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Skill v1.0.0

currentLLM-judged scan95/100
chanktb/claude-shopify-growth/collection-content-deep
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PublishedSeptember 28, 2026 at 11:09 AM
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version: "1.0.0" name: collection-content-deep description: > Generate long-form below-grid editorial content for Shopify collection mega-hubs (1,500–2,000 words across 8 sections: Category Overview, Brand Spotlight, How to Pick, Comparison Table, Application Guide, Care & Maintenance, Pricing Info, Related Blog Reads). Brand-specific knowledge prefill (fill in references/brand-knowledge-base.md with your own brands). Output HTML body suitable for Shopify metafield custom.deep_content_html rendered by the matching collection-content theme section. Pairs with collection-analyze and collection-audit-pipeline. Use when user says "write collection content", "deep content for collection", "long-form collection page", "expand collection beyond FAQ", "collection-content-deep". user-invokable: true argument-hint: "<collection-url-or-handle> [--site <domain>] [--length 1500|2000|2500] [--sections N] [--no-images] [--blog-links N] [--brand-tone wholesale|consumer|specialty-pro]" license: MIT metadata: author: "Khue Tran" version: "0.1.0" last_modified: "2026-06-21" recent_change: "v0.1.0 — Initial release. 8-section template, brand knowledge prefill, HTML body output for metafield-driven render." category: content


Collection Content Deep: Long-Form Below-Grid Body Generator

Generates the 1,500–2,000-word editorial body that sits BELOW the FAQ accordion on a Shopify collection hub page. Solves the "thin content" problem that collection-analyze v0.2.1 left unaddressed — collections were getting a high composite score but only ~330 words of editorial content. This skill brings collection content depth on par with a well-written blog post while keeping the commercial-intent design (filter + grid still primary).

When this skill applies

Tier requirement: mega-hub or hub. Sub-tier collections (<100 products) do NOT need this depth — they get filtered by brand/season and serve as landing pages for specific intent, not authority hubs.

Tier rule check (per collection-analyze v0.2.1):

  • mega-hub (≥2000sp + OR-rule): MANDATORY apply
  • hub (1000–1999sp or generic category): RECOMMENDED apply
  • brand (100–999sp): OPTIONAL (apply for top-3 traffic brand collections only)
  • sub / tool / new: SKIP

Architecture

Content is stored in a collection metafield (custom.deep_content_html, type: multi_line_text_field or rich_text_field) and rendered by a theme section (sections/collection-content.liquid) placed AFTER the FAQ section in the template JSON.

templates/collection.<handle>.json
order: [banner, product-grid, collection-faq, collection-content]
│
└─ reads collection.metafields.custom.deep_content_html

This pattern is consistent with how custom.sub_categories and custom.faq_jsonld work for the v0.2.1 hybrid template — metafield-driven, section-rendered, no template rebuild needed when content changes.

8 Sections (default template)

Each section gets a heading + body. Total target: 1,500–2,000 words.

Section 1: Category Overview (200–300w)

What is the category, why professional buyers + DIY shoppers use it, key benefits.

Field lesson: pricing-friendly + professional-buyer-focused. Address the buyer's professional decision, not just shopping inspiration.

Required elements:

  • 1-sentence definition of the category
  • 2–3 key benefits (commercial intent)
  • Quick-stat callout (e.g. "<N> in-stock SKUs across Brand A/B/C daily")

Section 2: Brand Spotlight (300–400w)

3–5 brands compared by personality. Each brand gets ~80w covering:

  • Founding / heritage 1 sentence
  • Positioning (premium / value / specialty)
  • Unique value (formulation / variant depth / price tier)

Knowledge base: see references/brand-knowledge-base.md — a template for you to fill in with your own brand profiles (Brand A, Brand B, Brand C, etc.).

Section 3: How to Pick (200–250w)

Decision tree by buyer use-case:

  • DIY / individual buyer — what to pick + why
  • Professional buyer (low volume) — what to pick + why
  • High-volume professional / business buyer — what to pick + why
  • Sensitive-use customer (allergy or sensitivity concerns) — what to pick + why
  • Beginner — what to pick + why

Format: <dl> definition list OR 3-column grid block.

Section 4: Comparison Table (150–200w + HTML table)

5–6 brands × 4–5 dimensions (performance metric, durability, variant range, price tier, sensitive-use / allergen-free status).

Table format: semantic <table> with proper <thead> / <tbody> / <th> scope. Styling inherits from theme.

Section 5: Application Guide (200–300w)

Step-by-step for the category's primary use-case (setup for a variant-rich product line, assembly for a kit, first-use steps for a technical product, etc.).

Format: ordered list <ol> with each step containing:

  • Step name (bold)
  • 1–2 sentences explanation
  • Optional pro-tip callout

Section 6: Care & Maintenance (150–200w)

How to extend product life / reset or refresh properly / store correctly. Reinforces post-purchase value, drives re-purchase signal to Shopify analytics.

Topics:

  • Longevity tips (usage habits, protective steps, etc.)
  • Maintenance best practice (cleaning/reset method per category)
  • Storage (temperature, light, shelf-life)

Section 7: Pricing Info (100–150w)

Your store's pricing model (retail, wholesale, and/or B2B) + volume discount tiers + free shipping threshold. Closes the commercial-intent loop.

Store-specific facts (fill in with your own policy):

  • Pricing model eligibility (open to everyone, or account-gated wholesale/B2B tier)
  • Free shipping threshold
  • Bulk / volume discount tiers
  • Dispatch time commitment (e.g. same-day cutoff)

Section 8: Related Blog Reads (50–100w + 3–5 link blocks)

Cross-link 3–5 of your own blog posts relevant to the hub. Increases internal PageRank flow to blog + improves content authority signal.

Format: <ul> with each link wrapped in <li> containing:

  • Article title (link)
  • 1-sentence teaser

Source: your blog article output directory (e.g. output/<site>/). Map by topic relevance.

Scoring Process

Step 1: Determine collection scope

Pull collection via Shopify connector:

  • handle, title, productsCount
  • existing descriptionHtml (tagline) — DO NOT overwrite, body content goes

in metafield separate from tagline

  • existing metafield custom.sub_categories (sub-collection list informs

comparison content)

  • existing metafield custom.faq_jsonld (FAQ themes already covered —

don't duplicate in body)

Step 2: Identify brands present in hub

Scan first 50–100 products for vendor / brand tag distribution. Pick top 3–5 brands by product count → these are the brands featured in Section 2 + 4.

Step 3: Generate per-section content

For each of the 8 sections, generate text using:

  • Brand knowledge base (references/brand-knowledge-base.md)
  • Store-specific facts (pricing policy, shipping threshold, dispatch

commitment, etc. — see Section 7)

  • Category-specific knowledge (e.g. the distinctions between product

lines/variants/formats within your category, per the category-tier taxonomy)

Step 4: Em-dash + AI-trigger compliance & Readability Constraints (Paragraph Limits)

Rule: keep em-dash usage very low, ≤0.3 em-dash per 100 words across ALL copy. Use colons / periods instead.

Readability & Paragraph Rules (CRITICAL for mobile UX):

  • Max Paragraph Length: Every paragraph <p> MUST be short (2-4 sentences max, or ≤80 words).
  • Section Subdivision: Split each of the 8 sections (200-300 words) into 3-4 smaller paragraphs or block elements. Do NOT output a single wall-of-text paragraph.
  • Scannable Layout: Use bullet lists (<ul>/<li>), comparison tables, or bold lead-ins for key points to break up dense descriptions.

Self-check before push:

  • Count em-dashes in generated body (ratio ≤0.3/100w)
  • Ensure NO paragraph exceeds 4 sentences or 80 words.
  • No AI trigger phrases: "delve into", "in conclusion", "navigate the

landscape", "in today's fast-paced", "it's important to note", "let's explore"

Step 5: HTML structure

Wrap each section in:

html
<section class="collection-content__section">
<h2 class="collection-content__heading">{Section Title}</h2>
<div class="collection-content__body">
<!-- section content -->
</div>
</section>

Theme section CSS handles styling.

Step 6: Push to metafield

graphql
mutation {
metafieldsSet(metafields: [{
ownerId: "gid://shopify/Collection/<id>",
namespace: "custom",
key: "deep_content_html",
type: "multi_line_text_field",
value: "<HTML body>"
}]) { ... }
}

Step 7: Verify in preview

  • WebFetch the collection URL
  • Check that content renders BELOW FAQ
  • Validate semantic HTML (h2 hierarchy, table accessibility, no inline

styles except for table layout)

Compose with other skills

  • Before: collection-analyze (identify which hubs need depth)
  • After: collection-analyze --re-audit (verify Cat 1.2 + Cat 4 lift)
  • Sibling: collection-refresh (Phase 2 — re-runs this skill for

existing hubs with new brand data)

  • Reads from: brand-knowledge-base.md (per-brand profiles)
  • Writes to: metafield custom.deep_content_html per collection +

optional theme template tweak (one-time)

Expected lift

Per collection-analyze v0.2.1 rubric:

CategoryBeforeAfterΔ
1.2 Below-grid copy4/4 (FAQ only)4/4 + bonus authority0 (capped)
2.9 Internal links3/33/3 (5 new blog links)0 (capped)
4.4 Schema bonus (HowTo)—+1+1
GEO/AI passage citability9/1010/10+1
Long-tail SEO surfacelowhighsignificant

The composite score won't change much (already high and capped). The long-tail keyword footprint and AI citation eligibility improve dramatically — that's the real value of deep content.

What this skill does NOT do

  • Does NOT rewrite the tagline (that's collection.descriptionHtml — stays

20–40w per Cat 1.1)

  • Does NOT generate FAQ (that's custom.faq_jsonld — separate metafield)
  • Does NOT modify product data
  • Does NOT generate images (use blog-image skill for that — composable)
  • Does NOT pull GSC data (use Phase 4 GSC integration in collection-analyze)

Output convention

Per collection artifact:

output/[site]/[handle]/
└── deep-content.md ← markdown source (auditable)
└── deep-content.html ← HTML body pushed to metafield

The markdown source is the canonical version; the HTML is generated from it. To update, edit the markdown + re-push the HTML.

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