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Market Research

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xu-xiang
market-research

开展市场研究、竞争分析、投资者尽职调查和行业情报收集,提供来源引用和决策导向的总结。适用于用户需要市场规模测算、竞争对手比较、基金研究、技术扫描或为业务决策提供信息支持的研究场景。

Overview

Publisherxu-xiang
Repositoryeverything-claude-code-zh
Skill namemarket-research
Stars
2K
Forks
325
Bundled files
1
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • 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/.agents/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/.agents/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 (Market Research)

提供支持决策的研究,而非流于形式的研究报告。

激活时机 (When to Activate)

  • 研究市场、类别、公司、投资者或技术趋势时。
  • 构建 TAM/SAM/SOM(总目标市场/可服务市场/可获得市场)估算时。
  • 比较竞争对手或相邻产品时。
  • 在对外接触前准备投资者档案(Investor Dossiers)时。
  • 在构建产品、注资或进入市场前对逻辑假设进行压力测试时。

研究标准 (Research Standards)

  1. 每个重要论点都必须有来源引用。
  2. 优先使用近期数据,并标注陈旧数据。
  3. 包含对立证据(Contrarian Evidence)和下行案例(Downside Cases)。
  4. 将发现转化为决策依据,而不仅仅是摘要。
  5. 清晰区分事实(Fact)、推论(Inference)和建议(Recommendation)。

常用研究模式 (Common Research Modes)

投资者 / 基金尽职调查 (Investor / Fund Diligence)

收集:

  • 基金规模、阶段和典型单笔投资额(Check Size)。
  • 相关的投资组合公司(Portfolio Companies)。
  • 公开的投资逻辑(Thesis)和近期活动。
  • 该基金是否匹配的原因。
  • 任何明显的风险信号(Red Flags)或不匹配项。

竞争分析 (Competitive Analysis)

收集:

  • 产品实际情况,而非营销文案。
  • 若公开,收集融资和投资者历史。
  • 若公开,收集增长指标(Traction Metrics)。
  • 分销渠道和定价线索。
  • 优势、劣势和定位差距(Positioning Gaps)。

市场规模测算 (Market Sizing)

使用:

  • 来自报告或公开数据集的自上而下(Top-down)估算。
  • 基于现实获客假设的自下而上(Bottom-up)合理性检查。
  • 为逻辑中的每一个跨跃提供明确的假设。

技术 / 供应商研究 (Technology / Vendor Research)

收集:

  • 工作原理。
  • 权衡(Trade-offs)和采用信号。
  • 集成复杂性。
  • 锁定风险(Lock-in)、安全、合规及运营风险。

输出格式 (Output Format)

默认结构:

  1. 执行摘要 (Executive Summary)
  2. 核心发现 (Key Findings)
  3. 影响分析 (Implications)
  4. 风险与注意事项 (Risks and Caveats)
  5. 建议 (Recommendation)
  6. 来源 (Sources)

质量把关 (Quality Gate)

在交付前确认:

  • 所有数字均有来源或标记为估算。
  • 旧数据已被标注。
  • 建议内容逻辑严密,源自现有证据。
  • 已包含风险和反面论点。
  • 输出内容能让决策变得更轻松。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Market Research AI skill do?

开展市场研究、竞争分析、投资者尽职调查和行业情报收集,提供来源引用和决策导向的总结。适用于用户需要市场规模测算、竞争对手比较、基金研究、技术扫描或为业务决策提供信息支持的研究场景。

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/.agents/skills/market-research. TypingMind reads its SKILL.md and bundles its files 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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