Agent skill

Competitor Deep-Dive Dashboard

by zj-unicom-ai in zj-unicom-ai/UniEmployee

Produces a competitor benchmarking dashboard as an HTML page with an ECharts price comparison, from built-in profile cards plus fresh web research.

MITAuto-check passedMarketing & SEO

SKILL.md written in Chinese; this summary is our English description.

Install Competitor Deep-Dive Dashboard

skills CLI
$ npx skills add zj-unicom-ai/UniEmployee --skill competitor-deep-dive -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install zj-unicom-ai/UniEmployee competitor-deep-dive --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/zj-unicom-ai/UniEmployee.git skills-src && mkdir -p .claude/skills && cp -r skills-src/backend/skills/competitor-deep-dive .claude/skills/competitor-deep-dive && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
competitor-deep-dive
GitHub stars
360
Token cost
~1.7k tokens
SKILL.md length
115 words
Files
1
Skills in repo
22
Repo updated
First seen
Licence
MIT

At a glance

Produces a competitor benchmarking dashboard as an HTML page with an ECharts price comparison, from built-in profile cards plus fresh web research.

  • Works in 2 steps: 委派 intel-scouter 子代理(或自己执行)检索该竞品近 30… → 可用 Playwright…
  • Benchmarking your own products against a named competitor's lineup and prices
  • SKILL.md covers 触发条件, 执行步骤, 竞品档案卡(附录,先查这里) and 看板 HTML 模板, plus 1 more section
  • Reaches cdn.jsdelivr.net

What it does

This Chinese-language skill casts the agent as a market intelligence analyst. For requests about competitor analysis, benchmarking, a rival's new product or a price war, it checks an appendix of competitor profile cards first. Competitors not listed there get a profile built from web search covering positioning, main products, price range, channels and recent moves. The bundled cards describe three rivals of a consumer electronics maker, with a smart speaker, a smart lamp and a home projector.

Next the agent looks up the last 30 days of news on new products, prices, channels and sentiment, using at least 3 keyword groups, and can use a Playwright connector to verify prices on competitor store pages, falling back to search results rather than retrying. Comparisons must use your own product facts, and sales or revenue estimates need data you supply and stated assumptions. The result fills an HTML template with an ECharts price bar chart, printed as message text and never written to disk. Empty sections say nothing was found.

When your agent uses it

  • Benchmarking your own products against a named competitor's lineup and prices
  • Interpreting a competitor's new product launch
  • Preparing a response to a competitor's price cuts
  • Looking up a competitor's profile and recent activity

Example prompts

  • “Benchmark our X1 speaker against Sonapeak's Mini3 and show a price chart.”
  • “Sonapeak just cut Mini3 prices again. What should we do? Build the dashboard.”
  • “What does the rumored Mini3 Pro mean for our X1? Include a competitor dashboard.”

Requirements

  • Web search access for fresh competitor news
  • Optional Playwright connector for checking competitor store pages

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  1. 委派 intel-scouter 子代理(或自己执行)检索该竞品近 30 天动态:新品/价格/渠道/舆情,至少 3 组不同关键词。
  2. 可用 Playwright 连接器访问竞品官网/商城页核实价格与新品参数;抓取失败退回搜索结果,不硬重试。

What it can do on your machine

Read from SKILL.md and the folder at commit c38a00a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are html).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • cdn.jsdelivr.net

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Competitor Deep-Dive Dashboard loads about 1.7k tokens when it runs. Until then it costs about 24 tokens; SKILL.md has 115 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~24
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from zj-unicom-ai/UniEmployee at commit c38a00a, republished under its MIT licence (© zj-unicom-ai). 115 words, ~1,742 tokens.

Download SKILL.mdSave it as .claude/skills/competitor-deep-dive/SKILL.md (or your agent's skills folder).
name
competitor-deep-dive
description
竞品深度对标分析技能。当用户需要竞品分析/竞品对标/新品解读/价格战应对/竞品档案查询时使用。产出含 ECharts 对比图表的 HTML 在线看板。

竞品深度对标分析

你是市场情报分析师,接到竞品类请求时执行以下流程,产出一份竞品对标 HTML 看板。

触发条件

用户要竞品分析/竞品对标/新品解读/价格战应对;或询问某竞品公司的情况/档案。

执行步骤

步骤 1:查竞品档案

先查附录《竞品档案卡》。档案里有的直接用;档案里没有的竞品,先联网搜索建档(定位/主力产品/价格带/渠道/近期动向),再继续分析。

步骤 2:联网补最新动态
  1. 委派 intel-scouter 子代理(或自己执行)检索该竞品近 30 天动态:新品/价格/渠道/舆情,至少 3 组不同关键词。
  2. 可用 Playwright 连接器访问竞品官网/商城页核实价格与新品参数;抓取失败退回搜索结果,不硬重试。
步骤 3:内部数据交叉

对标分析必须结合我方产品事实(产品线、定价、成本参考见档案附录)。涉及销量/营收影响测算时,引导用户提供内部数据或咨询小经,不在无数据情况下编造测算。

步骤 4:按模板产出看板

严格按下方 HTML 模板填充。价格对比图用 ECharts 柱状图(模板已给完整配置,只替换数据项)。

竞品档案卡(附录,先查这里)

档案为知识库版竞品资料的快照。如已配置竞品档案知识库,以 kb_search 结果为准并提示用户。

声湃科技(Sonapeak)|威胁等级:高
  • 定位:互联网打法新锐,主打性价比 + 线上渠道
  • 主力产品:Mini3 智能音箱 399 元(对位我司 X1 399 元);传 Mini3 Pro 筹备中
  • 渠道:线上电商为主,直播带货渗透深
  • 近期动向:Mini3 多次促销直降;声量营销投放加大
  • 威胁点:同价带参数略优,价格战发动方
光屿智能|威胁等级:中
  • 定位:品质家居照明,设计感 + 健康光概念
  • 主力产品:光屿 L2 智能台灯 229 元(对位我司 S2 Pro 299 元)
  • 渠道:线上线下均衡,入驻连锁家居卖场
  • 近期动向:与健康监测 App 生态合作
  • 威胁点:差异化概念营销强,分流中高端用户
极映科技|威胁等级:中
  • 定位:家用投影专业品牌,参数党口碑好
  • 主力产品:极映 Q7 投影 2399 元(对位我司 P3 2599 元)
  • 渠道:电商自营 + 教育行业集采
  • 近期动向:Q7 打出"白天直投"卖点并降价促销
  • 威胁点:细分品类心智强,P3 价格被动

看板 HTML 模板

用 <!-- REPORT_HTML_START --> 和 <!-- REPORT_HTML_END --> 独占行包裹后作为消息文本输出。ECharts 走 CDN(保持与模板一致的 jsdelivr 地址),其余 CSS/JS 全部内联。

html
<!-- REPORT_HTML_START -->
<!DOCTYPE html>
<html lang="zh-CN">
<head>
<meta charset="UTF-8">
<title>竞品对标分析 · 声湃科技 vs 智选智能硬件</title>
<script src="https://cdn.jsdelivr.net/npm/echarts@5/dist/echarts.min.js"></script>
<style>
  * { margin: 0; padding: 0; box-sizing: border-box; }
  body { font-family: -apple-system, "PingFang SC", "Microsoft YaHei", sans-serif;
         background: #f1f5f9; color: #0f172a; padding: 20px; }
  .board { max-width: 960px; margin: 0 auto; display: flex; flex-direction: column; gap: 14px; }
  .head { background: linear-gradient(135deg, #312e81, #6366f1); color: #fff;
          border-radius: 14px; padding: 18px 22px; }
  .head h1 { font-size: 20px; margin-bottom: 6px; }
  .head .meta { font-size: 12px; opacity: .85; }
  .sec { background: #fff; border-radius: 14px; padding: 16px 20px; }
  .sec h2 { font-size: 15px; margin-bottom: 10px; }
  /* 档案卡 */
  .profile { display: grid; grid-template-columns: repeat(auto-fit, minmax(280px, 1fr)); gap: 10px; }
  .p-card { border: 1px solid #e2e8f0; border-radius: 10px; padding: 12px 14px; font-size: 13px; line-height: 1.7; }
  .p-card b.co { font-size: 14px; }
  .p-card .lv { border-radius: 8px; padding: 0 8px; font-size: 11px; margin-left: 6px; }
  .lv.high { background: #fee2e2; color: #b91c1c; }
  .lv.mid { background: #fef3c7; color: #b45309; }
  .p-card .row { color: #475569; margin-top: 4px; }
  .p-card .row b { color: #0f172a; }
  /* 对比表 */
  table { width: 100%; border-collapse: collapse; font-size: 13px; }
  th, td { border: 1px solid #e2e8f0; padding: 7px 10px; text-align: left; }
  th { background: #f8fafc; }
  .us { color: #1d4ed8; font-weight: 600; }
  /* 图表容器:必须显式给高度 */
  #chart { width: 100%; height: 340px; }
  /* SWOT 四象限 */
  .swot { display: grid; grid-template-columns: 1fr 1fr; gap: 10px; }
  .s, .w, .o, .t { border-radius: 10px; padding: 12px 14px; font-size: 12.5px; line-height: 1.7; }
  .s { background: #ecfdf5; border: 1px solid #a7f3d0; }
  .w { background: #fef2f2; border: 1px solid #fecaca; }
  .o { background: #eff6ff; border: 1px solid #bfdbfe; }
  .t { background: #fffbeb; border: 1px solid #fde68a; }
  .s b, .w b, .o b, .t b { display: block; margin-bottom: 4px; font-size: 13px; }
  ul.plain li { font-size: 13px; color: #334155; margin: 6px 0 6px 18px; line-height: 1.7; }
  .foot-note { font-size: 11px; color: #94a3b8; line-height: 1.7; }
</style>
</head>
<body>
<div class="board">
  <div class="head">
    <h1>⚔️ 竞品对标分析:声湃科技</h1>
    <div class="meta">分析日期:2026-09-12 | 分析师:小察 | 数据来源:竞品档案 + 联网检索(bocha_search / Playwright)</div>
  </div>

  <div class="sec">
    <h2>🗂 竞品档案速览</h2>
    <div class="profile">
      <div class="p-card">
        <b class="co">声湃科技</b><span class="lv high">威胁:高</span>
        <div class="row"><b>定位:</b>互联网打法新锐,性价比 + 线上渠道</div>
        <div class="row"><b>主力:</b>Mini3 智能音箱 399 元(对位我司 X1)</div>
        <div class="row"><b>渠道:</b>线上电商 + 直播带货</div>
      </div>
      <!-- 对方最新动态卡:联网检索到的近 30 天关键动作 -->
      <div class="p-card">
        <b class="co">近 30 天动向</b>
        <div class="row">· Mini3 官网直降 100 元(399→299)</div>
        <div class="row">· 新品 Mini3 Pro 进入预热</div>
        <div class="row">· 直播渠道投放加大<span class="foot-note" style="display:block">来源:xxx · 2026-09-xx</span></div>
      </div>
    </div>
  </div>

  <div class="sec">
    <h2>📋 产品对标总表</h2>
    <table>
      <tr><th>维度</th><th class="us">我方</th><th>对方</th><th>态势判断</th></tr>
      <tr><td>主力产品</td><td class="us">X1 智能音箱</td><td>Mini3</td><td>同价位直接竞争</td></tr>
      <tr><td>定价</td><td class="us">399 元(成本 210)</td><td>299 元(促销价)</td><td>对方主动降价,我方价格被动</td></tr>
      <tr><td>渠道</td><td class="us">线上线下均衡</td><td>线上为主、直播强</td><td>对方线上声量占优</td></tr>
      <tr><td>差异化</td><td class="us">音质调校 + 售后网络</td><td>参数略优</td><td>我方守体验,对方打参数</td></tr>
    </table>
  </div>

  <div class="sec">
    <h2>📈 价格带对比(ECharts)</h2>
    <div id="chart"></div>
  </div>

  <div class="sec">
    <h2>🧭 SWOT</h2>
    <div class="swot">
      <div class="s"><b>S 优势</b>音质口碑、线下售后网络、成本控制(毛利率高于对方降价空间)。</div>
      <div class="w"><b>W 劣势</b>线上营销声量弱于对方,直播渠道渗透浅。</div>
      <div class="o"><b>O 机会</b>对方降价让利利润,可打"加质不加价"组合装而非跟价。</div>
      <div class="t"><b>T 威胁</b>Mini3 Pro 若同价发布,X1 将面对双型号夹击。</div>
    </div>
  </div>

  <div class="sec">
    <h2>🎯 建议行动</h2>
    <ul class="plain">
      <li><b>短期(1 个月内):</b>不跟价至 299;以赠品/组合装守住 399 价签,突出售后差异。</li>
      <li><b>中期(1-3 个月):</b>盯 Mini3 Pro 发布窗口,提前备好 X1 迭代传播点;加大直播渠道投入。</li>
      <li><b>数据验证:</b>降价对我司 X1 销量的实际冲击请结合内部数据测算(可咨询小经)。</li>
    </ul>
  </div>

  <div class="sec">
    <h2>📎 说明</h2>
    <div class="foot-note">本看板基于竞品档案与公开信息整理,每条动向均有来源标注;外部信息仅供参考,重大决策请与内部经营数据交叉验证。生成时间:YYYY-MM-DD HH:MM。</div>
  </div>
</div>

<script>
  // 价格带对比柱状图:只替换 series 数据与竞品名,勿改其余配置
  var chart = echarts.init(document.getElementById('chart'));
  chart.setOption({
    tooltip: { trigger: 'axis' },
    legend: { data: ['我方', '竞品'] },
    grid: { left: 50, right: 20, top: 40, bottom: 30 },
    xAxis: { type: 'category', data: ['X1 vs Mini3 促销价', 'X1 vs Mini3 日常价'] },
    yAxis: { type: 'value', name: '元' },
    series: [
      { name: '我方', type: 'bar', itemStyle: { color: '#3b82f6' }, data: [399, 399] },
      { name: '竞品', type: 'bar', itemStyle: { color: '#f59e0b' }, data: [299, 399] }
    ]
  });
  window.addEventListener('resize', function () { chart.resize(); });
</script>
</body>
</html>
<!-- REPORT_HTML_END -->

约束

  • 档案中没有的竞品信息,一律以联网检索结果为准并标注来源;不得凭记忆编造竞品参数。
  • 对比表中我方产品数据(定价/成本)以档案与用户确认为准;测算类结论必须注明假设。
  • ECharts 容器必须显式设置高度(如 #chart { height: 340px }),否则 iframe 高度自适应会塌陷。
  • 抓取失败、检索为空时如实说明,看板相应区块写"未检索到",不留空壳。
  • 禁止把 HTML 写入磁盘(write_file/execute),禁止谎称"已保存到文件"。

© zj-unicom-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in backend/skills/competitor-deep-dive of zj-unicom-ai/UniEmployee.

Open the folder on GitHubat commit c38a00a

Compare with similar skills

Competitor Deep-Dive Dashboard next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Competitor Deep-Dive Dashboard compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Competitor Deep-Dive Dashboard this skillzj-unicom-ai/UniEmployee360—~1.7kAutomated safety check: PassMIT
Yichen Chatgpt Web Researchmcncarl/yichen-skills4.4k—~3.4kAutomated safety check: PassCustom licence
Amazon Best Sellers Finderbrowser-act/skills6.1k1 repos~1.5kAutomated safety check: PassMIT
Competitor Comparison Matrixfirecrawl/web-agent1.2k—~1.1kAutomated safety check: PassMIT
Consulting Analysisbytedance/deer-flow84k4 repos~8.4kAutomated safety check: PassMIT
Startup Designferdinandobons/startup-skill1.2k—~8.1kAutomated safety check: PassMIT

Similar skills

  • Yichen Chatgpt Web Research

    mcncarl/yichen-skills

    Use the user's already signed-in official ChatGPT website account, especially GPT-5.5 Pro / ChatGPT Pro, to perform product research, market research, competitor research, second-opinion analysis…

    4.4k GitHub stars~3.4k tokensUpdated 7 days ago
    Productivity & AutomationAuto-check passed
  • Amazon Best Sellers Finder

    browser-act/skills

    Extracts structured Amazon product data for a keyword and marketplace through the BrowserAct API, including titles, prices, ratings, reviews, sales volume and promotions.

    6.1k GitHub starsUsed in 1 repo~1.5k tokens
    Data & AnalyticsAuto-check passed
  • Competitor Comparison Matrix

    firecrawl/web-agent

    Compares two or more products or companies on pricing, features and positioning by scraping their sites, and returns a normalized JSON matrix.

    1.2k GitHub stars~1.1k tokensUpdated 5 mo ago
    Marketing & SEOAuto-check passed
  • Consulting Analysis

    bytedance/deer-flow

    A skill your agent uses when the user requests to generate, create, or write professional research reports including but not limited to market analysis, consumer insights, brand analysis, financial…

    84k GitHub starsUsed in 4 repos~8.4k tokens
    Marketing & SEOAuto-check passed
  • Startup Design

    ferdinandobons/startup-skill

    Design, validate, and plan a startup from scratch. An agent skill from ferdinandobons/startup-skill.

    1.2k GitHub stars~8.1k tokensUpdated 3 mo ago
    Marketing & SEOAuto-check passed
  • Market Research Reports

    K-Dense-AI/claude-scientific-writer

    Builds market research reports and market sizing or forecast scenarios in which every claim, source, assumption and uncertainty can be traced and audited.

    2.4k GitHub starsUsed in 1 repo~3.5k tokens
    Marketing & SEOAuto-check passed

More from zj-unicom-ai/UniEmployee

All 22 skills in this repo
  • Enterprise Customer Visit Playbook

    zj-unicom-ai/UniEmployee

    Prepares account managers for visits to government and enterprise customers: looks up the customer file, matches products, builds a Word solution document and files visit minutes.

    360 GitHub stars~458 tokensUpdated 2 days ago
    Auto-check passed
  • Tencent ima Knowledge Base Reader

    zj-unicom-ai/UniEmployee

    Exports the article list and original article text from a Tencent ima knowledge base through a logged-in Chrome session, using browser automation.

    360 GitHub stars~1k tokensUpdated 2 days ago
    Auto-check passed
  • Business Overview Analysis

    zj-unicom-ai/UniEmployee

    Produces a full business health analysis from sales, finance, inventory and customer CSV files: core KPIs, monthly trends, drill-downs and recommendations.

    360 GitHub stars~662 tokensUpdated 2 days ago
    Auto-check passed
  • Insurance Operations Analysis

    zj-unicom-ai/UniEmployee

    Analyzes insurance operating data such as premium, loss ratio, renewal rate and expense ratio by branch, product and channel, flags anomalies and builds an HTML dashboard.

    360 GitHub stars~646 tokensUpdated 2 days ago
    Auto-check passed
  • Market Alert Triage

    zj-unicom-ai/UniEmployee

    Assesses a reported market event such as a competitor price cut, new launch or negative press, verifies it, grades urgency from P0 to P2 and produces a short alert card.

    360 GitHub stars~778 tokensUpdated 2 days ago
    Auto-check passed
  • Market Daily Brief

    zj-unicom-ai/UniEmployee

    市场情报每日简报技能。当用户需要市场简报/早报/日报/周报/行业动态汇总,或问"最近有什么值得关注的"时使用。产出 HTML 在线看板。

    360 GitHub stars~1.6k tokensUpdated 2 days ago
    Auto-check passed

Works with

Questions about Competitor Deep-Dive Dashboard

What does Competitor Deep-Dive Dashboard do?

Produces a competitor benchmarking dashboard as an HTML page with an ECharts price comparison, from built-in profile cards plus fresh web research. This Chinese-language skill casts the agent as a market intelligence analyst. For requests about competitor analysis, benchmarking, a rival's new product or a price war, it checks an appendix of competitor profile cards first.

When should I use Competitor Deep-Dive Dashboard?

Competitor Deep-Dive Dashboard fits situations like: benchmarking your own products against a named competitor's lineup and prices; interpreting a competitor's new product launch; preparing a response to a competitor's price cuts; looking up a competitor's profile and recent activity.

How do I install Competitor Deep-Dive Dashboard in Claude Code?

Run `npx skills add zj-unicom-ai/UniEmployee --skill competitor-deep-dive -a claude-code`. Or copy the skill folder (backend/skills/competitor-deep-dive in zj-unicom-ai/UniEmployee) into .claude/skills/competitor-deep-dive in your project. Claude Code loads it when a task matches its description.

How do I install Competitor Deep-Dive Dashboard in Codex?

Run `npx skills add zj-unicom-ai/UniEmployee --skill competitor-deep-dive -a codex`. Or copy the skill folder (backend/skills/competitor-deep-dive in zj-unicom-ai/UniEmployee) into .agents/skills/competitor-deep-dive in your project. Codex loads it when a task matches its description.

Can I use Competitor Deep-Dive Dashboard in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add zj-unicom-ai/UniEmployee --skill competitor-deep-dive -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/competitor-deep-dive, .gemini/skills/competitor-deep-dive, .github/skills/competitor-deep-dive and .opencode/skills/competitor-deep-dive in your project.

What does Competitor Deep-Dive Dashboard need to run?

SKILL.md names no scripts, command-line tools or credentials: Competitor Deep-Dive Dashboard is instructions for the agent only. Our summary lists: Web search access for fresh competitor news; Optional Playwright connector for checking competitor store pages.

Does Competitor Deep-Dive Dashboard access the network?

SKILL.md names 1 domain. In commands or code: cdn.jsdelivr.net; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Competitor Deep-Dive Dashboard safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Competitor Deep-Dive Dashboard use?

Competitor Deep-Dive Dashboard is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Competitor Deep-Dive Dashboard use?

About 1.7k tokens (SKILL.md is roughly 7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Competitor Deep-Dive Dashboard?

Skills that share tags, products or a category with Competitor Deep-Dive Dashboard: Yichen Chatgpt Web Research (mcncarl/yichen-skills, 4.4k stars), Amazon Best Sellers Finder (browser-act/skills, 6.1k stars), Competitor Comparison Matrix (firecrawl/web-agent, 1.2k stars) and Consulting Analysis (bytedance/deer-flow, 84k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Competitor Deep-Dive Dashboard?

zj-unicom-ai (a GitHub organization) maintains it in zj-unicom-ai/UniEmployee, which has 360 GitHub stars. The repository holds 22 skills in this directory. The repository was last updated on October 8, 2026.

Source: zj-unicom-ai/UniEmployee on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.