Skills
97,222 packaged capabilities and playbooks for agents. Install any of them with one command.
Marketing & growth
Use this skill to create and activate a Territory Type, Territory Model, and Territories for Life Sciences Cloud. Trigger when the user says 'set up territories', 'create territory model', 'configure territory hierarchy for Life Sciences', 'territory setup for LSC', or 'create territories for Life Sciences Cloud'. Creates a Geographical territory type, an LSC Territory Model, and a 3-level territory hierarchy (Region, District, Territory). Confirms names with the user, shows a preview, then deploys and activates the model. DO NOT TRIGGER when: user wants to validate prerequisites, assign users to territories, create territory assignment rules, or run the full end-to-end Life Sciences Cloud setup / orchestration (that is the `life-sciences-fieldsalesrep-coordinate` orchestrator's job — this skill runs only as a standalone territory setup).
Filter independent-site Shopify products by multiple dimensions via EHunt Shopify product query (gateway route `ehunt/shopify/productQuery`) (keyword/URL, price, weekly sales, listing time, Facebook ads, competition level, supply availability, shipping country, etc.). Trigger when the user mentions EHunt Shopify product, Shopify product selection, independent-site product selection, Shopify bestsellers, Shopify dropshipping, independent-site product listing, Facebook ad products, Shopify product query, or shopify items. Even if the user does not write EHunt, as long as they are searching products, checking weekly sales/revenue/competition level, or filtering products on Shopify independent sites, this skill should also be triggered.
Filter independent-site Shopify stores by multiple dimensions via EHunt Shopify store query (gateway route `ehunt/shopify/storeQuery`) (store name/domain, country, years since creation, product count, ad count, monthly visits, monthly orders, social media followers, etc.). Trigger when the user mentions EHunt Shopify store, Shopify store analysis, independent-site stores, Shopify seller, independent-site competitor stores, Shopify monthly visits, independent-site ad library, shopify stores, or Shopify store query. Even if the user does not write EHunt, as long as they are finding stores, filtering store data, or analyzing store performance on Shopify independent sites, this skill should also be triggered.
Filter Temu products by multiple dimensions via EHunt Temu product query (gateway route `ehunt/temu/productQuery`) (keyword/product ID/store ID, front-end and back-end categories, price, rating, reviews, total/weekly/daily sales, listing time, fully managed/semi-managed, semi-managed region, tags, etc.). Trigger when the user mentions EHunt Temu product, Temu product selection, Pinduoduo cross-border, Temu bestsellers, Temu semi-managed, fully managed products, Temu product query, or temu items. Even if the user does not write EHunt, as long as they are searching products, checking sales/rating/price, or filtering products on Temu, this skill should also be triggered.
Filter Temu stores by multiple dimensions via EHunt Temu store query (gateway route `ehunt/temu/storeQuery`) (store name/ID, country site, back-end category, fully managed/semi-managed, total/weekly/monthly sales and revenue, rating, reviews, followers, product count, store opening time, etc.). Trigger when the user mentions EHunt Temu store, Temu store analysis, Temu seller, Temu store rankings, Temu semi-managed stores, Temu revenue, temu stores, or Temu store query. Even if the user does not write EHunt, as long as they are finding stores, filtering store data, or analyzing store performance on Temu, this skill should also be triggered.
Build a go-to-market plan that's a stage-appropriate system — customers, channels, pricing, timing, and partnerships that fit the company's maturity — not a generic launch checklist. Gates on GTM readiness (validated demand) and company stage, picks the right channel and entry timing, and treats the buyer journey as non-linear. Catches the defaults Claude misses: GTM-as-one-time-launch, stage-skipping, channel/timing blindness, funnel-forcing, partnerships-as-shortcut. Trigger when asked to create a GTM/go-to-market plan, launch plan, channel or distribution strategy, market-entry/timing plan, or launch metrics.
Give Claude any viral reel (a link or a file) and it studies the whole thing—frame by frame plus the transcript—then breaks down exactly why it works: the hook, the beat structure, the pacing, and the on-screen visuals. Use when the user says “study this reel”, “break down this video”, “analyze this reel”, “why did this go viral”, “what’s the structure of this”, or pastes a reel/TikTok/Short link and wants to model it.
Designs, weight, and tune a lead scoring model for your sales funnel. Use when scores don't predict conversion, MQL/SQL threshold feels arbitrary, reps ignoring lead scores because they're inaccurate, too many unqualified leads passing to sales, or not sure which signals actually matter. Do NOT use for reading existing buying signals (use /sales-intent), building prospect lists (use /sales-prospect-list), or marketing-to-sales handoff process design (use /revops).
Generate competitive SEO content briefs with per-section word counts, competitor scoring, keyword density guidance, and page-type templates. Supports both new page briefs and improve-existing-page briefs. Use when user says “content brief”, “write a brief”, “content outline”, “blog brief”, “service page brief”, “brief for”, “writing brief”, “content plan”, or “outline for”.
AI image generation for SEO assets: OG/social preview images, blog hero images, schema images, product photography, infographics. Powered by Gemini via nanobanana-mcp. Requires the banana extension installed. Use when user says "generate image", "OG image", "social preview", "hero image", "blog image", "product photo", "infographic", "seo image", "create visual", "image-gen", "favicon", "schema image", "pinterest pin", "generate visual", "banner", or "thumbnail".
Image optimization analysis for SEO and performance. Checks alt text, file sizes, formats, responsive images, lazy loading, CLS prevention, image SERP rankings (via DataForSEO), and image file optimization (WebP/AVIF conversion, IPTC/XMP metadata injection). Use when user says "image optimization", "alt text", "image SEO", "image size", "image audit", "optimize images", "image metadata", "image SERP", "convert to webp", or "image file optimize".
Comprehensive SEO analysis for any website or business type. Full site audits, single-page analysis, technical SEO (crawlability, indexability, Core Web Vitals with INP), schema markup, content quality (E-E-A-T), image optimization, sitemap analysis, and GEO for AI Overviews/ChatGPT/Perplexity. Industry detection for SaaS, e-commerce, local, publishers, agencies. Triggers on: SEO, audit, schema, Core Web Vitals, sitemap, E-E-A-T, AI Overviews, GEO, technical SEO, content quality, page speed, structured data.
Strategic SEO planning for new or existing websites. Industry-specific templates, competitive analysis, content strategy, and implementation roadmap. Use when user says "SEO plan", "SEO strategy", "SEO planning", "content strategy", "keyword strategy", "content calendar", "site architecture", or "SEO roadmap".
Search Experience Optimization: reads Google SERPs backwards to detect page-type mismatches, derives user stories from search intent signals, and scores pages from multiple persona perspectives. Identifies why well-optimized pages fail to rank by analyzing what Google rewards for each keyword. Use when user says "SXO", "search experience", "page type mismatch", "SERP analysis", "user story", "persona scoring", "why isn't my page ranking", "intent mismatch", or "wireframe".
UGC video format templates for skincare brands. Contains 20 TikTok-native, lofi video formats with shot-by-shot structure and AI video generation prompts. Use when the user wants to create skincare UGC content — routines, texture shots, ingredient education, or product showcases.
Collect and research materials for X (Twitter) content creation using multi-round web search strategy. Use when user wants to gather trending topics, research subjects for X posts, or mentions "collect materials", "research topic", "find content for X", "x-collect". Performs 4-round deep research mimicking human research workflow.
Analyze the message match between your ads and landing pages. Checks if the promise in the ad copy carries through to the landing page headline, body, and CTA. Flags disconnects that kill conversion rates. Works with Google, Meta, and LinkedIn ads.
Audit a website with the squirrelscan CLI and fix the findings in code. Runs SEO, performance, security, technical, content, accessibility, and 15 other rule categories (260+ rules), returns an LLM-optimized report, then drives an iterative fix loop, mapping issues to source files, applying fixes, and re-auditing until the site scores well. Use to discover and assess website or webapp issues and drive them to fixed.
When the user wants to apply, document, or enforce brand guidelines for any product or company. Also use when the user mentions 'brand guidelines,' 'brand colors,' 'typography,' 'logo usage,' 'brand voice,' 'visual identity,' 'tone of voice,' 'brand standards,' 'style guide,' 'brand consistency,' or 'company design standards.' Covers color systems, typography, logo rules, imagery guidelines, and tone matrix for any brand — including Anthropic's official identity.
Competitive landscape analysis: Porter's Five Forces, competitor discovery, feature/pricing matrices, positioning maps, moat assessment via WebSearch. Triggers on: "competitive analysis", "competitor comparison", "competitive landscape", "Porter's Five Forces", "market positioning", "moat assessment", "defensibility analysis".
Your For You page for content creators. Scrapes tracked competitors across social media platforms, scores what's performing, and turns it into actionable, differentiated content ideas backed by real engagement data. Use this whenever the user wants competitor/creator research, a content feed or "for you" page, trending-topic ideas in their niche, to see what's working on social, to track what creators are posting, or to generate video/post briefs from what's performing — even if they don't say "find ideas." First run walks through setup.
Design and build interactive playgrounds that let developers experience your product without commitment. This skill covers playground architecture, pre-populated examples, embedding strategies, gating decisions, and converting playground users to signups. Trigger phrases: "developer sandbox", "API playground", "interactive playground", "try it now", "demo environment", "code playground", "live examples", "embedded playground", "developer trial", "sandbox conversion", "playground design"
Douyin short-video growth assistant for content creators, operators, brands, and e-commerce, used when the user provides Douyin content links; it helps generate sentiment and public-opinion assessments, user profiles and intent signals, operating suggestions, and reply suggestions based on the input material.
When the user wants to analyze local ranking data using geogrid scans, interpret map pack rankings across a geographic area, or understand ARP/ATRP/SoLV metrics. Also use when the user mentions "geogrid," "rank grid," "local rank tracking," "Local Falcon," "grid scan," "map pack rankings," "ranking heatmap," or "where am I ranking." For broader local audit, see local-seo-audit. For competitor analysis, see local-competitor-analysis.
Use for TikTok Shop market data: trending products, top creators, shop/product sales and revenue, viral videos, livestreams, category rankings, product selection, creator commerce, shop/product sales, viral videos, livestream commerce, and TikTok Shop data. Answers come from KaloData via the bundled `kalo` CLI (Python, zero install). Use whenever the user researches TikTok Shop, even if they never say "kalodata"
Decomposes high-level North Star metrics into actionable sub-metrics and leading indicators, maps causal relationships between metric levels, and identifies high-impact experiments to move key metrics. Use when setting product North Star metrics, decomposing business metrics into drivers, mapping strategy to measurable outcomes, identifying which metrics to move through experimentation, understanding leading vs lagging indicators, prioritizing metric improvement opportunities, or when user mentions metric tree, metric decomposition, North Star metric, KPI breakdown, metric drivers, or how metrics connect.
Use when someone wants to move an app from paywall placements to Flow Builder flows — "migrate my placements to flows", "switch my paywalls to flows", "we have 40 placements on paywalls and want flows", or a bulk request across many apps or paywalls. Creates NEW flow placements alongside the existing paywall ones and hands back the old→new mapping plus the SDK call change. Never converts a placement in place — the backend refuses a type change. Complements `flow-generator` (which builds and publishes flows) and `adapty-integration` (which owns the app-side call sites).
When the user wants to add, fix, or optimize schema markup and structured data on their site. Also use when the user mentions "schema markup," "structured data," "JSON-LD," "rich snippets," "schema.org," "FAQ schema," "product schema," "review schema," "breadcrumb schema," "Google rich results," "knowledge panel," "star ratings in search," or "add structured data." Use this whenever someone wants their pages to show enhanced results in Google. For broader SEO issues, see seo-audit. For AI search optimization, see ai-seo.
When the user wants to audit, review, or diagnose SEO issues on their site. Also use when the user mentions "SEO audit," "technical SEO," "why am I not ranking," "SEO issues," "on-page SEO," "meta tags review," "SEO health check," "my traffic dropped," "lost rankings," "not showing up in Google," "site isn't ranking," "Google update hit me," "page speed," "core web vitals," "crawl errors," or "indexing issues." Use this even if the user just says something vague like "my SEO is bad" or "help with SEO" — start with an audit. For building pages at scale to target keywords, see programmatic-seo. For adding structured data, see schema-markup. For AI search optimization, see ai-seo.
Backlink profile analysis: referring domains, anchor text distribution, toxic link detection, competitor gap analysis. Works with free APIs (Moz, Bing Webmaster, Common Crawl) and DataForSEO extension. Use when user says backlinks, link profile, referring domains, anchor text, toxic links, link gap, link building, disavow, or backlink audit.
Generate SEO-optimized competitor comparison and alternatives pages. Covers "X vs Y" layouts, "alternatives to X" pages, feature matrices, schema markup, and conversion optimization. Use when user says "comparison page", "vs page", "alternatives page", "competitor comparison", "X vs Y", "versus", "compare competitors", or "alternative to".
Live SEO data via DataForSEO MCP server. SERP analysis (Google, Bing, Yahoo, YouTube, Google Images), keyword research (volume, difficulty, intent, trends), backlink profiles, on-page analysis (Lighthouse, content parsing), competitor analysis, content analysis, business listings, AI visibility (ChatGPT scraper, LLM mention tracking), and domain analytics. Requires DataForSEO extension installed. Use when user says "dataforseo", "live SERP", "keyword volume", "backlink data", "competitor data", "AI visibility check", "LLM mentions", "image SERP", "google images", "image rankings", or "real search data".
SEO drift monitoring: capture baselines of SEO-critical elements, detect changes, and track regressions over time. Git for SEO — baseline, diff, and track changes to your on-page SEO. Use when user says "SEO drift", "baseline", "track changes", "did anything break", "SEO regression", "compare SEO", "before and after", "monitor SEO changes", or "deployment check".
E-commerce SEO analysis: Google Shopping visibility, Amazon marketplace intelligence, product schema validation, competitor pricing analysis, and marketplace keyword gaps. Combines on-page product SEO with marketplace data from DataForSEO Merchant API. Use when user says "ecommerce SEO", "product SEO", "Google Shopping", "marketplace SEO", "product schema", "Amazon SEO", "product listings", "shopping ads", or "merchant SEO".
FLOW framework integration — evidence-led SEO using the Find → Leverage → Optimize → Win loop. Surfaces stage-specific AI prompts from the FLOW knowledge base (41 prompts, CC BY 4.0). Use when user says "FLOW", "FLOW framework", "seo flow", "evidence-led SEO", "find leverage optimize win", or wants stage-specific SEO prompts.
Google SEO APIs: Search Console (Search Analytics, URL Inspection, Sitemaps), PageSpeed Insights v5, CrUX field data with 25-week history, Indexing API v3, and GA4 organic traffic. Provides real Google field data for Core Web Vitals, indexation status, search performance, and organic traffic trends. Use when user says "search console", "GSC", "PageSpeed", "CrUX", "field data", "indexing API", "GA4 organic", "URL inspection", "google api setup", "real CWV data", "impressions", "clicks", "CTR", "position data", "LCP", "INP", "CLS", "FCP", "TTFB", or "Lighthouse scores".
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.