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Market Research

CommunityPopular
xu-xiang
market-research

进行市场研究、竞争分析、投资者尽职调查和行业情报,附带来源归属和决策导向的摘要。适用于用户需要市场规模、竞争对手比较、基金研究、技术扫描或为商业决策提供信息的研究时。

Overview

Publisherxu-xiang
Repositoryeverything-claude-code-zh
Skill namemarket-research
Stars
2K
Forks
327
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by xu-xiang on GitHub. Read the source before you install it.

Installation

Install the Market Research AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/xu-xiang/everything-claude-code-zh/tree/main/docs/zh-CN/skills/market-research
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/xu-xiang/everything-claude-code-zh.git /tmp/everything-claude-code-zh
mkdir -p .claude/skills
cp -r /tmp/everything-claude-code-zh/docs/zh-CN/skills/market-research .claude/skills/market-research
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Market Research in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Market Research on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Market Research is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

市场研究

产出支持决策的研究,而非研究表演。

何时激活

  • 研究市场、品类、公司、投资者或技术趋势时
  • 构建 TAM/SAM/SOM 估算时
  • 比较竞争对手或相邻产品时
  • 在接触前准备投资者档案时
  • 在构建、投资或进入市场前对论点进行压力测试时

研究标准

  1. 每个重要主张都需要有来源。
  2. 优先使用近期数据,并明确指出陈旧数据。
  3. 包含反面证据和不利情况。
  4. 将发现转化为决策,而不仅仅是总结。
  5. 清晰区分事实、推论和建议。

常见研究模式

投资者 / 基金尽职调查

收集:

  • 基金规模、阶段和典型投资额度
  • 相关的投资组合公司
  • 公开的投资理念和近期动态
  • 该基金适合或不适合的理由
  • 任何明显的危险信号或不匹配之处

竞争分析

收集:

  • 产品现实情况,而非营销文案
  • 公开的融资和投资者历史
  • 公开的吸引力指标
  • 分销和定价线索
  • 优势、劣势和定位差距

市场规模估算

使用:

  • 来自报告或公共数据集的"自上而下"估算
  • 基于现实的客户获取假设进行的"自下而上"合理性检查
  • 对每个逻辑跳跃的明确假设

技术 / 供应商研究

收集:

  • 其工作原理
  • 权衡取舍和采用信号
  • 集成复杂度
  • 锁定、安全、合规和运营风险

输出格式

默认结构:

  1. 执行摘要
  2. 关键发现
  3. 影响
  4. 风险和注意事项
  5. 建议
  6. 来源

质量门

在交付前检查:

  • 所有数字均已注明来源或标记为估算
  • 陈旧数据已标注
  • 建议源自证据
  • 风险和反对论点已包含在内
  • 输出使决策更容易

Frequently asked questions

What does the Market Research AI skill do?

进行市场研究、竞争分析、投资者尽职调查和行业情报,附带来源归属和决策导向的摘要。适用于用户需要市场规模、竞争对手比较、基金研究、技术扫描或为商业决策提供信息的研究时。

Why use Market Research on TypingMind?

Because you install it once and use it with any model. Market Research is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Market Research in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/xu-xiang/everything-claude-code-zh/tree/main/docs/zh-CN/skills/market-research. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Market Research?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Market Research?

As many as you like. As long as a model supports skills, you can use Market Research with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Market Research AI skill free?

Yes. It is published on GitHub by xu-xiang under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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