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directory-listing-ads▌

kostja94/marketing-skills · updated Apr 8, 2026

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$npx skills add https://github.com/kostja94/marketing-skills --skill directory-listing-ads
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summary

Guides paid promotions within directories and marketplaces: Taaft, Shopify App Store, G2, Capterra. Use when you have a listing and want to boost visibility with paid placements. Listing first: Ensure product is submitted—see directory-submission for listing prep and submission workflow.

skill.md

Paid Ads: Directory / Marketplace Listing Ads

Guides paid promotions within directories and marketplaces: Taaft, Shopify App Store, G2, Capterra. Use when you have a listing and want to boost visibility with paid placements. Listing first: Ensure product is submitted—see directory-submission for listing prep and submission workflow.

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.

Platform Overview

Platform Ad type Model Best for
Taaft Banners, sponsored listings, campaigns Paid placements; listing + newsletter + ads + social bundles AI tools; 80M+ users; 46K+ tools
Shopify App Store Search ads, homepage ads, category ads CPC; daily budget Shopify app developers; merchant discovery
G2 Paid Promotions, G2 Clicks Quarterly or PPC B2B SaaS; category/competitor pages
Capterra Sponsored listings PPC B2B software; 50M+ annual visitors

Taaft (There's An AI For That)

  • Traffic: 80M+ users; 46K+ AI tools; 11K+ categories
  • Ad options: Banner ads; sponsored listings at top of pages; marketing campaigns (listing + newsletter + ads + social)
  • Listing first: Submit via taaft.com/submit or theresanaiforthat.com; 700–10K+ visitors per listing
  • Early launch bonus: Up to $300 PPC credits for launching on Taaft first
  • UTM: Use utm_source=taaft_feat&utm_medium=referral for PPC ads

Shopify App Store

  • Ad types: Search ads (in results when merchants search); homepage ads; category page ads
  • Model: Cost-per-click; set daily budget; Shopify auto-generates ad appearance
  • Placement: ~60% of installs from search—search ads critical for discovery
  • Credit: New eligible app developers receive $100 USD ad credit
  • Management: Partner Dashboard—edit budget, device/geo targeting, keywords; monitor CTR, install rate, cost per install
  • Limitation: App, placement, plan-based targeting cannot change after creation; stop and create new campaign to change

G2

  • Paid Promotions: Quarterly campaigns; ads appear between 2nd and 3rd organic listing on category/competitor pages
  • Inventory: 3 products per page; ~1/3 of visitors see ads
  • G2 Clicks: PPC option; organic + sponsored placements; no subscription
  • Design: Standardized ad design converts ~50% better than custom

Capterra

  • Model: PPC; reach software buyers actively comparing solutions
  • Audience: 50M+ annual visitors
  • Options: Free basic listing; paid advertising for increased visibility

Strategy

  1. Listing first: Submit to directory before buying ads—see directory-submission
  2. Test organic: Measure baseline traffic before paid
  3. Layer paid: Add ads when organic underperforms or for launch push
  4. UTM: Tag all ad links (utm_medium=paid, utm_source=taaft or shopify or g2 or capterra)

Pre-Launch Checklist

  • Product listed in directory (directory-submission)
  • Listing optimized (copy, screenshots, category)
  • Budget aligned with CPC/CPM expectations
  • UTM parameters set for attribution
  • Conversion tracking (GA4, platform analytics)

Related Skills

  • directory-submission: Listing prep; submission workflow; platform-specific copy
  • paid-ads-strategy: Ad formats by medium; when to use directory ads
  • traffic-analysis: UTM for directory ads; attribution
  • analytics-tracking: Conversion tracking
how to use directory-listing-ads

How to use directory-listing-ads 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 directory-listing-ads
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 directory-listing-ads

The skills CLI fetches directory-listing-ads 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/directory-listing-ads

Reload or restart Cursor to activate directory-listing-ads. Access the skill through slash commands (e.g., /directory-listing-ads) 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.

Additional Resources

›View source code on GitHub›Skills CLI documentation›Learn more about Cursor›What are agent skills?

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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)
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general reviews

Ratings

4.6★★★★★74 reviews
  • ★★★★★Tariq Farah· Dec 28, 2024

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

  • ★★★★★Tariq Abebe· Dec 24, 2024

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

  • ★★★★★Ganesh Mohane· Dec 20, 2024

    directory-listing-ads reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • ★★★★★Yusuf Kim· Dec 16, 2024

    directory-listing-ads fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • ★★★★★Amina Mensah· Dec 12, 2024

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

  • ★★★★★Mei Shah· Dec 8, 2024

    I recommend directory-listing-ads for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • ★★★★★Hassan Singh· Dec 8, 2024

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

  • ★★★★★Kiara Okafor· Dec 4, 2024

    directory-listing-ads reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • ★★★★★Michael Thomas· Nov 27, 2024

    directory-listing-ads reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • ★★★★★Hassan Srinivasan· Nov 23, 2024

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

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