barriers to entry
- Supplier/buyer power
- Key success factors

Agent 4: Opportunity Finder

Focus: Gaps, opportunities, entry points

Research:
- Underserved segments
- Unmet needs
- Technology gaps
- Geographic white spaces
- Timing opportunities
- Disruption potential

Step 3: Synthesize into Market Report

Combine all agent outputs into a structured report:

{
  "market": {
    "name": "Market Name",
    "definition": "How we define this market",
    "geography": "Geographic scope",
    "year": "2026"
  },
  "market_size": {
    "tam": {
      "value": "$XX billion",
      "definition": "Total Addressable Market definition"
    },
    "sam": {
      "value": "$XX billion",
      "definition": "Serviceable Addressable Market definition"
    },
    "som": {
      "value": "$XX million",
      "definition": "Serviceable Obtainable Market definition"
    },
    "methodology": "How these were calculated",
    "sources": ["Source 1", "Source 2"]
  },
  "growth": {
    "current_cagr": "X%",
    "projected_cagr": "X% (2026-2030)",
    "growth_drivers": ["Driver 1", "Driver 2"],
    "growth_inhibitors": ["Inhibitor 1", "Inhibitor 2"]
  },
  "trends": [
    {
      "trend": "Trend name",
      "description": "What's happening",
      "impact": "High/Medium/Low",
      "timeframe": "Now/Near-term/Long-term"
    }
  ],
  "customer_segments": [
    {
      "segment": "Segment name",
      "size": "X% of market",
      "characteristics": "Key traits",
      "needs": ["Need 1", "Need 2"],
      "underserved": true
    }
  ],
  "competitive_landscape": {
    "market_structure": "Fragmented/Consolidated/Oligopoly",
    "key_players": [
      {
        "name": "Company",
        "market_share": "X%",
        "positioning": "How they're positioned",
        "strengths": ["Strength 1"],
        "weaknesses": ["Weakness 1"]
      }
    ],
    "barriers_to_entry": ["Barrier 1", "Barrier 2"]
  },
  "opportunities": [
    {
      "opportunity": "Opportunity name",
      "description": "What the opportunity is",
      "size": "Potential value",
      "difficulty": "Easy/Medium/Hard",
      "timing": "Why now"
    }
  ],
  "threats": [
    {
      "threat": "Threat name",
      "likelihood": "High/Medium/Low",
      "impact": "High/Medium/Low"
    }
  ],
  "recommendation": {
    "assessment": "Attractive/Moderate/Unattractive",
    "rationale": "Why this assessment",
    "suggested_positioning": "How to enter/compete",
    "key_success_factors": ["Factor 1", "Factor 2"]
  }
}

Step 4: Deliver and Offer Deep Dives

Delivery message:

"✅ Market research complete!

Market: [Name] Size: $XX billion (TAM) → $XX million (SOM) Growth: X% CAGR

Key Finding: [Most important insight]

Opportunity: [Best opportunity identified]

Recommendation: [Go/Caution/No-Go] because [rationale]

Want me to:

  • Deep dive on any segment?
  • Research specific competitors?
  • Explore a particular opportunity?
  • Validate with additional sources?"

Integration with Other Agents

AgentUse Case
product-engineer-agentDesign product for validated market
competitive-intel-agentDeep competitive analysis
pitch-deck-agentUse market data in investor deck
brand-research-agentUnderstand competitor brands
media-utilsGenerate PDF report from analysis

Generate PDF Report

After completing the analysis, offer to generate a PDF:

"Would you like me to generate a PDF report of this market research?"
python3 ${CLAUDE_PLUGIN_ROOT}/skills/media-utils/scripts/report_to_pdf.py \
  --input market_research.md \
  --output market_research.pdf \
  --title "Market Research Report" \
  --style executive

Agents

AgentFileFocus
Trend Analysttrend-analyst.mdGrowth, trends, future
Consumer Researcherconsumer-researcher.mdCustomers, needs
Industry Analystindustry-analyst.mdPlayers, structure
Opportunity Finderopportunity-finder.mdGaps, opportunities

Example Prompts

Market sizing:

"What's the market size for smart pet feeders in the US?"

Opportunity validation:

"Is there an opportunity in sustainable packaging for e-commerce?"

Competitive landscape:

"Who are the major players in the CRM software market?"

Trend analysis:

"What are the trends in the plant-based food market?"

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude

32.22%
按下载量换算96

Codex

32.02%
按下载量换算95

Cursor

17.35%
按下载量换算52

Gemini CLI

9.17%
按下载量换算27

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

可疑

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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