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Market Research

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virgo777
market-research

执行市场研究（market research）、竞争分析、投资者尽职调查和行业情报，提供来源引用及面向决策的摘要。当用户需要市场规模估算、竞品对比、基金研究、技术扫描或为业务决策提供支持的研究时，请使用此技能。

Overview

Publishervirgo777
Repositorybuddyme
Skill namemarket-research
Stars
62
Forks
8
Bundled files
Instructions only
Links
Skill sourceRepository
  • 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 virgo777 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/virgo777/buddyme/tree/master/buddyMe/skill_library/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/virgo777/buddyme.git /tmp/buddyme
mkdir -p .claude/skills
cp -r /tmp/buddyme/buddyMe/skill_library/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)

生成支持决策的研究，而非流于形式的研究报告。

何时激活 (When to Activate)

  • 研究市场、品类、公司、投资者或技术趋势。
  • 构建 TAM/SAM/SOM（总目标市场/可服务市场/可获得市场）估算。
  • 比较竞争对手或相邻产品。
  • 在外联之前准备投资者档案（Dossiers）。
  • 在构建、注资或进入市场之前，对假设进行压力测试。

研究标准 (Research Standards)

  1. 每个重要主张都需要提供来源。
  2. 优先使用最新数据，并标明过时数据。
  3. 包含对立证据和不利情况。
  4. 将发现转化为决策支持，而不仅仅是摘要。
  5. 清晰地区分事实（Fact）、推论（Inference）和建议（Recommendation）。

常用研究模式 (Common Research Modes)

投资者/基金尽调 (Investor / Fund Diligence)

收集：

  • 基金规模、阶段和典型的支票规模（Check size）。
  • 相关的投资组合公司（Portfolio companies）。
  • 公开的投资理念（Thesis）和近期活动。
  • 基金是否匹配的原因。
  • 任何明显的红线或不匹配之处。

竞争分析 (Competitive Analysis)

收集：

  • 产品现状，而非营销话术。
  • 如果公开，收集融资和投资者历史。
  • 如果公开，收集增长/牵引力指标（Traction metrics）。
  • 分销渠道和定价线索。
  • 优势、劣势和定位差距。

市场规模估算 (Market Sizing)

使用：

  • 来自报告或公开数据集的自上而下（Top-down）估算。
  • 基于现实客户获取假设的自下而下（Bottom-up）合理性检查。
  • 为逻辑中的每一次跨越提供明确的假设。

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（Adoption signals）。
  • 集成复杂性。
  • 锁定风险、安全性、合规性和操作风险。

输出格式 (Output Format)

默认结构：

  1. 执行摘要 (Executive summary)
  2. 关键发现 (Key findings)
  3. 影响与启示 (Implications)
  4. 风险与注意事项 (Risks and caveats)
  5. 建议 (Recommendation)
  6. 来源 (Sources)

质量门禁 (Quality Gate)

在交付前确保：

  • 所有数字均已注明来源或标记为估算。
  • 已标记过时数据。
  • 建议基于证据得出。
  • 包含风险和反面论点。
  • 输出使决策变得更容易。

Frequently asked questions

What does the Market Research AI skill do?

执行市场研究（market research）、竞争分析、投资者尽职调查和行业情报，提供来源引用及面向决策的摘要。当用户需要市场规模估算、竞品对比、基金研究、技术扫描或为业务决策提供支持的研究时，请使用此技能。

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/virgo777/buddyme/tree/master/buddyMe/skill_library/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?

It is published on GitHub by virgo777. Check the repository for licensing terms. 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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