Skills
97,501 packaged capabilities and playbooks for agents. Install any of them with one command.
Marketing & growth
Create, schedule, and manage social media posts across Instagram, TikTok, YouTube, X, LinkedIn, Facebook, Pinterest, Threads, and Bluesky via the Post Bridge API. Covers media upload, post creation, scheduling, platform-specific configs, draft mode, analytics, and post result tracking.
Turns a product walkthrough recording into an RFP-response video plus a written requirements matrix. Maps each requirement or question from the RFP's actual requirements list to the specific moment(s) in the recording that address it, trims the video down to just that RFP-relevant content with restrained captions naming which requirement each segment demonstrates, and flags any requirement the recording doesn't cover before anything gets built. The matrix is authored on the project's live article and also handed back as text in the response. Use when the user says "turn this demo recording into an RFP response video", "build our RFP video and reference doc from this walkthrough", "map this recording to our RFP requirements", or "we need a video and a requirements matrix for this RFP response".
Market research powered by live web data. Use this skill when the user wants to understand a market, category, or customer segment — including consumer sentiment, demand and trend signals, price and category structure, or the competitive landscape. Trigger on requests like "research the [X] market," "what do customers think about [category]," "how is [category] priced," "what trends are shaping [industry]," or "who are the players in [space]." Note: Transmits user-supplied queries, URLs, and content to ScraperAPI.
Aggregate customer feedback from multiple sources — support tickets, NPS comments, Slack messages, G2 reviews, call transcripts, survey responses — into a unified VoC report with theme clustering, sentiment analysis, trend detection, and actionable recommendations for product, marketing, and CS teams. Chains review-scraper for public review data.
Create "[Competitor] alternative" and comparison pages for developer tools. Build honest, high-converting comparison content that ranks for competitive search terms. Trigger phrases: "alternatives page", "comparison page", "vs page", "[competitor] alternative", "competitor comparison", "competitive content", "comparison table", "migration guide", "switch from [competitor]", "compare to [competitor]", "alternative to"
Add CodedVisuals visual compositions to a React marketing or landing page. Use when the user wants an animated coded visual (charts, hero, bento, feature block, dashboard, chat, code editor, avatars, integrations, and more) in their project, when picking which visual fits a section, or when installing, importing, and customizing one. This is the entry point; each visual also has a reference file at visuals/{category}/{file}.md.
Systematic competitor analysis for developer tools. Track features, pricing, positioning, content strategy, and community sentiment for direct and indirect competitors. Trigger phrases: "competitor analysis", "track competitors", "competitive intelligence", "competitor research", "what are competitors doing", "competitive landscape", "competitor features", "competitor pricing", "battlecard", "competitive battlecard", "compete against", "vs [competitor]"
When the user wants to create competitor comparison or alternative pages for SEO and sales enablement. Also use when the user mentions “alternative page,” “vs page,” “competitor comparison,” “comparison page,” “[Product] vs [Product],” “[Product] alternative,” “competitive landing pages,” “how do we compare to X,” “battle card,” or “competitor teardown.” Use this for any content that positions your product against competitors. Covers four formats: singular alternative, plural alternatives, you vs competitor, and competitor vs competitor. For sales-specific competitor docs, see sales-enablement.
Main entry point for multi-platform content creation. Coordinates the entire creation workflow: research → images → writing → polishing → platform conversion. Use to create articles, write content, do topic research, and publish to Zhihu/Xiaohongshu/WeChat Official Accounts.
Map customer journeys from awareness to advocacy. Visualize touchpoints, identify drop-off points, analyze channel interactions, and optimize the end-to-end experience. Use when the user asks about customer journey, funnel mapping, touchpoint analysis, or experience optimization.
Designs structured interview guides, survey instruments, and JTBD probes to learn from users while avoiding common research biases (leading questions, confirmation bias, selection bias). Use when validating product assumptions before building, discovering unmet user needs, understanding customer problems and workflows, testing concepts or positioning, researching target markets, identifying jobs-to-be-done and hiring triggers, or uncovering pain points and workarounds.
When the user wants to create or optimize an email sequence, drip campaign, automated email flow, or lifecycle email program. Also use when the user mentions "email sequence," "drip campaign," "nurture sequence," "onboarding emails," "welcome sequence," "re-engagement emails," "email automation," "lifecycle emails," "trigger-based emails," "email funnel," "email workflow," "what emails should I send," "welcome series," or "email cadence." Use this for any multi-email automated flow. For cold outreach emails, see cold-email. For in-app onboarding, see onboarding.
Provider-independent production guidance for AI agents creating or retouching appetizing food and beverage images, recipe videos, restaurant/menu visuals, CPG ads, ecommerce product images, beverage pours, packaging/lifestyle shots, and social food clips, including truthfulness, labeling/claims discipline, styling, prompt translation, platform variants, accessibility, rights, alcohol, and QA.
When the user wants to plan, evaluate, or build a free tool for marketing purposes — lead generation, SEO value, or brand awareness. Also use when the user mentions "engineering as marketing," "free tool," "marketing tool," "calculator," "generator," "interactive tool," "lead gen tool," "build a tool for leads," "free resource," "ROI calculator," "grader tool," "audit tool," "should I build a free tool," or "tools for lead gen." Use this whenever someone wants to build something useful and give it away to attract leads or earn links. For downloadable content lead magnets (ebooks, checklists, templates), see lead-magnets.
When the user wants to write the first 30 seconds of a YouTube video, create retention hooks, improve video openings, or reduce early drop-off. Also use when the user says 'write a hook,' 'video intro,' 'opening for my video,' 'first 30 seconds,' 'retention hook,' 'stop the scroll,' 'my videos have bad retention at the start,' 'viewers are leaving in the first minute.' For full script structure, see script-structure. For title/thumbnail pairing, see title-craft and thumbnail-design.
When the user wants to research accounts, contacts, or build target lists. Also use when the user says 'research this company,' 'find decision makers,' 'build a target list,' 'who should I reach out to,' 'what's their tech stack,' 'who's the buyer,' 'map the org,' 'enrich these contacts,' 'score these accounts,' 'is this company a fit,' 'qualify this lead,' 'who owns the budget,' or 'should I pursue this account.' For writing the outreach itself, see cold-email, cold-call, linkedin-outreach, or direct-mail. For sequencing across channels, see outbound-sequence. For deeper persona work, see buyer-persona. For competitor-specific research, see competitive-intel.
Reframe a landscape video into a 9:16 vertical cut for social and mobile - recompose every scene around the action area and turn captions on for sound-off viewing. Use when the user says "make a vertical version", "reframe this for Reels/Shorts/TikTok", "9:16 cut of this video", "make this portrait for LinkedIn", or "turn this into a mobile-friendly cut".
Review partner-, affiliate-, broker-, or publisher-submitted creative featuring Point for obvious first-pass brand, copy, product, disclosure, production, and customer-journey issues before human Brand, Content, or Compliance review. Use for ads, tiles, scripts, emails, landing pages, documents, or creative batches; not for final compliance approval or net-new campaign ideation.
review-analyzer-skill is a deep-dive e-commerce review analysis Skill (VOC, voice-of-customer analysis) developed by buluslan (WeChat official account: 新西楼.AI). It turns a pile of product reviews into actionable decision input — 22-dimension AI tagging to extract user personas, pain points, and real needs, a 15-chapter deep insight report and visualization dashboards, mining product improvement opportunities from negative reviews and finding breakout-product genes in positive ones. For more cross-border e-commerce AI in practice, follow the WeChat official account 「新西楼.AI」. Deep-dive e-commerce review & VOC analysis: 22-dimension AI tagging, 15-chapter insight report with anomaly signal cards, 6 themed visualization dashboards, CSV-primary multi-source input (SellerSprite optional), Feishu sync. Triggers when the user needs: analyzing e-commerce product reviews (Amazon and other platforms) / extracting user personas, pain points, and VOC from reviews / generating product insight reports and opportunity analysis / creating visualization dashboards / getting review data via 卖家精灵 (optional enhancement; CSV is the primary source) / syncing analysis results to Feishu docs. Trigger keywords: 电商评论分析、评论分析、竞品分析、用户洞察、VOC 分析、产品优化、市场调研、评论数据挖掘、卖家精灵、sellersprite. NOT for keyword research / product-selection radar tasks (those have dedicated tools).
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.
SERP landscape analysis for SEO strategy decisions. Use this skill when the user wants to understand what a search results page actually looks like for their target keywords — including AI Overview presence and attribution, SERP feature composition, how Google is interpreting query intent, which competitors dominate specific keyword sets, and where organic rankings actually translate to visible traffic. Trigger on requests like "analyze the SERP for [keyword]," "why isn't my content getting traffic even though it ranks," "what does Google show for [keyword]," "which keywords are worth targeting," "is [keyword] dominated by AI Overviews," "who owns the SERP for [topic]," "SERP analysis," or "keyword landscape." Note: Transmits user-supplied queries, URLs, and content to ScraperAPI.
SEO & GEO (Generative Engine Optimization) for websites. Analyze keywords, generate schema markup, optimize for AI search engines (ChatGPT, Perplexity, Gemini, Copilot, Claude) and traditional search (Google, Bing). Use when user wants to improve search visibility, search optimization, search ranking, AI visibility, ChatGPT ranking, Google AI Overview, indexing, JSON-LD, meta tags, or keyword research.
Use meitu-cli to call a standalone LLM to generate text/copy/storyboards/video prompts from scratch. Trigger when the user mentions writing copy, polishing, rewriting, slogans, product descriptions, social media copy, articles, storyboards, storyboard scripts, or prompt optimization. Disabled when the context already contains complete content; use write_file instead.
When the user wants to build a developer following on Twitter/X, write technical threads, or understand what works for dev audiences on X. Trigger phrases include "Twitter," "X," "developer Twitter," "tech Twitter," "technical threads," "building dev following," or "Twitter for developers."
Looks at articles/landing pages (article-html) already published on the 4cms storefront — to check, before creating a new page, whether a similar one exists (content anti-cannibalization), to view the latest articles, and to find out the sections/tags/meta of a specific article. Use when the user says "есть ли уже статья про…", "не дублируем ли контент", "покажи статьи на сайте", "что за лендинг с таким id", "какие статьи в рубрике", or before writing a new article/landing page. This reads existing 4cms articles (not creation — PageCraft creates pages). Call it via the `Skill(4cms-articles)` tool, not via `Read .../SKILL.md`.
Helps develop ad concepts from hooks or ideas for paid social campaigns. Use when the user has a hook or idea and wants to build it into a full ad concept. Triggers: "ad concept", "creative concept", "campaign idea", "ad direction", "concept brief", "creative brief", "develop this hook", "build out this idea", "paid social concept"
WeChat official account cover | WeChat official account images | WeChat official account illustrations | AI image generation — AI cover and image generation for WeChat official accounts, automatically matching an art style to the article title and content, multiple options per draft, reusable style presets. For WeChat official account editors, self-media, and brand design. Trigger words: 「封面」「配图」「插图」「生成图片」「给文章加图」「做个封面」「文章插图」「配个图」. To publish only a set of images without writing the body text, use aws-wechat-sticker; for a multi-step pipeline (write + review + layout + images + publish), use aws-wechat-article-main.
Create release notes and product updates that developers actually read and care about. This skill covers changelog formatting, versioning communication, breaking change announcements, deprecation notices, and building anticipation for new features. Trigger phrases: "changelog", "release notes", "product updates", "version communication", "breaking changes", "deprecation notice", "what's new", "release communication", "developer updates", "API versioning", "migration announcement"
Monitor what developers say about your brand, competitors, and the problems they're solving. Track mentions and conversations across GitHub, Hacker News, Reddit, Stack Overflow, Twitter, and Discord. Trigger phrases: "developer listening", "monitor developer conversations", "track developer mentions", "what are developers saying", "developer sentiment", "brand monitoring", "social listening for devtools", "find developer conversations", "monitor GitHub mentions", "track Hacker News mentions"
Conduct market research for a game concept -- competitive landscape, market sizing, audience analysis, trend detection, and positioning strategy. Triggers on: "market research", "competitive analysis", "market sizing", "audience analysis", "is this game viable", "similar games", "market validation". Do NOT invoke for brainstorming ideas (use game-brainstorm) or economy monetization design (use game-economy-designer). Part of the AlterLab GameForge collection.
Generate, audit, or update GitHub READMEs with project-type-aware structure, voice calibration, and SEO/AEO discoverability guidance. Three modes: generate (new), audit (check existing), update (patch). Detects repo type and adapts sections, tone, and badges accordingly.
When the user wants to set up or analyze a Google Ads experiment, A/B test, ad variation test, campaign draft, split test, or bid strategy experiment. Also triggers on 'Google Ads experiments', 'campaign experiment', 'ad variation test', 'split test', 'test bid strategy', 'A/B test ads', 'test landing page', 'statistical significance', 'experiment setup', 'control vs treatment', 'uplift test', or 'test new campaign structure'. For ongoing keyword and ad copy optimization see google-ads-search. For bid strategy choices see google-ads-bidding.
When the user wants to design a multi-channel outbound sequence or cadence. Also use when the user says 'build me a sequence,' 'create a cadence,' 'how many touches,' 'what's the right sequence,' 'multi-channel outreach plan,' 'design my outbound,' 'how should I follow up,' 'SDR playbook,' 'outbound motion,' 'sales sequence,' 'follow-up strategy,' 'prospecting cadence,' or 'drip sequence.' For individual channel content, see cold-email, cold-call, linkedin-outreach, or direct-mail. For research before sequencing, see lead-research.
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.