M
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。
安装方式
npx skills add https://github.com/affaan-m/everything-claude-code --skill market-researchcompare_arrows
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
- Every important claim needs a source.
- Prefer recent data and call out stale data.
- Include contrarian evidence and downside cases.
- Translate findings into a decision, not just a summary.
- 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:
- executive summary
- key findings
- implications
- risks and caveats
- recommendation
- 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