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market-research

by @affaan-mv
4.5(84)

协助用户进行市场调研、竞争分析及投资者尽职调查,为商业决策提供数据支持和战略洞察。

market-analysiscompetitive-analysisconsumer-behaviordata-collectionstrategic-planningGitHub
安装方式
npx skills add https://github.com/affaan-m/everything-claude-code --skill market-research
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Before / After 效果对比

1 组
使用前

在制定新产品战略时,缺乏系统的市场数据和竞品分析,仅凭经验和直觉进行决策,导致市场定位不准,产品推广效果不佳。

使用后

通过深入的市场研究,获得了详细的市场规模、增长趋势、用户画像和竞品优劣势分析报告。这些数据为产品战略、定价和营销策略提供了坚实依据,使决策更加科学和精准,显著提升了产品市场成功率。

SKILL.md

Market Research

Produce research that supports decisions, not research theater.

When to Activate

  • researching a market, category, company, investor, or technology trend
  • building TAM/SAM/SOM estimates
  • comparing competitors or adjacent products
  • preparing investor dossiers before outreach
  • pressure-testing a thesis before building, funding, or entering a market

Research Standards

  1. Every important claim needs a source.
  2. Prefer recent data and call out stale data.
  3. Include contrarian evidence and downside cases.
  4. Translate findings into a decision, not just a summary.
  5. Separate fact, inference, and recommendation clearly.

Common Research Modes

Investor / Fund Diligence

Collect:

  • fund size, stage, and typical check size
  • relevant portfolio companies
  • public thesis and recent activity
  • reasons the fund is or is not a fit
  • any obvious red flags or mismatches

Competitive Analysis

Collect:

  • product reality, not marketing copy
  • funding and investor history if public
  • traction metrics if public
  • distribution and pricing clues
  • strengths, weaknesses, and positioning gaps

Market Sizing

Use:

  • top-down estimates from reports or public datasets
  • bottom-up sanity checks from realistic customer acquisition assumptions
  • explicit assumptions for every leap in logic

Technology / Vendor Research

Collect:

  • how it works
  • trade-offs and adoption signals
  • integration complexity
  • lock-in, security, compliance, and operational risk

Output Format

Default structure:

  1. executive summary
  2. key findings
  3. implications
  4. risks and caveats
  5. recommendation
  6. sources

Quality Gate

Before delivering:

  • all numbers are sourced or labeled as estimates
  • old data is flagged
  • the recommendation follows from the evidence
  • risks and counterarguments are included
  • the output makes a decision easier

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统计数据

安装量6.9K
评分4.5 / 5.0
版本
更新日期2026年8月5日
对比案例1 组

用户评分

4.5(84)
5
83%
4
17%
3
0%
2
0%
1
0%

为此 Skill 评分

0.0

兼容平台

🔧Claude Code
🔧OpenClaw
🔧OpenCode
🔧Codex
🔧Gemini CLI
🔧GitHub Copilot
🔧Amp
🔧Kimi CLI

时间线

创建2026年3月16日
最后更新2026年8月5日
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