youtube-ads

kostja94/marketing-skills · updated Apr 8, 2026

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

Guides YouTube advertising: TrueView, Bumper, and Discovery (in-feed) formats. Use this skill when planning or optimizing YouTube ad campaigns. For Google Search/Display/PMax, see google-ads. For organic YouTube optimization, see youtube-seo.

skill.md

Paid Ads: YouTube Ads

Guides YouTube advertising: TrueView, Bumper, and Discovery (in-feed) formats. Use this skill when planning or optimizing YouTube ad campaigns. For Google Search/Display/PMax, see google-ads. For organic YouTube optimization, see youtube-seo.

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.

Initial Assessment

Check for project context first: If .claude/project-context.md or .cursor/project-context.md exists, read Sections 3 (Value Proposition), 4 (Audience).

Identify:

  1. Goal: Awareness, consideration, conversion
  2. Budget: Bumper cheaper; TrueView for scale
  3. Creative: Existing video or net-new

Ad Formats

Format Length Skippable Best For
TrueView Skippable 12 sec+ After 5 sec Reach; large audiences
TrueView Non-skippable 15–20 sec No Full message; guaranteed view
TrueView for Action Conversions; CTA-focused
Bumper 6 sec or less No Brand awareness; memorable; lower cost
Discovery (In-Feed) Thumbnail + text Search, related videos, homepage; interest targeting

Format Selection

Goal Format
Brand awareness Bumper
Website traffic TrueView
Conversions TrueView for Action
Interested audiences Discovery

Creative Guidelines

  • Bumper: Quick, memorable; brand message in 6 sec
  • TrueView: Hook in first 5 sec (skippable); deliver value before skip
  • Discovery: Thumbnail + headline; appears like organic video

Output Format

  • Format recommendation
  • Creative specs (length, hook, CTA)
  • Targeting notes
  • Pre-launch checklist

Related Skills

  • google-ads: Google Ads platform; YouTube runs through Google Ads
  • youtube-seo: Organic YouTube; video optimization
  • video-marketing: Video script, hook structure
  • paid-ads-strategy: When to use video ads; channel selection
how to use youtube-ads

How to use youtube-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 youtube-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 youtube-ads

The skills CLI fetches youtube-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/youtube-ads

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

List & Monetize Your Skill

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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)
  • No comments yet — start the thread.
general reviews

Ratings

4.632 reviews
  • Shikha Mishra· Dec 20, 2024

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

  • Dev Chawla· Dec 20, 2024

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

  • Hassan Reddy· Dec 16, 2024

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

  • Neel Khanna· Dec 4, 2024

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

  • Rahul Santra· Nov 11, 2024

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

  • Amina Ramirez· Nov 11, 2024

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

  • Hassan Harris· Nov 7, 2024

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

  • Dev Malhotra· Nov 3, 2024

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

  • Yusuf Bhatia· Oct 26, 2024

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

  • Dev Farah· Oct 22, 2024

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

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