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…
Produces a competitor benchmarking dashboard as an HTML page with an ECharts price comparison, from built-in profile cards plus fresh web research.
SKILL.md written in Chinese; this summary is our English description.
$ npx skills add zj-unicom-ai/UniEmployee --skill competitor-deep-dive -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install zj-unicom-ai/UniEmployee competitor-deep-dive --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "competitor-deep-dive" agent skill from https://github.com/zj-unicom-ai/UniEmployee/tree/main/backend/skills/competitor-deep-dive into .claude/skills/competitor-deep-dive/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "competitor-deep-dive", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/zj-unicom-ai/UniEmployee/tree/main/backend/skills/competitor-deep-diveType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add zj-unicom-ai/UniEmployee --skill competitor-deep-dive -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install zj-unicom-ai/UniEmployee competitor-deep-dive --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zj-unicom-ai/UniEmployee.git skills-src && mkdir -p .agents/skills && cp -r skills-src/backend/skills/competitor-deep-dive .agents/skills/competitor-deep-dive && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "competitor-deep-dive" agent skill from https://github.com/zj-unicom-ai/UniEmployee/tree/main/backend/skills/competitor-deep-dive into .agents/skills/competitor-deep-dive/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "competitor-deep-dive", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add zj-unicom-ai/UniEmployee --skill competitor-deep-dive -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install zj-unicom-ai/UniEmployee competitor-deep-dive --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zj-unicom-ai/UniEmployee.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/backend/skills/competitor-deep-dive .cursor/skills/competitor-deep-dive && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "competitor-deep-dive" agent skill from https://github.com/zj-unicom-ai/UniEmployee/tree/main/backend/skills/competitor-deep-dive into .cursor/skills/competitor-deep-dive/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "competitor-deep-dive", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/zj-unicom-ai/UniEmployee.git --path backend/skills/competitor-deep-dive--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add zj-unicom-ai/UniEmployee --skill competitor-deep-dive -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install zj-unicom-ai/UniEmployee competitor-deep-dive --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zj-unicom-ai/UniEmployee.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/backend/skills/competitor-deep-dive .gemini/skills/competitor-deep-dive && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "competitor-deep-dive" agent skill from https://github.com/zj-unicom-ai/UniEmployee/tree/main/backend/skills/competitor-deep-dive into .gemini/skills/competitor-deep-dive/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "competitor-deep-dive", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install zj-unicom-ai/UniEmployee competitor-deep-diveInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add zj-unicom-ai/UniEmployee --skill competitor-deep-dive -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/zj-unicom-ai/UniEmployee.git skills-src && mkdir -p .github/skills && cp -r skills-src/backend/skills/competitor-deep-dive .github/skills/competitor-deep-dive && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "competitor-deep-dive" agent skill from https://github.com/zj-unicom-ai/UniEmployee/tree/main/backend/skills/competitor-deep-dive into .github/skills/competitor-deep-dive/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "competitor-deep-dive", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add zj-unicom-ai/UniEmployee --skill competitor-deep-dive -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install zj-unicom-ai/UniEmployee competitor-deep-dive --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zj-unicom-ai/UniEmployee.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/backend/skills/competitor-deep-dive .opencode/skills/competitor-deep-dive && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "competitor-deep-dive" agent skill from https://github.com/zj-unicom-ai/UniEmployee/tree/main/backend/skills/competitor-deep-dive into .opencode/skills/competitor-deep-dive/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "competitor-deep-dive", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
competitor-deep-diveProduces 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. 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.
2 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit c38a00a. It shows what the files ask for, not the result of running them.
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.
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.
Hosts in commands or code, which the agent is likely to contact:
cdn.jsdelivr.netFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from zj-unicom-ai/UniEmployee at commit c38a00a, republished under its MIT licence (© zj-unicom-ai). 115 words, ~1,742 tokens.
.claude/skills/competitor-deep-dive/SKILL.md (or your agent's skills folder).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。
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。
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。
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。
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)。
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。
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。
<!-- 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 -->#chart { height: 340px }),否则 iframe 高度自适应会塌陷。© 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
Just SKILL.md in backend/skills/competitor-deep-dive of zj-unicom-ai/UniEmployee.
Open the folder on GitHubat commit c38a00a
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Competitor Deep-Dive Dashboard this skillzj-unicom-ai/UniEmployee | 360 | — | ~1.7k | Automated safety check: Pass | MIT | |
| Yichen Chatgpt Web Researchmcncarl/yichen-skills | 4.4k | — | ~3.4k | Automated safety check: Pass | Custom licence | |
| Amazon Best Sellers Finderbrowser-act/skills | 6.1k | 1 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Competitor Comparison Matrixfirecrawl/web-agent | 1.2k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Consulting Analysisbytedance/deer-flow | 84k | 4 repos | ~8.4k | Automated safety check: Pass | MIT | |
| Startup Designferdinandobons/startup-skill | 1.2k | — | ~8.1k | Automated safety check: Pass | MIT |
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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.
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。
Works with
Categories
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.