SEO, ads, social media, landing pages, and copywriting (3.1K skills)
Collect Amazon product reviews by supplying an ASIN, Amazon's product identifier. BrowserAct returns ratings, review text, publication dates, reviewer details, and verified purchase status without an Amazon login, providing data for feedback research and competitor comparisons.
Analyze an Amazon competitor by ASIN, its product identifier, using listing text, keywords, images, and reviews. Identify competitor strengths and unmet buyer needs, then turn those findings into positioning and product opportunities for your brand.
Collect customer reviews from Walmart using a product item ID. Retrieve ratings, review text, dates, verified purchase status, and selected product variants in structured form to prepare customer feedback research and product comparisons.
Collect product data from Walmart keyword search pages, including titles, prices, ratings, availability, seller details, and product links. Choose a sort order and gather multiple pages to compare prices or build product lists for research.
Turn CHANGELOG.md entries into English and French announcement drafts for LinkedIn, Twitter/X, newsletters, and Slack. Select a release or week, highlight useful changes, and optionally choose the audience, format, and language.
Turn repository documentation and images into a complete landing page with features, setup instructions, and FAQs. Generate static HTML, CSS, and JavaScript files, plus a GitHub Actions workflow for publishing on GitHub Pages.
Turn CHANGELOG.md entries into French and English drafts for LinkedIn, Twitter/X, newsletters, and Slack. Select a release or week, highlight changes that matter to users, and optionally save the resulting announcements.
Coordinate SEO work from Google Search Console analysis and keyword research to title improvements, article creation, translation, internal linking, and technical audits. Follow a workflow that connects search performance diagnosis with content updates, validation, and deployment.
Create or improve search-focused pages for online tools such as generators and converters. It studies search intent and competing pages, then produces English content JSON, implementation guidance, and checks for page content and search visibility.
Audit a website for Google AdSense application readiness or ongoing ad-serving issues. Check content, navigation, crawler access, and disclosures against official requirements, then receive evidence-based findings, specific fixes, and a complete checklist with unresolved questions clearly marked.
Audit Google Ads exports or pasted campaign data to find wasted spend, missing negative keywords, account structure problems, and bidding issues. Receive a health score, specific fixes, and a prioritized action plan with confidence levels.
Analyze A/B test results to assess whether observed differences are likely due to chance. Check test duration and sample size, compare audience segments, distinguish statistical findings from practical value, and generate hypotheses for follow-up tests.
Compare Google and Meta advertising results with industry benchmarks suited to your campaign type, budget, and account context. Identify strengths, likely causes of weak performance, and improvement opportunities ranked by potential impact.
Analyze successful Google and Meta ads to find useful patterns in headlines, body text, and calls to action. Generate new copy variants that preserve those patterns, with platform formatting, test priorities, and suggested pairings for comparison.
Analyze Google Ads Quality Score, a keyword-level quality rating, across expected click-through rate, ad relevance, and landing page experience. Identify weak components and their causes, then prioritize fixes by potential click-cost savings and conversion impact.
Analyze a site and target keywords to identify technical SEO issues, page improvements, missing content, and backlink opportunities. Receive a prioritized action plan and a writing brief with an outline, questions, and suggested internal links.
Create a complete email sequence from the target audience, offer, buying concerns, and brand voice. Get subject line options, preview text, full messages, calls to action, and a timing plan that keeps the tone consistent.
Analyze how often people see Meta ads and where repeated exposure starts reducing performance. Get campaign-specific frequency cap recommendations, estimated spending savings, and projections of additional reach from redirecting spending toward people who have not seen the ads.
Compare current and previous Google and Meta campaign data to investigate rising cost per acquisition, the cost of each conversion. Receive contributing factors ranked by impact, affected campaigns or audiences, and prioritized fixes.
Find search terms, placements, audiences, and ads that spend money but generate few or no conversions in Google and Meta accounts. The skill prepares uploadable exclusion lists and groups spending by category to help prioritize account cleanup.
Analyze spending, revenue, and conversions across advertising channels to recommend budget shifts. Compare overall efficiency with the revenue gained from additional spending, identify saturation, and produce a gradual reallocation plan with monitoring priorities.
Compare Google and Meta campaign results across countries, states, cities, or postal codes. Identify weak and strong regions, then get recommendations for bid changes, separate campaigns, and budget redistribution based on meaningful performance differences.
Analyze how long visitors take to convert and use those patterns to refine Meta retargeting, advertising to previous visitors. Provides recommended audience windows, confidence levels, spending breakdowns, estimated savings, and bid adjustments based on time since the visit.
Plan and analyze A/B tests for Google and Meta advertising. Estimate required traffic and duration, track results, and assess whether observed differences are statistically significant, meaning unlikely to be explained by chance alone.