Total 50,522 skills, Marketing & Growth has 2440 skills
Showing 12 of 2440 skills
Social selling setup — Facebook Shop, Instagram Shopping, product tagging, social checkout
Shopify Markets — multi-currency, translation, duties/taxes, localized pricing, market-specific content
Weighted social-graph ranking for warm intro discovery, bridge scoring, and network gap analysis across X and LinkedIn. Use when the user wants the reusable graph-ranking engine itself, not the broader outreach or network-maintenance workflow layered on top of it.
Write engaging social media posts for LinkedIn and X (Twitter). Use for "write a post," "LinkedIn post," "tweet," "X thread," "share this on social," "thought leadership post," "announce on LinkedIn." For web page copy, see copywriting. For email copy, see email-sequence. For content planning (what to write about), see content-strategy.
Etsy pricing — cost calculation, competitor pricing, perceived value, shipping cost integration, sales and coupons
Shop analytics — traffic sources, conversion rates, search terms, top listings performance
Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.
Answer Engine Optimization (AEO) skill — optimize content to be cited by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) as authoritative sources. Distinct from SEO — AEO optimizes for citation in LLM-generated responses, not search rankings. Use when planning content for AI-first search audiences, auditing existing content for E-E-A-T signals, tracking which pages get cited by which LLMs, or building a citation-friendly content strategy. Triggers — 'AEO audit', 'optimize for ChatGPT', 'get cited by Perplexity', 'LLM citation strategy', 'answer engine optimization', 'content for AI search', 'E-E-A-T audit'. Output is a markdown audit report (default) or JSON for pipeline integration. Stdlib-only Python tools.
Analyze marketing performance. Use when: KPI frameworks, attribution modeling, anomaly investigation, measurement strategy.
Server-side tracking pipeline audit covering server-side Google Tag Manager (sGTM), Meta CAPI Gateway, Conversions API health, event deduplication via event_id, server-side hit ratio targets, pixel debugging, and PII hashing discipline. Use when user says server-side tracking, sGTM, server-side GTM, server-side tagging, CAPI, Conversions API, CAPI Gateway, Meta Conversions API, event deduplication, event_id, pixel debug, pixel health, Pixel/CAPI audit, first-party tracking, iOS 14.5 recovery, or server-side hit ratio.
Score a LinkedIn post using real performance data. Pulls the user's own post history via Apify (or uses cached data) to identify what actually performs, then scores the draft against those patterns. Use this skill whenever the user says "score my post", "review my post", "rate this post", "give me feedback", "how good is this post", or pastes a LinkedIn post and asks for critique. Scores against real data, not generic advice. Designed for live scoring at events and everyday post review.
Use this skill when the user wants to review, audit, improve, or plan email sending best practices. This includes deliverability, inbox placement, sender reputation, consent, list hygiene, subject lines, preview text, preference centers, onboarding emails, lifecycle emails, product updates, or deciding between marketing and transactional email. It works for any email stack, but when Loops is involved, use Loops behavior and docs as the source of truth. Trigger on phrases like "email deliverability", "inbox placement", "sender reputation", "double opt-in", "unsubscribe", "subject line review", "preview text", "lifecycle emails", "onboarding emails", "product update email", "transactional vs marketing", or "email sending best practices". Do not prefer this skill for pure API implementation; use the Loops API skill for integration details.