The #1 landing page issue in ad campaigns: does the page match the ad?
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AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionads-landingExecute the skills CLI command in your project's root directory to begin installation:
Fetches ads-landing from agricidaniel/claude-ads and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate ads-landing. Access via /ads-landing in your agent's command palette.
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.
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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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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ads/references/benchmarks.md for conversion rate benchmarksads/references/conversion-tracking.md for pixel/tag verificationThe #1 landing page issue in ad campaigns: does the page match the ad?
| Level | Description | Score |
|---|---|---|
| Exact match | Headline, offer, CTA all align perfectly | 100% |
| Partial match | Headline matches but offer/CTA differs | 60% |
| Weak match | Generic page, loosely related to ad | 30% |
| Mismatch | Page content doesn't reflect ad promise | 0% |
Slow pages kill conversion rates. For every 1s delay, CVR drops ~7%.
| Metric | Pass | Warning | Fail |
|---|---|---|---|
| LCP | <2.5s | 2.5-4.0s | >4.0s |
| FID/INP | <100ms | 100-200ms | >200ms |
| CLS | <0.1 | 0.1-0.25 | >0.25 |
| Time to Interactive | <3.0s | 3.0-5.0s | >5.0s |
| Page weight | <2MB | 2-5MB | >5MB |
75%+ of ad clicks come from mobile. Mobile experience is critical.
| Fields | Expected CVR Impact | Use Case |
|---|---|---|
| 1-3 fields | Highest CVR | Top-of-funnel, free offer |
| 4-5 fields | Moderate CVR | Mid-funnel, qualified leads |
| 6-8 fields | Lower CVR | Bottom-funnel, sales-ready |
| 9+ fields | Lowest CVR | Only for high-value offers |
| Platform | Key Requirement | Notes |
|---|---|---|
| QS component: landing page experience | Directly affects ad rank and CPC | |
| Meta | Page load speed critical | Slow pages = Meta penalizes delivery |
| Professional, B2B appropriate | Match LinkedIn's professional context | |
| TikTok | Mobile-first mandatory | 95%+ TikTok traffic is mobile |
| Microsoft | Desktop-optimized matters more | Higher desktop % than other platforms |
Landing Page Health
Message Match: ████████░░ XX/100
Page Speed: ██████████ XX/100
Mobile: ███████░░░ XX/100
Trust Signals: █████░░░░░ XX/100
Form Quality: ████████░░ XX/100
LANDING-PAGE-REPORT.md: Per-page assessment with scoresMake data-driven prioritization decisions faster
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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
Solid pick for teams standardizing on skills: ads-landing is focused, and the summary matches what you get after install.
Keeps context tight: ads-landing is the kind of skill you can hand to a new teammate without a long onboarding doc.
Registry listing for ads-landing matched our evaluation — installs cleanly and behaves as described in the markdown.
ads-landing is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
ads-landing has been reliable in day-to-day use. Documentation quality is above average for community skills.
ads-landing reduced setup friction for our internal harness; good balance of opinion and flexibility.
I recommend ads-landing for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in ads-landing — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Solid pick for teams standardizing on skills: ads-landing is focused, and the summary matches what you get after install.
Registry listing for ads-landing matched our evaluation — installs cleanly and behaves as described in the markdown.
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