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Foreign Trade Research

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liangdabiao
foreign-trade-research

深度外贸市场调研技能。对目标国家+产品领域进行全面竞争对手分析,覆盖品牌商、制造商、经销商,生成含市场格局、定价策略、渠道分析和进入建议的完整调研报告。

Overview

Publisherliangdabiao
Repositoryexa-research-mcp-skill
Skill nameforeign-trade-research
Stars
117
Forks
17
Bundled files
Instructions only
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 liangdabiao on GitHub. Read the source before you install it.

Installation

Install the Foreign Trade 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/liangdabiao/exa-research-mcp-skill/tree/main/.agents/skills/foreign-trade-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/liangdabiao/exa-research-mcp-skill.git /tmp/exa-research-mcp-skill
mkdir -p .claude/skills
cp -r /tmp/exa-research-mcp-skill/.agents/skills/foreign-trade-research .claude/skills/foreign-trade-research
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Foreign Trade 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 Foreign Trade 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 Foreign Trade 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.

外贸市场深度调研

Tool Restriction (Critical)

ONLY use web_search_advanced_exa from Exa. Do NOT use web_search_exa or any other Exa tools.

Token Isolation (Critical)

Never run Exa searches in main context. Always spawn Task agents:

  • Agent runs Exa search internally
  • Agent processes results using LLM intelligence
  • Agent returns only distilled output (compact JSON or brief markdown)
  • Main context stays clean regardless of search volume

调研流程(5步法)

整个调研按以下5步执行,每步使用独立的 Task Agent:

第1步:识别行业竞争格局

生成该市场 TOP20 活跃公司名单,分为三类:

  • 本土品牌商(TOP7):拥有自有品牌的公司
  • 制造商(TOP7):本土制造商 + 在当地有生产基地的国际制造商
  • 主要经销商/批发商/进口商(TOP6)

每家公司需包含:公司全称、成立时间、总部所在地、官方网站、市场地位。

搜索策略:

  • 查询变体示例(目标国=Thailand,产品=solar panels):
    • Thailand solar panels leading companies manufacturers brands 2025 2026
    • top solar panel companies Thailand market share distributors
    • Thailand solar energy industry key players importers wholesalers
  • 使用 company category 搜索公司主页和元数据
  • 使用 news category 获取最新行业动态
  • numResults: 30-50 per query, 2-3 queries in parallel

输出格式:结构化 markdown,三类分组,每家公司一行摘要。

第2步:逐个深度拆解竞品

对第1步识别出的每家公司进行深度分析,覆盖维度:

  1. 公司背景:员工人数、年营业额、发展历史和重要里程碑、主要股东和子公司
  2. 核心产品线:该产品领域的主要产品系列、产品特点和技术优势、最新产品发布
  3. 定价策略:价格区间(高端/中端/经济型)、与竞争对手价格对比、促销策略
  4. 主要客户群体:目标客户类型、主要销售渠道、重点服务的行业和地区
  5. 竞争优劣势:核心竞争力、存在的弱点和市场空白

搜索策略:

  • 每家公司独立搜索,查询变体:
    • [Company Name] [product] Thailand company profile revenue employees
    • [Company Name] products pricing strategy customers
    • [Company Name] [product] competitors advantages disadvantages
  • 使用 company category 获取公司元数据
  • 使用 news category 获取最新动态和财报信息
  • 使用 tweet category 获取社交媒体动态
  • numResults: 15-25 per company, 可并行处理多家公司

输出格式:每家公司一段结构化分析,标注信息来源。

第3步:生成竞争对手对比矩阵

汇总所有公司信息,生成横向对比矩阵:

对比维度:公司名称、市场地位、核心产品线、价格定位、主要客户群体、核心优势、主要劣势

然后回答:

  1. 目前市场的竞争格局是怎样的?(垄断/寡头/碎片化)
  2. 哪些公司是最主要的竞争对手?
  3. 市场上存在哪些未被满足的需求和空白点?
  4. 对于中国供应商,有哪些潜在的市场切入点?

输出格式:markdown 表格 + 分析文本。

第4步:多源数据验证

对关键数据点进行交叉验证:

  • 官网验证:访问竞争对手官网核对产品信息和公司介绍
  • 电商平台验证:Amazon、eBay、当地 B2B 平台查看产品价格和销量
  • 社交媒体验证:LinkedIn、Facebook、Instagram 查看最新动态
  • 客户反馈验证:Trustpilot、Google Reviews 查看用户评价

搜索策略:

  • 查询变体:
    • [Company Name] site:amazon.com [product]
    • [Company Name] reviews rating Trustpilot
    • [Company Name] LinkedIn employees
  • 可使用 includeDomains 过滤特定平台
  • numResults: 10-15 per query

浏览器回退:当 Exa 结果不足时,使用 Playwright 浏览器直接访问页面。

第5步:生成最终调研报告

整合所有信息,生成完整的市场调研报告。

报告结构:

一、执行摘要
   - 核心发现(3-5条)
   - 市场机会评级

二、市场概述
   1. 市场规模和增长趋势(2025-2026)
   2. 主要驱动因素和挑战
   3. 市场竞争格局总览

三、主要品牌商分析(TOP7)

四、主要制造商分析(TOP7)

五、主要经销商分析(TOP6)

六、竞争格局深度分析
   1. 各公司市场份额估算
   2. 价格竞争分析
   3. 渠道竞争分析
   4. 技术竞争分析

七、中国供应商进入机会与建议
   1. 市场切入点
   2. 产品定位建议
   3. 定价策略建议
   4. 渠道策略建议

八、风险提示

报告要求:

  • 数据准确,注明来源
  • 逻辑清晰,结构完整
  • 语言专业,适合商务使用
  • 总字数 5000-8000 字
  • 以 .md 文件保存到项目根目录,命名规则:[目标国]_[产品]_市场调研报告.md

Query Variation

Exa 返回不同查询的结果不同。为了更广泛的覆盖:

  • 生成 2-3 个查询变体
  • 并行运行
  • 合并并去重
  • 覆盖英文和当地语言关键词

Categories

根据调研阶段使用适当的 Exa 类别:

  • company → 公司主页,大量元数据(员工人数、地点、融资、收入)
  • news → 新闻报道,获取最新市场动态和财报
  • tweet → 社交媒体存在,了解品牌声量
  • people → 公开 LinkedIn 个人资料,获取公司高管和关键决策人信息

Dynamic Tuning

不要硬编码 numResults。根据用户意图调整:

  • "快速了解" → 第1步 20-30 results,第2步 10-15 results/company
  • "标准调研" → 第1步 30-50 results,第2步 15-25 results/company
  • "全面深度" → 第1步 50-100 results,第2步 25-50 results/company
  • 用户指定数量 → 精确匹配
  • 模糊?询问:"您需要什么深度?快速了解 / 标准调研 / 全面深度"

排除中国公司

在搜索查询中,当用户要求排除中国公司时,添加 exclude China Chinese 等排除词,使用 excludeText: ["China", "Chinese", "中国"] 参数。

Browser Fallback

自动回退到 Playwright 浏览器:

  • Exa 返回结果不足
  • 内容需要认证
  • 动态页面需要 JavaScript 渲染
  • 需要验证电商平台价格和库存

Models

  • haiku:快速提取任务(公司列表发现、基础信息收集)
  • opus:综合分析、对比矩阵生成、最终报告撰写、浏览器自动化

语言

报告默认使用中文撰写。当目标市场为英语国家时,公司名称和技术术语保留英文原文。

输出保存

调研报告保存到项目根目录,文件名格式:[目标国]_[产品]_市场调研报告.md

例如:泰国_太阳能板_市场调研报告.md、巴西_电子产品_市场调研报告.md

Frequently asked questions

What does the Foreign Trade Research AI skill do?

深度外贸市场调研技能。对目标国家+产品领域进行全面竞争对手分析,覆盖品牌商、制造商、经销商,生成含市场格局、定价策略、渠道分析和进入建议的完整调研报告。

Why use Foreign Trade Research on TypingMind?

Because you install it once and use it with any model. Foreign Trade 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 Foreign Trade Research in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/liangdabiao/exa-research-mcp-skill/tree/main/.agents/skills/foreign-trade-research. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Foreign Trade 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 Foreign Trade Research?

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

Is the Foreign Trade Research AI skill free?

It is published on GitHub by liangdabiao. 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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