landing-page-auditor

What This Skill Does

The landing-page-auditor skill is a specialized diagnostic agent designed to bridge the gap between paid advertising performance and on-site conversion behavior. It is engineered to analyze landing pages specifically within the context of major ad platforms including Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, and Shopify Ads. Rather than providing generic web performance feedback, this skill evaluates your assets against the specific intent of your traffic sources. It identifies friction points, technical reachability issues, and conversion blockers that lead to wasted ad spend, providing a prioritized, actionable roadmap to improve your ROAS and lower CPA.

Installation

To integrate this skill into your environment, use the OpenClaw CLI or your agent dashboard to run the following command:

clawhub install openclaw/skills/skills/danyangliu-sandwichlab/landing-page-auditor

Ensure your OpenClaw instance has appropriate API permissions granted for the ad platforms you intend to monitor, as the skill requires read-access to campaign and event data to function correctly.

Use Cases

• Post-Launch Performance Triage: When a new campaign is live but the conversion rate is unexpectedly low, this skill diagnoses whether the landing page content matches the ad creative or if technical bottlenecks are causing drop-offs.
• Ad Spend Waste Reduction: Proactively audit high-spend campaigns to identify why users are clicking but not converting, allowing you to optimize before bleeding more budget.
• Funnel Friction Diagnosis: Evaluate if the path from a specific ad platform (like TikTok vs. Google) contains friction that is unique to that audience's intent, such as mobile responsiveness issues for social traffic or intent mismatch for search traffic.

Example Prompts

1. "Audit the landing page for my Google Ads campaign (ID: G-9921) over the last 7 days. Our CPA is spiking; identify if the page is failing to meet user intent or if there is a loading issue."
2. "We are running Meta ads for our new product launch. The CTR is high, but the conversion rate is nearly zero. Run an audit on the destination URL to identify potential conversion blockers."
3. "Evaluate the traffic quality and landing page friction for our recent TikTok ad set. Provide a prioritized list of fixes based on potential revenue impact."

Tips & Limitations

• Data Freshness: Always ensure your analytics data is current. If the tool reports stale data, wait for the sync to complete, as auditing based on old snapshots leads to inaccurate recommendations.
• Specificity: The more context you provide (e.g., specifying the ad platform or current business KPIs), the more granular the resulting action plan will be.
• Action-Oriented: The skill is designed to escalate high-risk findings. If it suggests a containment action, prioritize that immediately to prevent further budget loss.
• Channel Awareness: Avoid treating all traffic as equal. The skill is context-aware—use its advice to tailor your landing pages specifically for the user behavior typical of each channel (e.g., high-intent search vs. impulse-driven social).