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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>10x-Analyst-Loop — Supercharged Agentic Analysis Swarm</title>
<style>
:root {
--orange: #FF6B35;
--blue: #004E89;
--green: #00A878;
--yellow: #FFD166;
--coral: #EF476F;
--ocean: #118AB2;
--midnight: #073B4C;
--cream: #F5EDE0;
--white: #ffffff;
--gray-50: #f9fafb;
--gray-100: #f3f4f6;
--gray-200: #e5e7eb;
--gray-300: #d1d5db;
--gray-500: #6b7280;
--gray-700: #374151;
--gray-800: #1f2937;
--gray-900: #111827;
--radius: 16px;
--radius-sm: 10px;
--shadow: 0 4px 24px rgba(0,0,0,0.08);
--shadow-lg: 0 12px 48px rgba(0,0,0,0.12);
}
* { margin: 0; padding: 0; box-sizing: border-box; }
html { scroll-behavior: smooth; }
body {
font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, 'Helvetica Neue', Arial, sans-serif;
color: var(--gray-900);
line-height: 1.6;
background: var(--white);
-webkit-font-smoothing: antialiased;
}
/* ── Nav ── */
nav {
position: fixed; top: 0; left: 0; right: 0; z-index: 100;
background: rgba(255,255,255,0.92);
backdrop-filter: blur(12px);
border-bottom: 1px solid var(--gray-200);
padding: 0 2rem;
height: 64px;
display: flex; align-items: center; justify-content: space-between;
}
.nav-brand { font-weight: 800; font-size: 1.15rem; color: var(--midnight); display: flex; align-items: center; gap: .5rem; text-decoration: none; }
.nav-brand span { color: var(--orange); }
.nav-links { display: flex; gap: 2rem; list-style: none; }
.nav-links a { text-decoration: none; color: var(--gray-700); font-size: .9rem; font-weight: 500; transition: color .2s; }
.nav-links a:hover { color: var(--orange); }
.nav-cta { background: var(--orange); color: white; padding: .55rem 1.4rem; border-radius: 8px; text-decoration: none; font-weight: 600; font-size: .9rem; transition: transform .15s, box-shadow .15s; }
.nav-cta:hover { transform: translateY(-1px); box-shadow: 0 4px 16px rgba(255,107,53,.35); }
/* ── Sections ── */
section { padding: 6rem 2rem; }
.container { max-width: 1140px; margin: 0 auto; }
.section-label { display: inline-block; font-size: .8rem; font-weight: 700; text-transform: uppercase; letter-spacing: .1em; color: var(--orange); margin-bottom: .75rem; }
.section-title { font-size: 2.5rem; font-weight: 800; color: var(--midnight); line-height: 1.2; margin-bottom: 1rem; }
.section-sub { font-size: 1.15rem; color: var(--gray-500); max-width: 640px; margin-bottom: 3rem; }
.text-center { text-align: center; }
.mx-auto { margin-left: auto; margin-right: auto; }
/* ── Hero ── */
.hero {
min-height: 100vh;
display: flex; align-items: center; justify-content: center;
background: linear-gradient(168deg, var(--cream) 0%, var(--white) 55%, #e8f4f0 100%);
padding-top: 64px;
text-align: center;
position: relative;
overflow: hidden;
}
.hero::before {
content: '';
position: absolute; top: -40%; right: -20%;
width: 700px; height: 700px;
background: radial-gradient(circle, rgba(255,107,53,.08) 0%, transparent 70%);
border-radius: 50%;
}
.hero-badge { display: inline-flex; align-items: center; gap: .5rem; background: var(--white); border: 1px solid var(--gray-200); padding: .4rem 1rem; border-radius: 999px; font-size: .85rem; font-weight: 600; color: var(--gray-700); margin-bottom: 1.5rem; box-shadow: 0 2px 8px rgba(0,0,0,.04); }
.hero-badge .dot { width: 8px; height: 8px; border-radius: 50%; background: var(--green); }
.hero h1 { font-size: clamp(2.5rem, 5vw, 4rem); font-weight: 900; color: var(--midnight); line-height: 1.1; margin-bottom: 1.25rem; }
.hero h1 span { color: var(--orange); }
.hero p { font-size: 1.2rem; color: var(--gray-500); max-width: 600px; margin: 0 auto 2.5rem; }
.hero-actions { display: flex; gap: 1rem; justify-content: center; flex-wrap: wrap; }
.btn { display: inline-flex; align-items: center; gap: .5rem; padding: .8rem 2rem; border-radius: 10px; font-weight: 700; font-size: 1rem; text-decoration: none; transition: all .2s; border: none; cursor: pointer; }
.btn-primary { background: var(--orange); color: white; }
.btn-primary:hover { transform: translateY(-2px); box-shadow: 0 8px 24px rgba(255,107,53,.3); }
.btn-outline { background: transparent; color: var(--midnight); border: 2px solid var(--gray-300); }
.btn-outline:hover { border-color: var(--orange); color: var(--orange); }
.hero-code {
margin-top: 3.5rem;
background: var(--gray-900);
color: #e5e7eb;
padding: 1.5rem 2rem;
border-radius: var(--radius);
text-align: left;
font-family: 'SF Mono', 'Fira Code', 'Cascadia Code', monospace;
font-size: .9rem;
line-height: 1.8;
max-width: 620px;
margin-left: auto; margin-right: auto;
box-shadow: var(--shadow-lg);
position: relative;
}
.hero-code .line-comment { color: #6b7280; }
.hero-code .line-cmd { color: var(--orange); }
.hero-code .line-arg { color: var(--green); }
.hero-code-dots { display: flex; gap: 6px; margin-bottom: 1rem; }
.hero-code-dots span { width: 12px; height: 12px; border-radius: 50%; }
.hero-code-dots span:nth-child(1) { background: #ef4444; }
.hero-code-dots span:nth-child(2) { background: #eab308; }
.hero-code-dots span:nth-child(3) { background: #22c55e; }
/* ── Stats row ── */
.stats-row {
display: grid; grid-template-columns: repeat(4, 1fr); gap: 2rem;
margin-top: -3rem;
position: relative; z-index: 2;
}
.stat-card {
background: var(--white);
border: 1px solid var(--gray-200);
border-radius: var(--radius);
padding: 2rem;
text-align: center;
box-shadow: var(--shadow);
}
.stat-card .num { font-size: 2.5rem; font-weight: 900; color: var(--orange); }
.stat-card .label { font-size: .9rem; color: var(--gray-500); margin-top: .25rem; }
/* ── How It Works ── */
.how-it-works { background: var(--gray-50); }
.steps-grid { display: grid; grid-template-columns: repeat(4, 1fr); gap: 2rem; }
.step-card { background: var(--white); border-radius: var(--radius); padding: 2rem; border: 1px solid var(--gray-200); position: relative; transition: transform .2s, box-shadow .2s; }
.step-card:hover { transform: translateY(-4px); box-shadow: var(--shadow-lg); }
.step-num { width: 40px; height: 40px; border-radius: 50%; background: var(--orange); color: white; display: flex; align-items: center; justify-content: center; font-weight: 800; font-size: 1rem; margin-bottom: 1rem; }
.step-card h3 { font-size: 1.1rem; font-weight: 700; margin-bottom: .5rem; color: var(--midnight); }
.step-card p { font-size: .9rem; color: var(--gray-500); }
/* ── Swarm Architecture ── */
.architecture-visual {
background: var(--gray-900);
border-radius: var(--radius);
padding: 3rem;
color: white;
font-family: 'SF Mono', 'Fira Code', monospace;
font-size: .85rem;
line-height: 1.7;
overflow-x: auto;
white-space: pre;
box-shadow: var(--shadow-lg);
margin-top: 2rem;
}
.arch-orange { color: var(--orange); }
.arch-green { color: var(--green); }
.arch-blue { color: var(--ocean); }
.arch-yellow { color: var(--yellow); }
.arch-dim { color: #6b7280; }
/* ── Features Grid ── */
.features-grid { display: grid; grid-template-columns: repeat(3, 1fr); gap: 2rem; }
.feature-card {
background: var(--white);
border: 1px solid var(--gray-200);
border-radius: var(--radius);
padding: 2rem;
transition: transform .2s, box-shadow .2s;
}
.feature-card:hover { transform: translateY(-4px); box-shadow: var(--shadow-lg); }
.feature-icon {
width: 48px; height: 48px;
border-radius: 12px;
display: flex; align-items: center; justify-content: center;
font-size: 1.4rem;
margin-bottom: 1rem;
}
.feature-card h3 { font-size: 1.05rem; font-weight: 700; color: var(--midnight); margin-bottom: .5rem; }
.feature-card p { font-size: .9rem; color: var(--gray-500); }
.icon-orange { background: rgba(255,107,53,.1); }
.icon-blue { background: rgba(0,78,137,.1); }
.icon-green { background: rgba(0,168,120,.1); }
.icon-coral { background: rgba(239,71,111,.1); }
.icon-ocean { background: rgba(17,138,178,.1); }
.icon-yellow { background: rgba(255,209,102,.15); }
/* ── Commands ── */
.commands-section { background: var(--gray-50); }
.cmd-group { margin-bottom: 2.5rem; }
.cmd-group-title { font-size: 1.2rem; font-weight: 700; color: var(--midnight); margin-bottom: 1rem; display: flex; align-items: center; gap: .5rem; }
.cmd-group-title .badge { font-size: .7rem; background: var(--orange); color: white; padding: .2rem .6rem; border-radius: 999px; font-weight: 700; }
.cmd-table { width: 100%; border-collapse: collapse; background: var(--white); border-radius: var(--radius-sm); overflow: hidden; box-shadow: 0 1px 4px rgba(0,0,0,.06); }
.cmd-table th { background: var(--midnight); color: white; text-align: left; padding: .8rem 1.2rem; font-size: .8rem; font-weight: 600; text-transform: uppercase; letter-spacing: .05em; }
.cmd-table td { padding: .8rem 1.2rem; border-bottom: 1px solid var(--gray-100); font-size: .9rem; }
.cmd-table tr:last-child td { border-bottom: none; }
.cmd-table code { background: var(--gray-100); padding: .15rem .5rem; border-radius: 4px; font-size: .85rem; color: var(--orange); font-weight: 600; white-space: nowrap; }
/* ── Use Cases ── */
.use-case {
background: var(--white);
border: 1px solid var(--gray-200);
border-radius: var(--radius);
padding: 2.5rem;
margin-bottom: 2.5rem;
display: grid;
grid-template-columns: 1fr 1fr;
gap: 2.5rem;
align-items: start;
transition: box-shadow .2s;
}
.use-case:hover { box-shadow: var(--shadow-lg); }
.use-case.reverse .uc-text { order: 2; }
.use-case.reverse .uc-visual { order: 1; }
.uc-number { font-size: .8rem; font-weight: 700; color: var(--orange); text-transform: uppercase; letter-spacing: .1em; margin-bottom: .5rem; }
.uc-title { font-size: 1.5rem; font-weight: 800; color: var(--midnight); margin-bottom: .5rem; }
.uc-persona { font-size: .95rem; color: var(--gray-500); font-style: italic; margin-bottom: 1rem; }
.uc-scenario { font-size: .95rem; color: var(--gray-700); margin-bottom: 1.25rem; }
.uc-code {
background: var(--gray-900);
color: #e5e7eb;
padding: 1rem 1.25rem;
border-radius: var(--radius-sm);
font-family: 'SF Mono', 'Fira Code', monospace;
font-size: .82rem;
line-height: 1.7;
margin-bottom: 1.25rem;
overflow-x: auto;
}
.uc-code .comment { color: #6b7280; }
.uc-code .cmd { color: var(--orange); }
.uc-code .arg { color: var(--green); }
.uc-results { list-style: none; }
.uc-results li { padding: .4rem 0; font-size: .9rem; color: var(--gray-700); display: flex; align-items: flex-start; gap: .5rem; }
.uc-results li::before { content: ''; width: 8px; height: 8px; border-radius: 50%; background: var(--green); flex-shrink: 0; margin-top: .45rem; }
.uc-visual {
background: var(--cream);
border-radius: var(--radius-sm);
padding: 2rem;
}
.uc-output-table { width: 100%; border-collapse: collapse; font-size: .85rem; }
.uc-output-table th { text-align: left; padding: .5rem .75rem; font-weight: 700; color: var(--midnight); border-bottom: 2px solid var(--gray-300); }
.uc-output-table td { padding: .5rem .75rem; border-bottom: 1px solid var(--gray-200); color: var(--gray-700); }
.uc-mcp-tags { display: flex; gap: .5rem; flex-wrap: wrap; margin-top: 1rem; }
.uc-mcp-tag { font-size: .75rem; background: rgba(0,78,137,.08); color: var(--blue); padding: .25rem .65rem; border-radius: 999px; font-weight: 600; }
/* ── MCP ── */
.mcp-diagram {
background: var(--white);
border: 1px solid var(--gray-200);
border-radius: var(--radius);
padding: 2.5rem;
box-shadow: var(--shadow);
}
.mcp-cols { display: grid; grid-template-columns: repeat(3, 1fr); gap: 2rem; margin-top: 2rem; }
.mcp-col { text-align: center; }
.mcp-col-title { font-weight: 700; font-size: .9rem; color: var(--midnight); margin-bottom: 1rem; text-transform: uppercase; letter-spacing: .05em; }
.mcp-items { list-style: none; display: flex; flex-direction: column; gap: .5rem; }
.mcp-items li {
background: var(--gray-50);
border: 1px solid var(--gray-200);
border-radius: 8px;
padding: .6rem 1rem;
font-size: .9rem;
font-weight: 500;
color: var(--gray-700);
}
.mcp-flow { display: grid; grid-template-columns: repeat(3, 1fr); gap: 1.5rem; margin-top: 2.5rem; }
.mcp-flow-step { background: var(--gray-50); border-radius: var(--radius-sm); padding: 1.5rem; text-align: center; }
.mcp-flow-step .step-icon { font-size: 2rem; margin-bottom: .75rem; }
.mcp-flow-step h4 { font-size: .95rem; font-weight: 700; color: var(--midnight); margin-bottom: .4rem; }
.mcp-flow-step p { font-size: .85rem; color: var(--gray-500); }
/* ── Domain Detection ── */
.domain-grid { display: grid; grid-template-columns: repeat(2, 1fr); gap: 1.5rem; }
.domain-card {
background: var(--white);
border: 1px solid var(--gray-200);
border-radius: var(--radius);
padding: 1.75rem;
transition: transform .2s;
}
.domain-card:hover { transform: translateY(-3px); box-shadow: var(--shadow); }
.domain-card .domain-icon { font-size: 1.5rem; margin-bottom: .75rem; }
.domain-card h3 { font-size: 1.05rem; font-weight: 700; color: var(--midnight); margin-bottom: .35rem; }
.domain-card .trigger { font-size: .8rem; color: var(--gray-500); margin-bottom: .75rem; }
.domain-card .trigger code { background: var(--gray-100); padding: .1rem .4rem; border-radius: 3px; font-size: .78rem; }
.domain-card ul { list-style: none; font-size: .85rem; color: var(--gray-700); }
.domain-card ul li { padding: .15rem 0; }
.domain-card ul li::before { content: ''; display: inline-block; width: 6px; height: 6px; border-radius: 50%; background: var(--orange); margin-right: .5rem; vertical-align: middle; }
/* ── Statusline ── */
.statusline-preview {
background: var(--gray-900);
color: #e5e7eb;
padding: 2rem;
border-radius: var(--radius);
font-family: 'SF Mono', 'Fira Code', monospace;
font-size: .85rem;
line-height: 1.8;
box-shadow: var(--shadow-lg);
margin-top: 2rem;
max-width: 640px;
}
.sl-dim { color: #6b7280; }
.sl-orange { color: var(--orange); }
.sl-green { color: var(--green); }
.sl-yellow { color: var(--yellow); }
.sl-blue { color: var(--ocean); }
.sl-bar-filled { color: var(--orange); }
.sl-bar-empty { color: #374151; }
/* ── CTA ── */
.cta-section {
background: linear-gradient(135deg, var(--midnight) 0%, #0a2540 100%);
color: white;
text-align: center;
}
.cta-section .section-title { color: white; }
.cta-section .section-sub { color: rgba(255,255,255,.6); }
.cta-code {
background: rgba(255,255,255,.08);
border: 1px solid rgba(255,255,255,.12);
color: var(--gray-200);
padding: 1.25rem 2rem;
border-radius: var(--radius-sm);
font-family: 'SF Mono', 'Fira Code', monospace;
font-size: .95rem;
display: inline-block;
margin-bottom: 2rem;
}
.cta-code .hl { color: var(--orange); font-weight: 700; }
/* ── Footer ── */
footer {
background: var(--gray-900);
color: var(--gray-500);
padding: 3rem 2rem;
text-align: center;
font-size: .85rem;
}
footer a { color: var(--orange); text-decoration: none; }
footer .footer-brand { font-size: 1.1rem; font-weight: 800; color: white; margin-bottom: .5rem; }
/* ── Responsive ── */
@media (max-width: 1024px) {
.stats-row { grid-template-columns: repeat(2, 1fr); }
.steps-grid { grid-template-columns: repeat(2, 1fr); }
.features-grid { grid-template-columns: repeat(2, 1fr); }
.mcp-cols { grid-template-columns: 1fr; }
.mcp-flow { grid-template-columns: 1fr; }
.domain-grid { grid-template-columns: 1fr; }
}
@media (max-width: 768px) {
.nav-links { display: none; }
section { padding: 4rem 1.25rem; }
.hero h1 { font-size: 2.2rem; }
.stats-row { grid-template-columns: 1fr 1fr; gap: 1rem; margin-top: -2rem; }
.steps-grid { grid-template-columns: 1fr; }
.features-grid { grid-template-columns: 1fr; }
.use-case { grid-template-columns: 1fr; }
.use-case.reverse .uc-text { order: 1; }
.use-case.reverse .uc-visual { order: 2; }
.section-title { font-size: 2rem; }
}
</style>
</head>
<body>
<!-- ═══════════ NAV ═══════════ -->
<nav>
<a href="#" class="nav-brand"><span>10x</span> Analyst-Loop</a>
<ul class="nav-links">
<li><a href="#how-it-works">How It Works</a></li>
<li><a href="#features">Features</a></li>
<li><a href="#commands">Commands</a></li>
<li><a href="#use-cases">Use Cases</a></li>
<li><a href="#mcp">MCP</a></li>
<li><a href="#architecture">Architecture</a></li>
</ul>
<div style="display:flex;gap:.75rem;align-items:center;">
<a href="https://github.com/OpenAnalystInc/10x-analyst-loop" class="nav-cta" target="_blank" style="background:var(--midnight);">GitHub</a>
<a href="https://10x.in" class="nav-cta" target="_blank">Visit 10x.in</a>
</div>
</nav>
<!-- ═══════════ HERO ═══════════ -->
<section class="hero">
<div class="container">
<div class="hero-badge"><span class="dot"></span> v2.1.1 — Agent Swarms + MCP Integration</div>
<h1>Data Analysis on<br/><span>Autopilot</span></h1>
<p>A multi-agent Claude Code plugin that transforms raw CSV, Excel, and JSON files into insights, reports, dashboards, and business recommendations — fully automated.</p>
<div class="hero-actions">
<a href="#use-cases" class="btn btn-primary">See Use Cases</a>
<a href="#commands" class="btn btn-outline">View All Commands</a>
</div>
<div class="hero-code">
<div class="hero-code-dots"><span></span><span></span><span></span></div>
<span class="line-comment"># Point at any folder. Walk away. Come back to a full analysis.</span><br/>
<span class="line-cmd">/10x-analyst-loop:analyze</span> <span class="line-arg">C:/Users/you/sales-data</span><br/><br/>
<span class="line-comment"># Connect Shopify + Slack for live data + notifications</span><br/>
<span class="line-cmd">/10x-analyst-loop:connect</span> <span class="line-arg">my-store shopify</span><br/>
<span class="line-cmd">/10x-analyst-loop:connect</span> <span class="line-arg">my-store slack #analytics</span><br/><br/>
<span class="line-comment"># Analyze all projects in parallel — one agent per project</span><br/>
<span class="line-cmd">/10x-analyst-loop:batch-analyze</span> <span class="line-arg">input/*</span>
</div>
</div>
</section>
<!-- ═══════════ STATS ═══════════ -->
<section style="padding-top: 0;">
<div class="container">
<div class="stats-row">
<div class="stat-card"><div class="num">18</div><div class="label">Slash Commands</div></div>
<div class="stat-card"><div class="num">5</div><div class="label">Specialist Agents</div></div>
<div class="stat-card"><div class="num">8</div><div class="label">Swarm Patterns</div></div>
<div class="stat-card"><div class="num">12+</div><div class="label">MCP Integrations</div></div>
</div>
</div>
</section>
<!-- ═══════════ HOW IT WORKS ═══════════ -->
<section class="how-it-works" id="how-it-works">
<div class="container">
<div class="text-center">
<div class="section-label">How It Works</div>
<h2 class="section-title">Four Steps. Zero Config.</h2>
<p class="section-sub mx-auto">Drop your data anywhere. Point the plugin at it. Get a complete analysis — cleaned data, statistical insights, charts, an interactive dashboard, and a business-ready report.</p>
</div>
<div class="steps-grid">
<div class="step-card">
<div class="step-num">1</div>
<h3>Point at Data</h3>
<p>Give any command a project name or a folder path from anywhere on your system. The plugin auto-copies data files into the project registry.</p>
</div>
<div class="step-card">
<div class="step-num">2</div>
<h3>Agent Swarm Activates</h3>
<p>5 specialist agents (Data Engineer, Statistician, Visualizer, Reporter, Strategist) coordinate through an orchestrated pipeline with parallel execution.</p>
</div>
<div class="step-card">
<div class="step-num">3</div>
<h3>Analysis Runs</h3>
<p>Profiling, cleaning, EDA, chart generation, dashboard building, and report writing — all happen automatically with domain-specific intelligence.</p>
</div>
<div class="step-card">
<div class="step-num">4</div>
<h3>Results Delivered</h3>
<p>Open your interactive dashboard, read the Markdown report, explore the charts. Optionally send results to Slack, Gmail, or Discord via MCP.</p>
</div>
</div>
</div>
</section>
<!-- ═══════════ FEATURES ═══════════ -->
<section id="features">
<div class="container">
<div class="text-center">
<div class="section-label">Capabilities</div>
<h2 class="section-title">Everything You Need for Data Analysis</h2>
<p class="section-sub mx-auto">From profiling to production monitoring, the plugin covers the entire data analysis lifecycle.</p>
</div>
<div class="features-grid">
<div class="feature-card">
<div class="feature-icon icon-orange">⚙</div>
<h3>Multi-Agent Swarm</h3>
<p>5 specialist agents work in parallel. The Statistician and Dashboard builder run simultaneously — cutting total analysis time nearly in half.</p>
</div>
<div class="feature-card">
<div class="feature-icon icon-blue">🔌</div>
<h3>MCP Integration</h3>
<p>Auto-discover Shopify, databases, Google Sheets, Slack, Gmail, Discord, and more. Pull live data in, push results out — all automated.</p>
</div>
<div class="feature-card">
<div class="feature-icon icon-green">📊</div>
<h3>Interactive Dashboards</h3>
<p>Standalone HTML dashboards with Chart.js. KPI cards with delta indicators, responsive layout, works offline after first load. Open in any browser.</p>
</div>
<div class="feature-card">
<div class="feature-icon icon-coral">🔬</div>
<h3>Domain Auto-Detection</h3>
<p>Automatically detects E-Commerce, Marketing, Healthcare, or General data from column names and runs domain-specific analysis patterns.</p>
</div>
<div class="feature-card">
<div class="feature-icon icon-ocean">🕑</div>
<h3>Live Monitoring</h3>
<p>Watch your data with CronCreate scheduling. Re-profile every N minutes. Get alerts via Slack or webhook when quality drops.</p>
</div>
<div class="feature-card">
<div class="feature-icon icon-yellow">🎤</div>
<h3>Voice-Friendly</h3>
<p>All 18 commands work with Claude Code voice mode. Say "analyze my sales project" and the pipeline runs. Natural speech routing built-in.</p>
</div>
<div class="feature-card">
<div class="feature-icon icon-orange">🚀</div>
<h3>Batch Processing</h3>
<p>Analyze 10+ projects in parallel with worktree isolation. Each project gets its own agent. Combined cross-project insights at the end.</p>
</div>
<div class="feature-card">
<div class="feature-icon icon-blue">🛠</div>
<h3>Self-Healing Pipeline</h3>
<p>3-attempt auto-recovery: try, auto-fix (install deps, fix paths, handle encoding), WebSearch for unknown errors. Rarely needs manual intervention.</p>
</div>
<div class="feature-card">
<div class="feature-icon icon-green">🤖</div>
<h3>Model-Agnostic</h3>
<p>Every instruction is explicit step-by-step. Haiku runs as reliably as Opus. Use fast models for simple tasks, powerful models for deep analysis.</p>
</div>
</div>
</div>
</section>
<!-- ═══════════ COMMANDS ═══════════ -->
<section class="commands-section" id="commands">
<div class="container">
<div class="text-center">
<div class="section-label">Commands</div>
<h2 class="section-title">18 Commands. One Plugin.</h2>
<p class="section-sub mx-auto">Every command accepts a project name or a full filesystem path. Results always go to <code>output/<project>/</code>.</p>
</div>
<div class="cmd-group">
<div class="cmd-group-title">Core Analysis <span class="badge">7 commands</span></div>
<table class="cmd-table">
<thead><tr><th>Command</th><th>Description</th><th>Model</th></tr></thead>
<tbody>
<tr><td><code>:analyze</code></td><td>Full 5-agent swarm pipeline — profile, clean, EDA, visualize, report, dashboard</td><td>Sonnet</td></tr>
<tr><td><code>:profile</code></td><td>Data profiling and quality assessment</td><td>Haiku</td></tr>
<tr><td><code>:clean</code></td><td>Data cleaning and transformation (swarm mode for 10+ files)</td><td>Haiku</td></tr>
<tr><td><code>:query</code></td><td>Ask natural language questions about your data</td><td>Sonnet</td></tr>
<tr><td><code>:visualize</code></td><td>Generate charts and visualizations</td><td>Haiku</td></tr>
<tr><td><code>:report</code></td><td>Comprehensive Markdown analysis report</td><td>Sonnet</td></tr>
<tr><td><code>:dashboard</code></td><td>Standalone interactive HTML dashboard</td><td>Sonnet</td></tr>
</tbody>
</table>
</div>
<div class="cmd-group">
<div class="cmd-group-title">Power Commands <span class="badge">4 commands</span></div>
<table class="cmd-table">
<thead><tr><th>Command</th><th>Description</th><th>Swarm Pattern</th></tr></thead>
<tbody>
<tr><td><code>:watch</code></td><td>Live-monitor with CronCreate — re-profile, re-dashboard, or full re-analysis on schedule</td><td>Loop Swarm</td></tr>
<tr><td><code>:batch-analyze</code></td><td>Parallel agents per project in isolated worktrees (up to 10 concurrent)</td><td>Worktree Swarm</td></tr>
<tr><td><code>:compare</code></td><td>Side-by-side dataset comparison with parallel profiling</td><td>Worktree Pair</td></tr>
<tr><td><code>:research</code></td><td>Multi-source web research: Reddit, X, HN, YouTube, web (6 parallel searches)</td><td>Search Swarm</td></tr>
</tbody>
</table>
</div>
<div class="cmd-group">
<div class="cmd-group-title">System & DevOps <span class="badge">5 commands</span></div>
<table class="cmd-table">
<thead><tr><th>Command</th><th>Description</th><th>Model</th></tr></thead>
<tbody>
<tr><td><code>:debug</code></td><td>Auto-diagnose pipeline failures, check deps, match error patterns, search fixes</td><td>Sonnet</td></tr>
<tr><td><code>:schedule</code></td><td>Schedule future/recurring tasks via CronCreate</td><td>Haiku</td></tr>
<tr><td><code>:notify</code></td><td>Configure webhook notifications for pipeline events</td><td>Haiku</td></tr>
<tr><td><code>:simplify</code></td><td>3-agent code review swarm (Reuse + Quality + Efficiency)</td><td>Sonnet</td></tr>
<tr><td><code>:api</code></td><td>Export all artifacts as structured JSON, optionally serve on port 8080</td><td>Haiku</td></tr>
</tbody>
</table>
</div>
<div class="cmd-group">
<div class="cmd-group-title">Integration <span class="badge">2 commands</span></div>
<table class="cmd-table">
<thead><tr><th>Command</th><th>Description</th><th>Model</th></tr></thead>
<tbody>
<tr><td><code>:connect</code></td><td>Auto-discover & configure MCP data sources and messaging apps</td><td>Haiku</td></tr>
<tr><td><code>:live-update</code></td><td>Send results to connected apps (Slack, Gmail, Discord, Telegram)</td><td>Haiku</td></tr>
</tbody>
</table>
</div>
</div>
</section>
<!-- ═══════════ USE CASES ═══════════ -->
<section id="use-cases">
<div class="container">
<div class="text-center">
<div class="section-label">Use Cases</div>
<h2 class="section-title">Real Problems. Real Solutions.</h2>
<p class="section-sub mx-auto">See how teams and founders use 10x-Analyst-Loop to turn raw data into decisions — without writing a single line of code.</p>
</div>
<!-- UC 1 -->
<div class="use-case">
<div class="uc-text">
<div class="uc-number">Use Case 1</div>
<div class="uc-title">E-Commerce Revenue Intelligence</div>
<div class="uc-persona">"Where is my revenue going?" — Shopify Store Owner</div>
<div class="uc-scenario">You run a Shopify store with 50,000+ orders. You export data monthly but never have time to analyze it. You need revenue trends, product performance, customer segmentation, and cohort retention — all automated.</div>
<div class="uc-code">
<span class="comment"># Connect Shopify for live data pulls</span>
<span class="cmd">/10x-analyst-loop:connect</span> <span class="arg">my-store shopify</span>
<span class="comment"># Run full analysis</span>
<span class="cmd">/10x-analyst-loop:analyze</span> <span class="arg">my-store</span>
<span class="comment"># Follow up</span>
<span class="cmd">/10x-analyst-loop:query</span> <span class="arg">my-store "highest CLV segments?"</span>
<span class="cmd">/10x-analyst-loop:watch</span> <span class="arg">my-store 1h --full</span>
<span class="cmd">/10x-analyst-loop:live-update</span> <span class="arg">my-store slack</span>
</div>
<ul class="uc-results">
<li>Revenue trend analysis (+23% MoM) with growth drivers identified</li>
<li>Top 10 products by revenue — 3 products drive 60% of total</li>
<li>RFM segmentation: Champions 12%, At Risk 8%</li>
<li>Cohort retention heatmap: Month 3 drop-off at 45%</li>
<li>Interactive dashboard + Markdown report + 8 PNG charts</li>
</ul>
<div class="uc-mcp-tags">
<span class="uc-mcp-tag">Shopify MCP</span>
<span class="uc-mcp-tag">Slack MCP</span>
</div>
</div>
<div class="uc-visual">
<h4 style="font-size:.9rem;font-weight:700;color:var(--midnight);margin-bottom:1rem;">Output Artifacts</h4>
<table class="uc-output-table">
<thead><tr><th>File</th><th>Contains</th></tr></thead>
<tbody>
<tr><td>data-profile.md</td><td>50,234 orders, 97.1% quality</td></tr>
<tr><td>insights.json</td><td>12 structured findings</td></tr>
<tr><td>dashboard.html</td><td>KPI cards, trends, product breakdown</td></tr>
<tr><td>report.md</td><td>Executive summary + recommendations</td></tr>
<tr><td>charts/</td><td>8 PNG: revenue, products, AOV, RFM, cohort</td></tr>
</tbody>
</table>
</div>
</div>
<!-- UC 2 -->
<div class="use-case reverse">
<div class="uc-text">
<div class="uc-number">Use Case 2</div>
<div class="uc-title">Cross-Platform Campaign Performance</div>
<div class="uc-persona">"Which campaigns actually work?" — Marketing Team Lead</div>
<div class="uc-scenario">Your team runs campaigns across Google Ads, Meta, and email. You have CSVs from each platform but no unified view. You need cross-platform ROAS, funnel analysis, and budget allocation insights.</div>
<div class="uc-code">
<span class="comment"># Drop all platform exports into one folder</span>
<span class="cmd">/10x-analyst-loop:analyze</span> <span class="arg">C:/Marketing/Q1-campaigns</span>
<span class="comment"># Compare quarters</span>
<span class="cmd">/10x-analyst-loop:compare</span> <span class="arg">q1-campaigns q2-campaigns</span>
<span class="comment"># Custom chart</span>
<span class="cmd">/10x-analyst-loop:visualize</span> <span class="arg">q1-campaigns "ROAS by channel"</span>
<span class="comment"># Schedule weekly report every Monday 9am</span>
<span class="cmd">/10x-analyst-loop:schedule</span> <span class="arg">q1-campaigns report "every monday 9am"</span>
</div>
<ul class="uc-results">
<li>Domain auto-detected as MARKETING from column names</li>
<li>Unified cross-platform view: Google Ads 3.2x ROAS vs Meta 1.8x</li>
<li>Email has highest conversion (4.2%) but lowest reach</li>
<li>Funnel analysis with drop-off rates per channel</li>
<li>Budget reallocation recommendations with expected impact</li>
</ul>
</div>
<div class="uc-visual">
<h4 style="font-size:.9rem;font-weight:700;color:var(--midnight);margin-bottom:1rem;">Domain Detection</h4>
<div style="background:white;border-radius:8px;padding:1.25rem;font-size:.85rem;color:var(--gray-700);margin-bottom:1rem;">
<strong style="color:var(--midnight);">Trigger columns found:</strong><br/>
<code style="color:var(--orange);font-size:.82rem;">campaign, clicks, impressions, ctr, conversion</code><br/><br/>
<strong style="color:var(--midnight);">Domain:</strong> MARKETING<br/><br/>
<strong style="color:var(--midnight);">Auto-runs:</strong> Campaign performance, Channel ROAS, Funnel analysis, Budget efficiency
</div>
<div style="background:white;border-radius:8px;padding:1.25rem;font-size:.85rem;">
<strong style="color:var(--midnight);">Compare output:</strong><br/>
<span style="color:var(--gray-500);">comparison-vs-q2-campaigns.md</span><br/>
Row counts, quality diffs, metric trends, quarter-over-quarter insights
</div>
</div>
</div>
<!-- UC 3 -->
<div class="use-case">
<div class="uc-text">
<div class="uc-number">Use Case 3</div>
<div class="uc-title">Bulk Dataset Analysis at Scale</div>
<div class="uc-persona">"I need to analyze 15 datasets by Friday" — Data Analyst</div>
<div class="uc-scenario">You received 15 project datasets from different departments. Each needs profiling, cleaning, and a basic report. Doing them one by one would take days.</div>
<div class="uc-code">
<span class="comment"># Analyze ALL projects in parallel — one agent each</span>
<span class="cmd">/10x-analyst-loop:batch-analyze</span> <span class="arg">input/*</span>
<span class="comment"># Or specify individual projects</span>
<span class="cmd">/10x-analyst-loop:batch-analyze</span> <span class="arg">hr-data finance-q1 support-tickets</span>
</div>
<ul class="uc-results">
<li>15 parallel agents in isolated worktrees — one per project</li>
<li>Each runs the full :analyze pipeline independently</li>
<li>Combined summary table with cross-project insights</li>
<li>Total time = roughly one analysis (parallel execution)</li>
<li>Failed projects can be retried independently</li>
</ul>
</div>
<div class="uc-visual">
<h4 style="font-size:.9rem;font-weight:700;color:var(--midnight);margin-bottom:1rem;">Batch Results</h4>
<table class="uc-output-table">
<thead><tr><th>#</th><th>Project</th><th>Rows</th><th>Quality</th></tr></thead>
<tbody>
<tr><td>1</td><td>hr-data</td><td>12,450</td><td>94.2%</td></tr>
<tr><td>2</td><td>finance-q1</td><td>8,320</td><td>98.1%</td></tr>
<tr><td>3</td><td>support-tickets</td><td>45,000</td><td>87.3%</td></tr>
<tr><td>4</td><td>product-usage</td><td>120,400</td><td>92.7%</td></tr>
<tr><td>5</td><td>inventory</td><td>3,200</td><td>99.4%</td></tr>
</tbody>
</table>
<div style="margin-top:1rem;font-size:.82rem;color:var(--gray-500);">+ 10 more projects...</div>
</div>
</div>
<!-- UC 4 -->
<div class="use-case reverse">
<div class="uc-text">
<div class="uc-number">Use Case 4</div>
<div class="uc-title">Automated Data Quality Monitoring</div>
<div class="uc-persona">"Alert me when data quality drops" — Ops Manager</div>
<div class="uc-scenario">You have an automated pipeline that dumps CSVs into a folder. Sometimes the export breaks and produces garbage data. You need to know the moment it happens — not days later when dashboards break.</div>
<div class="uc-code">
<span class="comment"># Set up Slack alerts</span>
<span class="cmd">/10x-analyst-loop:connect</span> <span class="arg">pipeline-data slack #data-alerts</span>
<span class="comment"># Watch every 10 minutes</span>
<span class="cmd">/10x-analyst-loop:watch</span> <span class="arg">pipeline-data 10m --profile</span>
<span class="comment"># Also notify PagerDuty via webhook</span>
<span class="cmd">/10x-analyst-loop:notify</span> <span class="arg">pipeline-data https://events.pagerduty.com/v2/enqueue</span>
</div>
<ul class="uc-results">
<li>Re-profiles data every 10 minutes via CronCreate</li>
<li>Compares quality score against baseline</li>
<li>Slack alert when quality drops >5%: files affected, issue details</li>
<li>Webhook POST to PagerDuty with structured JSON payload</li>
<li>Full change log in watch-log.md for auditing</li>
</ul>
<div class="uc-mcp-tags">
<span class="uc-mcp-tag">Slack MCP</span>
<span class="uc-mcp-tag">Webhook</span>
<span class="uc-mcp-tag">CronCreate</span>
</div>
</div>
<div class="uc-visual">
<h4 style="font-size:.9rem;font-weight:700;color:var(--midnight);margin-bottom:1rem;">Alert Example (Slack)</h4>
<div style="background:white;border-radius:8px;padding:1.25rem;font-size:.85rem;color:var(--gray-700);font-family:'SF Mono',monospace;line-height:1.7;">
<span style="color:var(--coral);font-weight:700;">⚠️ Data Quality Alert — pipeline-data</span><br/><br/>
Quality dropped from <strong>96.4%</strong> to <strong>82.1%</strong><br/>
3 new issues detected:<br/>
• orders.csv: 14% missing in customer_id<br/>
• orders.csv: 230 duplicate rows<br/>
• products.csv: encoding error<br/><br/>
<span style="color:var(--gray-500);font-size:.8rem;">— 10x Analyst Loop</span>
</div>
</div>
</div>
<!-- UC 5 -->
<div class="use-case">
<div class="uc-text">
<div class="uc-number">Use Case 5</div>
<div class="uc-title">Market Research + Internal Data Analysis</div>
<div class="uc-persona">"Research the market and analyze our data" — Startup Founder</div>
<div class="uc-scenario">You're building a SaaS product. You need to research competitor pricing trends AND analyze your own user engagement data — then share findings with your product team via Slack and investors via email.</div>
<div class="uc-code">
<span class="comment"># Part 1: Market research (no data files needed)</span>
<span class="cmd">/10x-analyst-loop:research</span> <span class="arg">"SaaS pricing trends 2026"</span>
<span class="comment"># Part 2: Analyze your own data</span>
<span class="cmd">/10x-analyst-loop:analyze</span> <span class="arg">user-engagement</span>
<span class="comment"># Part 3: Distribute findings</span>
<span class="cmd">/10x-analyst-loop:connect</span> <span class="arg">user-engagement slack #product</span>
<span class="cmd">/10x-analyst-loop:connect</span> <span class="arg">user-engagement gmail</span>
<span class="cmd">/10x-analyst-loop:live-update</span> <span class="arg">user-engagement slack</span>
<span class="cmd">/10x-analyst-loop:live-update</span> <span class="arg">user-engagement gmail</span>
</div>
<ul class="uc-results">
<li>6 parallel WebSearches: Reddit, HN, X, YouTube, general web</li>
<li>Cross-platform convergence detection (recurring themes)</li>
<li>Full engagement analysis: cohort retention, feature usage, churn</li>
<li>Auto-send insights to Slack #product and investors via Gmail</li>
<li>Research brief saved to output/research/saas-pricing-trends-2026.md</li>
</ul>
<div class="uc-mcp-tags">
<span class="uc-mcp-tag">WebSearch</span>
<span class="uc-mcp-tag">Slack MCP</span>
<span class="uc-mcp-tag">Gmail MCP</span>
</div>
</div>
<div class="uc-visual">
<h4 style="font-size:.9rem;font-weight:700;color:var(--midnight);margin-bottom:1rem;">Research Output</h4>
<div style="background:white;border-radius:8px;padding:1.25rem;font-size:.85rem;color:var(--gray-700);margin-bottom:1rem;">
<strong style="color:var(--midnight);">saas-pricing-trends-2026.md</strong><br/><br/>
<span style="color:var(--orange);font-weight:600;">Key Findings:</span><br/>
1. Usage-based pricing up 34% YoY (Reddit + HN consensus)<br/>
2. PLG companies shifting to hybrid models<br/>
3. AI-native SaaS charging per outcome, not per seat<br/>
4. Free tier becoming table stakes for dev tools
</div>
<div style="background:white;border-radius:8px;padding:1.25rem;font-size:.85rem;color:var(--gray-700);">
<strong style="color:var(--midnight);">Live Update Sent:</strong><br/>
Slack #product + Gmail investors@company.com<br/>
<span style="color:var(--green);">✓ Delivered</span>
</div>
</div>
</div>
</div>
</section>
<!-- ═══════════ MCP INTEGRATION ═══════════ -->
<section id="mcp" style="background: var(--gray-50);">
<div class="container">
<div class="text-center">
<div class="section-label">MCP Integration</div>
<h2 class="section-title">Connect Everything. Automate Everything.</h2>
<p class="section-sub mx-auto">MCP (Model Context Protocol) servers extend the plugin with external data sources, messaging, and actions. Auto-discovered at runtime — zero hardcoding.</p>
</div>
<div class="mcp-diagram">
<div class="mcp-cols">
<div class="mcp-col">
<div class="mcp-col-title" style="color:var(--blue);">Data Sources</div>
<ul class="mcp-items">
<li>Shopify</li>
<li>PostgreSQL / Supabase</li>
<li>Google Sheets</li>
<li>Notion</li>
<li>Airtable</li>
<li>Stripe</li>
</ul>
</div>
<div class="mcp-col">
<div class="mcp-col-title" style="color:var(--green);">Messaging</div>
<ul class="mcp-items">
<li>Slack</li>
<li>Gmail</li>
<li>Discord</li>
<li>Telegram</li>
<li>Microsoft Teams</li>
</ul>
</div>
<div class="mcp-col">
<div class="mcp-col-title" style="color:var(--orange);">Actions</div>
<ul class="mcp-items">
<li>Composio</li>
<li>Zapier</li>
<li>Webhooks</li>
</ul>
</div>
</div>
</div>
<div class="mcp-flow">
<div class="mcp-flow-step">
<div class="step-icon">🔍</div>
<h4>Discover</h4>
<p><code>:connect</code> runs 9+ parallel ToolSearch calls to find all available MCPs</p>
</div>
<div class="mcp-flow-step">
<div class="step-icon">📌</div>
<h4>Configure</h4>
<p>Discovered tools are classified and saved to <code>.mcp-config.json</code></p>
</div>
<div class="mcp-flow-step">
<div class="step-icon">⚡</div>
<h4>Automate</h4>
<p>Pipeline stages auto-pull data and push results through connected MCPs</p>
</div>
</div>
</div>
</section>
<!-- ═══════════ ARCHITECTURE ═══════════ -->
<section id="architecture">
<div class="container">
<div class="text-center">
<div class="section-label">Architecture</div>
<h2 class="section-title">5-Agent Swarm Pipeline</h2>
<p class="section-sub mx-auto">An orchestrated pipeline of specialist agents with parallel execution at key stages for maximum throughput and token efficiency.</p>
</div>
<div class="architecture-visual"><span class="arch-dim"> User Request (text or voice)</span>
<span class="arch-dim"> |</span>
<span class="arch-dim"> v</span>
<span class="arch-orange">+-------------------+</span>
<span class="arch-orange">| ORCHESTRATOR |</span> <span class="arch-dim"><-- INDEX.md routes everything</span>
<span class="arch-orange">| (Skill Router) |</span>
<span class="arch-orange">+--------+----------+</span>
<span class="arch-dim"> |</span>
<span class="arch-dim"> +------+---------------+---------------+----------+</span>
<span class="arch-dim"> v v v v v</span>
<span class="arch-blue">+---------+</span> <span class="arch-green">+---------+</span> <span class="arch-yellow">+----------+</span> <span class="arch-blue">+--------+</span> <span class="arch-orange">+----------+</span>
<span class="arch-blue">| Data |</span> <span class="arch-green">| Stats |</span> <span class="arch-yellow">|Visualizer|</span> <span class="arch-blue">|Reporter|</span> <span class="arch-orange">|Strategist|</span>
<span class="arch-blue">| Engineer|</span> <span class="arch-green">| ician |</span> <span class="arch-yellow">| |</span> <span class="arch-blue">| |</span> <span class="arch-orange">| |</span>
<span class="arch-blue">+----+----+</span> <span class="arch-green">+----+----+</span> <span class="arch-yellow">+----+-----+</span> <span class="arch-blue">+---+----+</span> <span class="arch-orange">+----+-----+</span>
<span class="arch-dim"> | | | | |</span>
<span class="arch-dim"> v v v v v</span>
Clean & EDA & Charts & Markdown Business
Profile Stats Dashboard Report Actions</div>
<!-- Domain detection -->
<div style="margin-top:3rem;">
<h3 style="font-size:1.3rem;font-weight:700;color:var(--midnight);margin-bottom:1.5rem;text-align:center;">Auto-Detected Domains</h3>
<div class="domain-grid">
<div class="domain-card">
<div class="domain-icon">🛒</div>
<h3>E-Commerce</h3>
<div class="trigger">Columns: <code>order</code> <code>revenue</code> <code>price</code> <code>product</code> <code>customer</code></div>
<ul>
<li>Revenue trends & MoM growth</li>
<li>Top products by revenue</li>
<li>Average Order Value (AOV)</li>
<li>RFM customer segmentation</li>
<li>Cohort retention analysis</li>
</ul>
</div>
<div class="domain-card">
<div class="domain-icon">📈</div>
<h3>Marketing</h3>
<div class="trigger">Columns: <code>campaign</code> <code>clicks</code> <code>impressions</code> <code>ctr</code> <code>conversion</code></div>
<ul>
<li>Campaign performance comparison</li>
<li>Channel ROAS analysis</li>
<li>Funnel analysis & drop-offs</li>
<li>Budget allocation efficiency</li>
</ul>
</div>
<div class="domain-card">
<div class="domain-icon">🏥</div>
<h3>Healthcare</h3>
<div class="trigger">Columns: <code>patient</code> <code>diagnosis</code> <code>treatment</code> <code>medication</code></div>
<ul>
<li>Outcome distributions</li>
<li>Treatment comparisons</li>
<li>Time-to-event analysis</li>
</ul>
</div>
<div class="domain-card">
<div class="domain-icon">📊</div>
<h3>General Tabular</h3>
<div class="trigger">Any other column patterns</div>
<ul>
<li>Correlation matrix (flag |r| > 0.7)</li>
<li>Distributions & group-by aggregations</li>
<li>Anomaly detection (IQR method)</li>
<li>Pareto analysis (80/20 rule)</li>
</ul>
</div>
</div>
</div>
</div>
</section>
<!-- ═══════════ STATUSLINE ═══════════ -->
<section style="background: var(--gray-50);">
<div class="container">
<div class="text-center">
<div class="section-label">Bundled Statusline</div>
<h2 class="section-title">Real-Time Session Monitoring</h2>
<p class="section-sub mx-auto">Track tokens, costs, active agents, scheduled jobs, and context usage — all in your terminal. 5 themes, 4 layouts.</p>
</div>
<div class="statusline-preview" style="margin: 0 auto;">
<span class="sl-dim"> Skill:</span> <span class="sl-orange">Agent</span> <span class="sl-dim">│ GitHub:</span> user/repo/main
<span class="sl-dim">Model:</span> <span class="sl-blue">Claude Opus</span> <span class="sl-dim">│ Dir:</span> projects/my-data
<span class="sl-dim">Tokens:</span> 45k in + 12k out <span class="sl-dim">│ Cost:</span> <span class="sl-green">$0.32</span> ($0.04/m)
<span class="sl-dim">Session:</span> 57k total (8 calls) <span class="sl-dim">│</span> $0.0400/call +120/-15 2m30s
<span class="sl-dim">Cache:</span> W:12k R:33k <span class="sl-dim">│</span> @main
<span class="sl-dim">Agents:</span> <span class="sl-green">●●●</span> (3) <span class="sl-dim">│ Cron:</span> <span class="sl-yellow">◆</span> (1)
<span class="sl-bar-filled">▰▰▰▰▰</span><span class="sl-bar-empty">▯▯▯</span> <span class="sl-yellow">HIGH</span> 15% remaining
<span class="sl-dim">Context:</span> <span class="sl-orange">████████████████████████████████</span><span class="sl-bar-empty">░░░░░░░░</span> 85%
</div>
<div style="display:flex;gap:1rem;justify-content:center;margin-top:1.5rem;flex-wrap:wrap;">
<span style="font-size:.85rem;color:var(--gray-500);background:var(--white);padding:.4rem 1rem;border-radius:999px;border:1px solid var(--gray-200);">default</span>
<span style="font-size:.85rem;color:var(--gray-500);background:var(--white);padding:.4rem 1rem;border-radius:999px;border:1px solid var(--gray-200);">nord</span>
<span style="font-size:.85rem;color:var(--gray-500);background:var(--white);padding:.4rem 1rem;border-radius:999px;border:1px solid var(--gray-200);">tokyo-night</span>
<span style="font-size:.85rem;color:var(--gray-500);background:var(--white);padding:.4rem 1rem;border-radius:999px;border:1px solid var(--gray-200);">catppuccin</span>
<span style="font-size:.85rem;color:var(--gray-500);background:var(--white);padding:.4rem 1rem;border-radius:999px;border:1px solid var(--gray-200);">gruvbox</span>
</div>
</div>
</section>
<!-- ═══════════ CTA ═══════════ -->
<section class="cta-section">
<div class="container" style="max-width:700px;">
<div class="section-label" style="color:rgba(255,255,255,.5);">Get Started</div>
<h2 class="section-title">Turn Raw Data Into Decisions</h2>
<p class="section-sub mx-auto">One command. Five agents. Zero config. Works on Haiku, Sonnet, and Opus.</p>
<div class="cta-code">
<span class="hl">/10x-analyst-loop:analyze</span> your-data
</div>
<br/><br/>