Use when asked to design growth-optimized landing pages, activation funnel layouts, or experiment-friendly page structures. Examples: "growth-optimized landing", "activation funnel layout", "A/B testable page"
Scanned 9/2/2026
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---
name: surge-landing
description: |
Use when asked to design growth-optimized landing pages, activation funnel
layouts, or experiment-friendly page structures. Examples: "growth-optimized
landing", "activation funnel layout", "A/B testable page"
allowed-tools: Read, Bash, Glob, Grep
version: 0.6.6
author: tonone-ai <hello@tonone.ai>
license: MIT
---
# surge-landing — Growth-Optimized Landing Page
Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.
## When to use
User needs a landing page designed for growth: activation funnels, A/B testing, acquisition, or PLG flows.
## Workflow
1. **Identify product type and growth goal** from user request (acquisition, activation, PLG, trial, freemium, etc.)
2. **Search landing page patterns:**
```bash
python3 -m surge_agent.uiux search --domain landing --query "{product_type}" --limit 3
```
3. **Search product reasoning:**
```bash
python3 -m surge_agent.uiux search --domain product --query "{product_type}" --limit 3
```
4. **Search UX for friction points:**
```bash
python3 -m surge_agent.uiux search --domain ux --query "forms validation loading" --limit 3
```
5. **Output** experiment-friendly structure with activation triggers and friction audit
## Output format
```
┌─ Growth Landing Page — {product_type} ──────────────────────────────┐
│ # │ Section │ Purpose │ Experiment? │
├────┼────────────────────┼────────────────────────────┼───────────────┤
│ 1 │ {section_name} │ {purpose} │ A/B headline │
│ 2 │ {section_name} │ {purpose} │ — │
│ 3 │ {section_name} │ {purpose} │ A/B CTA copy │
│ … │ … │ … │ … │
└────┴────────────────────┴────────────────────────────┴───────────────┘
Activation triggers: {activation_triggers}
Funnel structure: {funnel_structure}
Friction points: {friction_points}
Experiment surfaces: {experiment_surfaces}
```
## Anti-patterns
- Never optimize for vanity metrics (page views, time on page) over activation metrics
- Never add friction (sign-up gates, long forms) before demonstrating product value
- Never design sections that can't be independently A/B tested
- Never ship a growth page without identifying at least one experiment surface
## Delivery
If output exceeds the 40-line CLI budget, invoke `/atlas-report` with the full findings. The HTML report is the output. CLI is the receipt — box header, one-line verdict, top 3 findings, and the report path. Never dump analysis to CLI.

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