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kostja94/marketing-skills · updated Apr 8, 2026

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$npx skills add https://github.com/kostja94/marketing-skills --skill list
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summary

Guides list layout design for linear, stacked content display. Lists are compact, text-heavy; users scan by title or metadata. Used for blog indexes, documentation, search results, and dense content.

skill.md

Components: List Layout

Guides list layout design for linear, stacked content display. Lists are compact, text-heavy; users scan by title or metadata. Used for blog indexes, documentation, search results, and dense content.

When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.

When to Use List

Use list when Use grid when
Text-heavy; scan by title Visual content; equal emphasis
Many items; compact display Fewer items; browsing
Blog index, docs, search results Products, templates, gallery
F-pattern reading (top-left, left column) Discovery, exploration

See grid for grid layout; card for card structure.

List Structure

Element Purpose
Items Single column; stacked vertically
Per item Title, optional metadata (date, author), excerpt, link
Spacing Consistent gaps; dividers or alternating background
Density Compact (docs) vs relaxed (blog)

List Variants

Variant Use
Simple list Title + link; minimal (nav, TOC)
Rich list Title, excerpt, date, author
Table-like Columns for metadata (date, status)
With thumbnail Small image + text

Best Practices

Principle Practice
Scannable Clear titles; consistent hierarchy
Compact Less vertical space than grid
Link area Full row or title clickable
Metadata Date, author, category; secondary styling

F-Pattern

Users read top-left first, then scan left column. Place primary content (titles) left-aligned; metadata secondary.

Infinite Scroll

If using infinite scroll for list (e.g., blog index, search results): crawlers cannot access content loaded on scroll. Provide paginated component pages or use traditional pagination for SEO-critical content. See site-crawlability for search-friendly infinite scroll implementation.

Responsive

  • Mobile: Single column; full-width items
  • Touch targets: ≥44×44px for touchable rows
  • Truncation: Long titles; ellipsis or wrap by design

Related Skills

  • site-crawlability: Infinite scroll SEO; paginated component pages; search-friendly implementation
  • grid: Grid vs list; when to use each
  • carousel: Carousel for slides; when list is too long for space
  • card: Card in list (e.g., blog with thumbnail)
  • toc-generator: TOC as list; jump links
  • blog-page-generator: Blog index list
  • article-page-generator: Article list format
  • docs-page-generator: Documentation list
how to use list

How to use list on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add list
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/kostja94/marketing-skills --skill list

The skills CLI fetches list from GitHub repository kostja94/marketing-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/list

Reload or restart Cursor to activate list. Access the skill through slash commands (e.g., /list) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.557 reviews
  • Dev Jackson· Dec 28, 2024

    list reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Amina Johnson· Dec 28, 2024

    Useful defaults in list — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Pratham Ware· Dec 24, 2024

    We added list from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Ren Robinson· Dec 24, 2024

    Keeps context tight: list is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Sakura Okafor· Dec 12, 2024

    list has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Dev Desai· Nov 19, 2024

    Registry listing for list matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Soo Chen· Nov 19, 2024

    list has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Kofi Patel· Nov 15, 2024

    list is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Nia Dixit· Nov 7, 2024

    Solid pick for teams standardizing on skills: list is focused, and the summary matches what you get after install.

  • Kofi Rao· Nov 3, 2024

    Useful defaults in list — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

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