Agent Skillsdavepoon/buildwithclaude › market-research

market-research

GitHub

辅助创始人进行市场调研,包括分析市场规模、客户细分、购买行为及定价趋势。支持查询现有报告、更新数据、刷新陈旧信息或调度子代理执行专项网络研究,以明确市场机会。

plugins/startup-superpowers/skills/market-research/SKILL.md davepoon/buildwithclaude

触发场景

询问市场规模(TAM/SAM/SOM) 了解目标客户及购买决策流程 查询行业定价基准与竞争态势 探讨行业顺风或逆风趋势 需要更新或刷新市场调研文档

安装

npx skills add davepoon/buildwithclaude --skill market-research -g -y
更多选项

非标准路径

npx skills add https://github.com/davepoon/buildwithclaude/tree/main/plugins/startup-superpowers/skills/market-research -g -y

不安装直接使用

npx skills use davepoon/buildwithclaude@market-research

指定 Agent (Claude Code)

npx skills add davepoon/buildwithclaude --skill market-research -a claude-code -g -y

安装 repo 全部 skill

npx skills add davepoon/buildwithclaude --all -g -y

预览 repo 内 skill

npx skills add davepoon/buildwithclaude --list

SKILL.md

Frontmatter
{
    "name": "market-research",
    "description": "Manages the founder's market understanding — running initial market research, updating findings, and answering questions about market size, customer segments, buying behavior, pricing benchmarks, and industry trends. Use when the conversation touches market size (TAM\/SAM\/SOM), who the buyers are and how they make decisions, what people typically pay, industry tailwinds or headwinds, or when the founder wants to understand the broader landscape their idea sits in."
}

Market Research

Help the founder understand the market they're entering — whether it's real, who's in it, how buyers behave, and what they expect to pay. This context strengthens interviews, sharpens hypotheses, and gives the founder a confident answer to "what's the market opportunity?"

Before you start

Read startup/core.md to load project context (name, seed description, type of business — B2B or B2C — and all fields under ## Core).

Check if startup/market-research.md exists.


When market research already exists

Load it for context. Infer intent from the conversation — don't ask "what do you want to do?" If the founder is:

  • Asking about a specific dimension (size, segments, pricing, trends) — answer from the existing file; if the file is thin on that dimension, offer to run targeted research to fill it in
  • Wanting to update a section — read the file, discuss the new information, propose the change, get confirmation, write it back. Update last_updated in frontmatter
  • Flagging the research as stale — set status: needs-refresh in frontmatter and offer to re-run the full research or a targeted pass on specific sections
  • Wanting web research on a specific topic — dispatch the web-researcher agent (fast model) with a focused prompt about that market dimension; incorporate findings into the relevant section; save the full output to startup/research/{YYYY-MM-DD}-{topic-slug}-research.md with frontmatter date, topic, and source_skill: market-research
  • Asking how market research connects to hypotheses — surface which findings in the file could confirm or challenge existing hypotheses, and suggest updating hypothesis status or Notes accordingly

When updating the file, follow the format conventions:

  • YAML frontmatter with version (number), last_updated (ISO date), type (b2b or b2c), and status (draft, complete, or needs-refresh)
  • H1 heading: Market Research — {Project Name}
  • Sections: Market Overview, Customer Segments, Buying Behavior, Pricing Landscape, Trends, Key Sources, Open Questions

Read before writing, propose before saving, get confirmation.


When no market research exists

Load the reference file for the guided first-time workflow:

.claude/skills/market-research/references/initial-market-research.md

The reference file's instructions take over from this point.


Ad-hoc web search vs. dispatching web-researcher

Not every web question needs a subagent:

  • Inline WebSearch / WebFetch (you, the main agent): single-fact lookups ("what does Pendo charge?", "is ACME still active?"), quick verification of a claim the founder made, one data point asked about in flow. Stays in conversation, no persistence needed.
  • Dispatch web-researcher: multi-source passes that benefit from an isolated context (scanning pricing across a whole category, surveying buyer-behavior signals across communities, structured landscape passes). Output is structured and gets saved to startup/research/{YYYY-MM-DD}-{topic-slug}-research.md for later reference.

Rough rule: one fact in flow → inline. Multi-source or results-should-persist → dispatch.

版本历史

  • 502fc01 当前 2026-07-05 15:17

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元信息

文件数
0
版本
13c9cb5
Hash
86d17e3a
收录时间
2026-07-05 15:17

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