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Competitive Landscape

Community
didixuxu
competitive-landscape

生成苹果简约风格的竞品分析 HTML 报告,含 Chart.js 数据可视化。使用波特五力、蓝海策略、竞争定位地图等分析框架。适用于竞品分析、市场定位、竞争优势评估。

Overview

Publisherdidixuxu
Repositorydidi-skills
Skill namecompetitive-landscape
Stars
86
Forks
8
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 didixuxu on GitHub. Read the source before you install it.

Installation

Install the Competitive Landscape 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/didixuxu/didi-skills/tree/main/competitive-landscape
  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/didixuxu/didi-skills.git /tmp/didi-skills
mkdir -p .claude/skills
cp -r /tmp/didi-skills/competitive-landscape .claude/skills/competitive-landscape
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Competitive Landscape 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 Competitive Landscape 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 Competitive Landscape 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.

竞品分析报告生成器

生成专业的竞品分析报告,输出为苹果简约风格的 HTML 页面,包含数据可视化图表。

执行流程

1. 明确分析对象 → 确认行业、竞品、分析目的
2. 数据收集     → WebSearch 搜索真实市场数据
3. 框架分析     → 套用分析框架
4. 生成报告     → 输出 HTML + Chart.js 可视化
5. 打开浏览器   → open 命令预览

第一步:明确分析对象

向用户确认:

  • 分析哪几个竞品?(建议 2-4 个)
  • 什么行业/品类?
  • 分析目的?(投资决策 / 市场进入 / 产品定位 / 内容展示)

第二步:数据收集

必须用 WebSearch 搜索真实数据,不要编造数字。至少搜索:

搜索1: "[品牌A] vs [品牌B] vs [品牌C] 市场份额 [年份]"
搜索2: "[行业] market share [品牌] [年份]"
搜索3: "[产品A] vs [产品B] 参数 价格 对比 [年份]"
搜索4: "[行业] 趋势 预测 [年份]"(可选)

需要收集的数据类型:

  • 市场份额 / 出货量 / 营收
  • 产品参数 / 价格对比
  • 用户评价 / 行业评测
  • 最新动态 / 战略方向

第三步:分析框架

按需选用以下框架(不需要全用,根据分析目的选 2-3 个):

波特五力分析(行业吸引力)

力量评估要点评分 1-5
新进入者威胁资本壁垒、品牌忠诚、规模效应
供应商议价力供应商集中度、替代性、前向整合
买方议价力客户集中度、转换成本、价格敏感度
替代品威胁替代方案数量、性价比、转换成本
行业竞争强度竞争者数量、增速、差异化程度

竞争定位地图

选择 2 个对用户最重要的维度,绘制气泡图:

  • 价格 vs 功能
  • 技术创新 vs 性价比
  • 品牌溢价 vs 生态完整度
  • 复杂度 vs 易用性

蓝海策略四象限

对每个竞品分析:

  • 消除 — 行业默认有但可以去掉的
  • 减少 — 可以降低到行业标准以下的
  • 提升 — 可以拉到行业标准以上的
  • 创造 — 行业从未提供的新价值

综合竞争力雷达图

选 6-8 个评估维度,对每个竞品打分 0-100,生成雷达图。

第四步:生成 HTML 报告

设计系统:苹果简约风

核心原则:留白 > 装饰,信息 > 花哨,克制 > 堆砌

css
/* 色彩 */
--bg: #ffffff;
--card-bg: #f5f5f7;
--text: #1d1d1f;
--text-secondary: #86868b;
--border: #d2d2d7;
--accent: #0071e3;          /* 苹果蓝,用于强调 */

/* 为每个竞品分配一个低饱和度的品牌色 */
/* 例: --brand-a: #6e6e73; --brand-b: #0071e3; --brand-c: #bf4800; */

/* 字体 */
font-family: -apple-system, 'SF Pro Display', 'Helvetica Neue', sans-serif;

/* 标题层级 */
h1: 48px, font-weight: 700, letter-spacing: -0.02em  /* 报告主标题 */
h2: 28px, font-weight: 600                            /* 章节标题 */
h3: 21px, font-weight: 600                            /* 子标题 */
body: 17px, line-height: 1.65                          /* 正文 */
caption: 12px, color: var(--text-secondary)            /* 图表注释 */

/* 间距 */
章节间距: 80px
卡片内边距: 32px
卡片圆角: 16px
卡片无边框,用背景色区分: background: var(--card-bg)

/* 布局 */
max-width: 980px
单列为主,数据对比时用双列

禁止使用的元素(太 AI 风格):

  • 深色/暗黑背景
  • 渐变色背景
  • 霓虹色、高饱和度配色
  • 发光效果、阴影过重
  • 过多的标签/徽章
  • 边框过多的表格
  • 任何看起来像"AI生成的仪表盘"的元素

应该有的感觉:

  • 像 apple.com/newsroom 的产品对比页
  • 大量留白
  • 黑白为主,品牌色点缀
  • 表格简洁(无竖线,浅灰横线)
  • 数字用 tabular-nums 等宽数字
  • 图表配色克制、低饱和

数据可视化:Chart.js

引入:

html
<script src="https://cdn.jsdelivr.net/npm/chart.js@4"></script>

图表风格要求:

javascript
// 全局默认
Chart.defaults.color = '#86868b';
Chart.defaults.borderColor = '#e5e5e5';
Chart.defaults.font.family = "-apple-system, 'SF Pro Display', sans-serif";

// 配色原则:低饱和、高辨识
// 好的配色: ['#0071e3', '#86868b', '#bf4800', '#1d1d1f']
// 避免的配色: 霓虹绿、亮紫、荧光橙

// 图表通用设置
{
  responsive: true,
  plugins: {
    legend: {
      position: 'bottom',
      labels: { usePointStyle: true, padding: 20, font: { size: 13 } }
    },
    title: {
      display: true,
      font: { size: 17, weight: '600' },
      color: '#1d1d1f',
      padding: { bottom: 20 }
    }
  }
}

// 柱状图: borderRadius: 8, 不要边框
// 饼图/环形图: cutout: '55%', borderWidth: 0
// 雷达图: 填充透明度 0.08, 线条宽度 2
// 气泡图: 透明度 0.5, 边框宽度 1.5

必须包含的图表(根据数据可用性):

  1. 市场份额 — 环形图 或 横向柱状图
  2. 产品参数对比 — 分组柱状图 或 表格(数据密集时用表格更清晰)
  3. 综合竞争力雷达图 — 6-8 维度,每个竞品一条线
  4. 竞争定位气泡图 — 2维定位 + 气泡大小代表市场份额
  5. 波特五力雷达图(如使用该框架)

报告结构模板

1. 标题区
   - 报告标题(大字)
   - 副标题(一行说明分析范围和日期)

2. 核心指标卡片(3-4个)
   - 每个竞品一张卡片
   - 1个核心数字 + 1行说明

3. 市场格局(图表 + 洞察文字)

4. 竞品画像对比(表格)

5. 产品/参数矩阵(表格 + 图表)

6. 分析框架输出(选用的框架)
   - 波特五力:雷达图 + 评分表
   - 定位地图:气泡图
   - 蓝海策略:四象限卡片
   - 综合雷达图

7. 结论与建议
   - 每个竞品一句话总结
   - 关键洞察(2-3条)

8. 数据来源(底部小字)

结构为参考,不是固定模板,根据内容灵活调整。

表格风格

css
table {
  width: 100%;
  border-collapse: collapse;
  font-size: 15px;
}
th {
  text-align: left;
  padding: 12px 16px;
  border-bottom: 2px solid #1d1d1f;  /* 表头用深色粗线 */
  font-weight: 600;
  font-size: 13px;
  color: #86868b;
}
td {
  padding: 14px 16px;
  border-bottom: 1px solid #e5e5e5;  /* 行分隔用浅灰细线 */
}
/* 无竖线,无外边框 */

第五步:输出与预览

  1. 将 HTML 写入文件(默认路径:当前工作目录)
  2. 用 open 命令在浏览器中打开
  3. 询问用户是否需要调整

注意事项

  • 数据优先:有真实数据就用真实数据,没有的标注"估算"
  • 克制判断:分析要客观,不要替用户做结论性判断
  • 图表不是越多越好:5-6 张图表足够,每张都要有信息量
  • 响应式:确保移动端也能看(max-width + 媒体查询)

Frequently asked questions

What does the Competitive Landscape AI skill do?

生成苹果简约风格的竞品分析 HTML 报告,含 Chart.js 数据可视化。使用波特五力、蓝海策略、竞争定位地图等分析框架。适用于竞品分析、市场定位、竞争优势评估。

Why use Competitive Landscape on TypingMind?

Because you install it once and use it with any model. Competitive Landscape 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 Competitive Landscape in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/didixuxu/didi-skills/tree/main/competitive-landscape. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Competitive Landscape?

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 Competitive Landscape?

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

Is the Competitive Landscape AI skill free?

It is published on GitHub by didixuxu. 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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