Agent skill

Product Showcase Page

by Affitor in Affitor/affiliate-skills

Build a single-product deep-dive showcase page as a self-contained HTML file.

MITAuto-check passedFrontend & Design

Install Product Showcase Page

skills CLI
$ npx skills add Affitor/affiliate-skills --skill product-showcase-page -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Affitor/affiliate-skills product-showcase-page --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Affitor/affiliate-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/landing/product-showcase-page .claude/skills/product-showcase-page && rm -rf skills-src

Use ~/.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/

Facts

Skill name
product-showcase-page
GitHub stars
701
Token cost
~3.6k tokens
SKILL.md length
1,396 words
Files
3 (incl. references)
Skills in repo
50
Repo updated
First seen
Licence
MIT

At a glance

Build a single-product deep-dive showcase page as a self-contained HTML file.

  • Works in 5 steps: Gather Product Data → Plan the Page Architecture → Write the Full HTML → …
  • : build a product showcase page
  • SKILL.md covers When to Use, Workflow, Input Schema and Output Schema, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Product Showcase Page is an agent skill from Affitor/affiliate-skills. Build a single-product deep-dive showcase page as a self-contained HTML file. Triggers on: "build a product showcase page", "deep dive landing page for [product]", "create a product spotlight page", "product feature page", "single product page", "detailed page about [product]", "build a page showing everything about [product]", "create a long-form product page", "build a sales page for [product]", "product deep dive page", "make a feature breakdown page for [product]".

Its SKILL.md is about 3.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/conversion-principles.md`). Compatibility notes: Claude Code, ChatGPT, Gemini CLI, Cursor, Windsurf, OpenClaw, any AI agent

It sits in Frontend & Design, covering Landing pages. The repository describes itself as: 50 AI agent skills for affiliate marketing. Research trending content, write data-backed posts, generate infographics, build landing pages, deploy — full flywheel with social… The licence is MIT.

When your agent uses it

  • : build a product showcase page
  • Deep dive landing page for [product]
  • Create a product spotlight page
  • Product feature page

Example prompts

  • “build a product showcase page”
  • “deep dive landing page for [product]”
  • “create a product spotlight page”
  • “/product-showcase-page”

Requirements

  • Compatibility (from SKILL.md): Claude Code, ChatGPT, Gemini CLI, Cursor, Windsurf, OpenClaw, any AI agent

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Gather Product Data
  2. Plan the Page Architecture
  3. Write the Full HTML
  4. Format Output
  5. Self-Validation

What it can do on your machine

Read from SKILL.md and the folder at commit e43bfae. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are yaml and html).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Claude Code, ChatGPT, Gemini CLI, Cursor, Windsurf, OpenClaw, any AI agent

    From compatibility in the SKILL.md frontmatter.

Context cost

Product Showcase Page loads about 3.6k tokens when it runs, and up to ~4.9k if it reads all its reference files. Until then it costs about 124 tokens; SKILL.md has 1,396 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~124
When it runs · the whole SKILL.md, loaded when a task matches
~3.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.9k

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from Affitor/affiliate-skills at commit e43bfae, republished under its MIT licence (© Affitor). 1,396 words, ~3,575 tokens.

Download SKILL.mdSave it as .claude/skills/product-showcase-page/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
product-showcase-page
description
Build a single-product deep-dive showcase page as a self-contained HTML file. Triggers on: "build a product showcase page", "deep dive landing page for [product]", "create a product spotlight page", "product feature page", "single product page", "detailed page about [product]", "build a page showing everything about [product]", "create a long-form product page", "build a sales page for [product]", "product deep dive page", "make a feature breakdown page for [product]".
compatibility
Claude Code, ChatGPT, Gemini CLI, Cursor, Windsurf, OpenClaw, any AI agent
license
MIT
version
1.0.0
tags
affiliate-marketing, landing-pages, conversion, offers, showcase, product-page
metadata.author
affitor
metadata.version
1.0
metadata.stage
S4-Landing

Product Showcase Page

Build a long-form, single-product showcase page as a self-contained HTML file. Goes deeper than a standard landing page — includes a full hero section, feature breakdown with icons, use case demonstrations, testimonials, a pricing comparison table, FAQ with accordions, and multiple high-intent affiliate CTAs. Designed for pre-sold traffic (readers who came from a review or comparison) and wants to make the final conversion push.

When to Use

  • User wants a dedicated page for one product that covers everything a buyer needs to know
  • User says "showcase page", "product spotlight", "deep-dive page", "feature breakdown page"
  • User wants a page longer than a standard landing page — for high-ticket products needing more persuasion
  • User is sending warm traffic (from a blog post or email) and wants to close the sale
  • User wants a page that can double as a product review in page form

Workflow

Step 1: Gather Product Data

If product data is available from S1 or prior conversation, use it directly.

Otherwise, use web_search to research the product:

  1. Features: "[product name] features" — gather 6-12 distinct capabilities
  2. Pricing: "[product name] pricing" — all tiers with feature differences
  3. Use cases: "[product name] use cases" OR "[product name] examples" — concrete applications
  4. Testimonials: "[product name] reviews" on G2/Capterra — find real sentiment (do not copy verbatim — paraphrase or create realistic representative examples)
  5. Competitors: "[product name] vs" — 2-3 competitors for the pricing comparison
  6. FAQ: "[product name] questions" OR check product's own FAQ page

Organize the research into these buckets:

  • Core features (6-12, each with a one-sentence benefit statement)
  • Use cases (3-5, each framed as a specific problem solved)
  • Pricing tiers (2-4 tiers with included features and price)
  • Comparison data (the 5-8 dimensions where this product wins vs. competitors)
  • Social proof (ratings, user counts, company names using it)
  • FAQ answers (6-10 questions)
Step 2: Plan the Page Architecture

Read references/conversion-principles.md for long-form page principles.

A product showcase page is longer than a standard landing page — it must justify the length with value at every section. Plan each section:

  1. FTC Disclosure — small, above hero
  2. Hero — headline + sub-headline + primary CTA + hero visual + trust bar
  3. Problem Statement — 2-3 sentences establishing the pain the product solves
  4. Product Overview — 3-sentence description + key stats
  5. Features Grid — 6-12 features with icons (pure CSS) + headline + description
  6. Use Cases — 3-5 real scenarios (who uses it, how, outcome)
  7. Social Proof Bar — logos, ratings, subscriber counts
  8. Pricing Comparison — table comparing this product's tiers against 2 competitors
  9. Testimonials — 2-3 cards with quote, name, role
  10. FAQ Accordion — 6-10 questions with JS-powered expand/collapse
  11. Final CTA Section — strong headline + benefits recap + primary CTA button
  12. Footer — FTC disclosure full text, Affitor attribution

CTA placement rules:

  • Hero: primary CTA (always visible)
  • After Features Grid: secondary CTA
  • After Pricing Table: high-intent CTA (primed by seeing pricing)
  • After Testimonials: social-proof-backed CTA
  • Final CTA section: closing CTA
  • Total: 4-5 CTAs per page

Angle selection — choose based on what the research shows:

AngleHeadline formula
Best in category"The [Category] Tool That Actually Works"
Price/value"Get [Competitor]-Level Results for Half the Price"
Speed"From Zero to [Outcome] in [Timeframe]"
Simplicity"The [Category] Tool That Doesn't Require a Manual"
Results-focused"[Specific Outcome]: How [Product] Delivers Where Others Don't"
Step 3: Write the Full HTML

Build a complete self-contained HTML file. This page is longer than standard (~150-200 lines of HTML) and should feel like a high-quality product page.

Design specifications:

  • All CSS inline in a <style> block — no external stylesheets
  • System font stack — no Google Fonts
  • Mobile-first responsive (375px base, 768px, 1024px breakpoints)
  • Feature icons: pure CSS geometric shapes or Unicode symbols — no icon libraries
  • FAQ accordion: minimal JavaScript for expand/collapse, gracefully degrades without JS
  • Color scheme from input or default blue (#2563eb) with appropriate complementary tones
  • Section alternating backgrounds for visual rhythm (white / light gray / white)

Copy requirements per section:

Hero Headline (6-12 words, outcome-focused):

  • Avoid: "Welcome to [Product]", "[Product] is the best...", generic superlatives
  • Use: specific outcomes, target audience callouts, contrarian angles

Feature headlines (each feature gets a benefit headline, not a feature name):

  • Not: "Advanced Reporting Dashboard"
  • Yes: "See Exactly What's Working at a Glance"

Use case structure (one per scenario):

html
<!-- The problem → The solution → The result pattern -->
"[Job title] needed to [task]. With [Product]'s [feature], they [outcome] in [timeframe]."

Pricing table (comparison layout):

  • Column 1: this product (highlighted as "Recommended")
  • Column 2: Competitor A
  • Column 3: Competitor B
  • Rows: 8-10 comparison features
  • Include: "Free trial" row and "Cancel anytime" signal

Testimonials (2-3 cards): Write realistic representative testimonials if real ones unavailable. Each must have:

  • A specific, measurable result ("Saved 6 hours a week", "ROI of 340%")
  • Name + job title + company type
  • Do NOT use made-up full names and companies — use "[First name], [Job title] at a [company type]" format

FAQ items (6-10): Cover the real objections:

  • Pricing and cancellation questions
  • Technical requirements
  • Data security / privacy
  • How it compares to [main competitor]
  • Onboarding time
  • Customer support availability

Required elements:

  • FTC disclosure (small, above hero)
  • All affiliate links with target="_blank" rel="noopener"
  • <meta name="viewport"> and basic SEO meta tags
  • <meta name="robots" content="noindex"> (product pages are not for organic search)
  • "Built with Affiliate Skills by Affitor" footer from shared/references/affitor-branding.md
Show full SKILL.md (557 more words)Show less
Step 4: Format Output

Part 1: Page Summary

---
PRODUCT SHOWCASE PAGE
---
Product: [name]
Angle: [marketing angle used]
Headline: [hero headline]
Sections: [list all sections in order]
CTAs: [count and placement]
Color: [color scheme]
Features covered: [N]
FAQ items: [N]
---

Part 2: Complete HTML Full file in a fenced code block. Save as [product-slug]-showcase.html.

Part 3: Deploy Instructions

---
DEPLOY
---
1. Save as `[product-slug]-showcase.html`
2. Preview: open in any browser — no server needed
3. Customize: swap testimonial details, add real screenshots, update pricing
4. Deploy: Netlify Drop / Vercel / GitHub Pages
5. Track: Add UTM parameters to your traffic sources targeting this page
   e.g., ?utm_source=email&utm_medium=newsletter&utm_campaign=[product]
---

Input Schema

yaml
product:                    # REQUIRED
  name: string
  description: string
  reward_value: string
  url: string               # Affiliate link
  reward_type: string
  cookie_days: number
  tags: string[]

angle: string               # OPTIONAL — marketing angle
                            # "best-in-class" | "price-value" | "speed" | "simplicity" | "results"
                            # Default: auto-detected from product strengths

compare_with: object[]      # OPTIONAL — competitors for pricing comparison table
  - name: string
    pricing: string         # Starting price
    url: string             # Non-affiliate URL

color_scheme: string        # OPTIONAL — "blue" | "green" | "purple" | "orange" | "dark" | hex
                            # Default: "blue"

target_audience: string     # OPTIONAL — specific audience to call out in hero
                            # e.g., "e-commerce store owners", "freelance designers"

social_proof: object        # OPTIONAL — headline social proof signal
  type: string              # "rating" | "user_count" | "company_logos" | "award"
  value: string             # e.g., "4.8/5 on G2", "50,000+ users", "Used by Fortune 500s"

testimonials: object[]      # OPTIONAL — real testimonials to include
  - quote: string
    name: string
    role: string
    result: string          # The specific result they achieved
Step 5: Self-Validation

Before presenting output, verify:

  • FTC disclosure present (small format, above hero)
  • <meta name="robots" content="noindex"> present
  • ≥4 CTAs at: hero, after features, after pricing, after testimonials, final section
  • All affiliate links have target="_blank" rel="noopener"
  • Self-contained HTML: icons are CSS/Unicode only, no external resources
  • "Built with Affiliate Skills by Affitor" footer present

If any check fails, fix the output before delivering. Do not flag the checklist to the user — just ensure the output passes.

Output Schema

yaml
output_schema_version: "1.0.0"  # Semver — bump major on breaking changes
showcase_page:
  product_name: string
  angle: string
  headline: string
  color_scheme: string
  html: string
  filename: string          # e.g., "heygen-showcase.html"
  section_count: number
  cta_count: number
  faq_count: number

products_featured:
  - name: string
    url: string
    role: string            # "primary" | "compared"
    cta_count: number

deploy:
  local: string
  netlify: string
  vercel: string

Output Format

Present as three sections:

  1. Page Summary — product, angle, structure overview, CTA placements
  2. HTML — complete file in a code block
  3. Deploy Instructions — preview, customize, deploy steps

The page should be immediately useful as a high-converting standalone URL.

Error Handling

  • No product provided: "I need a product to build this showcase for. Run /affiliate-program-search first, or tell me the product name and I'll research it."
  • No competitor data for pricing table: Use web_search to find 1-2 competitors. If still unavailable: replace comparison table with single-product pricing tiers table.
  • High-ticket product (>$500/mo): Emphasize ROI framing over price framing. Add "Request a Demo" or "Book a Call" CTA alongside the direct sign-up CTA.
  • Product has free plan: Feature the free plan prominently — it's the main objection handler. Make "Start free, upgrade when ready" a core CTA pattern.
  • Product is B2B enterprise (no public pricing): Replace pricing table with feature comparison. Use "Get a quote" or "Contact sales" CTA. Note in output.

Examples

Example 1: Standard SaaS showcase User: "Build a product showcase page for HeyGen" Action: web_search HeyGen features/pricing/reviews, angle=results-focused ("Create Studio-Quality Videos in Minutes"), blue theme, write full showcase with 12 features, 4 use cases, 3 tiers, 3 testimonials, 8-item FAQ.

Example 2: With custom angle User: "Showcase page for Semrush with a price-value angle vs Ahrefs" Action: product=Semrush, angle=price-value, compare_with=[Ahrefs, Moz], build pricing comparison table with Semrush as the highlighted winner column.

Example 3: Dark theme for tech audience User: "Product showcase for GitHub Copilot, dark theme, developer audience" Action: product=GitHub Copilot, color_scheme=dark, target_audience="software developers", feature copy written in technical voice, code snippet examples in use cases section.

Example 4: Chained from S1 User: "Create a deep-dive showcase page for this product" Context: S1 returned Klaviyo as recommended_program Action: Auto-pick up Klaviyo from S1 output, research features, build full showcase page.

References

  • references/conversion-principles.md — Long-form page structure, CTA placement density, trust signal placement. Read in Step 2.
  • shared/references/ftc-compliance.md — Disclosure text for hero and footer. Read in Step 3.
  • shared/references/affitor-branding.md — Footer attribution HTML. Read in Step 3.
  • shared/references/affiliate-glossary.md — Terminology reference.
  • shared/references/flywheel-connections.md — master flywheel connection map

Flywheel Connections

Feeds Into
  • bio-link-deployer (S5) — showcase page URL for link hub
  • email-drip-sequence (S5) — showcase page as email destination
  • github-pages-deployer (S5) — HTML file to deploy
Fed By
  • affiliate-program-search (S1) — recommended_program product data
  • grand-slam-offer (S4) — offer framing for the showcase
  • bonus-stack-builder (S4) — bonuses to feature on the page
Feedback Loop
  • conversion-tracker (S6) measures showcase conversion rate → optimize page elements

Quality Gate

Before delivering output, verify:

  1. Would I share this on MY personal social?
  2. Contains specific, surprising detail? (not generic)
  3. Respects reader's intelligence?
  4. Remarkable enough to share? (Purple Cow test)
  5. Irresistible offer framing? (if S4 offer skills ran)

Any NO → rewrite before delivering.

yaml
chain_metadata:
  skill_slug: "product-showcase-page"
  stage: "landing"
  timestamp: string
  suggested_next:
    - "bio-link-deployer"
    - "github-pages-deployer"
    - "conversion-tracker"

© Affitor, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in skills/landing/product-showcase-page of Affitor/affiliate-skills.

  • SKILL.md
  • LICENSE.txt
  • references/conversion-principles.md

Open the folder on GitHubat commit e43bfae

Compare with similar skills

Product Showcase Page 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.

Product Showcase Page compared with similar skills
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Product Showcase Page this skillAffitor/affiliate-skills701—~3.6kAutomated safety check: PassMIT
Impeccablebestofjs/bestofjs3.1k26 repos~2.6kAutomated safety check: PassMIT
Scroll World Landing Pageoso95/scroll-world9.9k1 repos~12kAutomated safety check: NotesMIT
Expert Panelericosiu/ai-marketing-skills3.6k2 repos~2.1kAutomated safety check: PassMIT
UI UX Pro Maxsaoudi-h/solar-icons19018 repos~11kAutomated safety check: NotesCustom licence
Frontend Designanthropics/skills180k37 repos~2.3kAutomated safety check: PassApache-2.0

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Questions about Product Showcase Page

What does Product Showcase Page do?

Build a single-product deep-dive showcase page as a self-contained HTML file. Product Showcase Page is an agent skill from Affitor/affiliate-skills. Build a single-product deep-dive showcase page as a self-contained HTML file.

When should I use Product Showcase Page?

Product Showcase Page fits situations like: : build a product showcase page; deep dive landing page for [product]; create a product spotlight page; product feature page.

How do I install Product Showcase Page in Claude Code?

Run `npx skills add Affitor/affiliate-skills --skill product-showcase-page -a claude-code`. Or copy the skill folder (skills/landing/product-showcase-page in Affitor/affiliate-skills) into .claude/skills/product-showcase-page in your project. Claude Code loads it when a task matches its description.

How do I install Product Showcase Page in Codex?

Run `npx skills add Affitor/affiliate-skills --skill product-showcase-page -a codex`. Or copy the skill folder (skills/landing/product-showcase-page in Affitor/affiliate-skills) into .agents/skills/product-showcase-page in your project. Codex loads it when a task matches its description.

Can I use Product Showcase Page in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Affitor/affiliate-skills --skill product-showcase-page -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/product-showcase-page, .gemini/skills/product-showcase-page, .github/skills/product-showcase-page and .opencode/skills/product-showcase-page in your project.

What does Product Showcase Page need to run?

SKILL.md names no scripts, command-line tools or credentials: Product Showcase Page is instructions for the agent only. Compatibility (from SKILL.md): Claude Code, ChatGPT, Gemini CLI, Cursor, Windsurf, OpenClaw, any AI agent.

Does Product Showcase Page access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Product Showcase Page safe to install?

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.

What licence does Product Showcase Page use?

Product Showcase Page is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Product Showcase Page use?

About 3.6k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.3k tokens, read only when the agent opens those files.

What are the alternatives to Product Showcase Page?

Skills that share tags, products or a category with Product Showcase Page: Impeccable (bestofjs/bestofjs, 3.1k stars), Scroll World Landing Page (oso95/scroll-world, 9.9k stars), Expert Panel (ericosiu/ai-marketing-skills, 3.6k stars) and UI UX Pro Max (saoudi-h/solar-icons, 190 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Product Showcase Page?

Affitor (a GitHub organization) maintains it in Affitor/affiliate-skills, which has 701 GitHub stars. The repository holds 50 skills in this directory. The repository was last updated on September 15, 2026.

Source: Affitor/affiliate-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.