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SKILL verified MIT Self-run

Plan Page

skill-aetheria-labs1-storefront-skills-plan-page · by Aetheria-Labs1

Plan a storefront page before generation. Use to gather requirements and create an approved section, animation, and visual-rhythm blueprint.

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Install

$ agentstack add skill-aetheria-labs1-storefront-skills-plan-page

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

✓ Security review passed
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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

Plan Storefront Page

Plan a storefront page before generation — gathers requirements, designs section layout, animations, and visual rhythm.

Context

  • storefront-craft: Load this skill first on any storefront page generation task.
  • conversion-psychology: Read before planning any ecommerce page.

Workflow

Page Planning Workflow

> This produces a structured page blueprint. Run it standalone, or use it as Phase -1 before $generate.

Step 1 — Assess What's Known

Score the user's input:

| Signal | Check | |--------|-------| | Page type (landing, PDP, homepage, collection, editorial, listicle, bundle) | stated? | | Target audience / persona | described? | | Products or collection to feature | named? | | Traffic source (Meta, Google, TikTok, email, organic) | mentioned? | | Conversion goal (purchase, signup, browse) | clear? | | Reference URL or ad creative | provided? | | Tone/style preference | specified? |

  • 4+ signals present → proceed to Step 3 (auto-plan)
  • < 4 signals → proceed to Step 2 (ask questions)

Step 2 — Adaptive Discovery

Ask ONLY questions whose answers are missing. Never ask more than 4 at once.

Tier 1 (always ask if missing):

  1. "What type of page?" (landing / PDP / homepage / collection / editorial)
  2. "Who is this for?" (audience: demographics + pain point)
  3. "What should visitors do?" (single conversion goal)

Tier 2 (ask if Tier 1 reveals complexity):

  1. "Where does traffic come from?" (impacts visual density + social proof weight)
  2. "Any sections you specifically want?" (hero style, FAQ, comparison table, etc.)
  3. "Should this feel bold/energetic or minimal/premium?" (visual approach)
  4. "Any animations or scroll effects?" (parallax, reveal-on-scroll, sticky elements)

Follow-up triggers:

  • Multiple products mentioned → "Which is the hero product? Are others cross-sells or equals?"
  • Health/beauty vertical → "Do you have clinical data or certifications to feature?"
  • Ad creative provided → "Should the page match the ad's exact style, or just the message?"

Step 3 — Generate Page Plan

Use MCP tools to gather brand context:

get_brand_kit        → colors, fonts, voice, spacing
get_design_md        → brand philosophy + don'ts
list_products        → available product data
get_navigation       → navbar/footer links

Then produce a structured plan covering:

A. Section Sequence (ordered list) For each section:

  • Section ID + type (e.g. hero-split, social-proof-bar, features-grid)
  • Purpose (what it communicates / why it's here in this position)
  • Key content (headline direction, imagery type, specific products)
  • Island requirement (if interactive: BuyBox, FAQ, ReviewCarousel, etc.)
  • Animation (fade-up, parallax, sticky, reveal, none)

B. Visual Rhythm

  • Spacing pattern (tight-loose-tight, progressive relaxation, etc.)
  • Color temperature flow (hero warm → middle neutral → CTA warm)
  • Typography hierarchy (display → heading → body sizes)

C. Inter-Section Communication

  • Narrative thread (how sections connect logically)
  • CTA placement strategy (where and how many)
  • Social proof distribution (where trust signals appear and why)
  • Scroll incentives (what makes user keep scrolling)

D. Technical Requirements

  • Islands needed (exact list)
  • Custom animations (scroll-triggered reveals, parallax, sticky)
  • Asset requirements (hero image, lifestyle shots, textures, icons)

Step 4 — Present Plan for Approval

Show the plan to the user in this format:

📋 Page Plan: [Page Type] for [Audience]

Goal: [Conversion goal]
Sections: [N] | Islands: [list] | Style: [visual approach]

Section Layout:
1. [hero-split] — Hook headline + product image + primary CTA
   Animation: fade-up on load
2. [trust-bar] — Star rating + press logos + "X customers served"
   Animation: none (instant credibility)
3. [problem-solution] — Pain → product as answer (emotional)
   Animation: reveal on scroll
...

Visual Flow: [spacing + color temperature description]
CTA Strategy: [where + how many]

Proceed with this plan? (Or tell me what to change)

Wait for user confirmation. If user suggests changes, update plan and re-present.

Step 5 — Next Steps

Once approved, the user can:

  • Run $generate — carry the plan forward as the binding blueprint
  • Or hand off the plan to any generation flow

The plan becomes BINDING for generation:

  • Phase 0 context gathering targets the plan's requirements
  • Phase 1 asset generation follows the plan's imagery needs
  • Phase 2 HTML generation follows the plan's section sequence EXACTLY
  • Section purposes from the plan guide the copywriting
  • Animation choices from the plan guide the JS/CSS

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.