Skills
97,501 packaged capabilities and playbooks for agents. Install any of them with one command.
Marketing & growth
When the user wants to optimize content for AI search engines, get cited by LLMs, or appear in AI-generated answers. Also use when the user mentions 'AI SEO,' 'AEO,' 'GEO,' 'LLMO,' 'answer engine optimization,' 'generative engine optimization,' 'LLM optimization,' 'AI Overviews,' 'optimize for ChatGPT,' 'optimize for Perplexity,' 'AI citations,' 'AI visibility,' 'zero-click search,' 'how do I show up in AI answers,' 'LLM mentions,' or 'optimize for Claude/Gemini.' Use this whenever someone wants their content to be cited or surfaced by AI assistants and AI search engines. For traditional technical and on-page SEO audits, see seo-audit. For structured data implementation, see schema.
Build a complete Amazon keyword set for a product and sort it into a usable map. generates seed keywords, expands by intent, classifies by funnel stage and relevance, and assigns each keyword a placement (title, bullets, backend, PPC). Use when a user asks for keyword research, keyword ideas, what keywords to target, long-tail keywords, search terms to rank for, or how to map keywords to a listing. Trigger phrases: "keyword research", "keyword ideas", "what keywords", "long tail keywords", "keywords for my listing", "keyword map". Works with zero tools. the user describes the product and audience.
Optimize a full Amazon listing for both ranking and conversion, and diagnose why a listing is not ranking against the A9 + COSMO pillars. Rewrites the title, bullets, and description, places keywords correctly, sharpens the benefit argument, and checks policy and mobile compliance. Use when a user asks to optimize a listing, improve a title, rewrite bullets, fix a listing that does not convert, improve listing copy, do a listing makeover, rank higher in search, audit search visibility, or asks about the A9 or COSMO algorithm. Trigger phrases: "optimize my listing", "listing optimization", "rewrite my bullets", "improve my title", "listing not converting", "listing makeover", "amazon SEO", "rank higher", "A9", "COSMO", "search ranking", "search visibility", "why doesn't my listing rank". Works with zero tools.
Mine Amazon reviews for product, listing, and marketing intelligence. Extracts recurring complaints, feature requests, the words customers use, and the reasons they chose the product, then turns them into listing fixes, product improvements, and copy. Use when a user pastes reviews and asks to analyze them, find complaint patterns, mine reviews, understand customer sentiment, pull insights from competitor reviews, or turn reviews into improvements. Trigger phrases: "analyze reviews", "review analysis", "complaint patterns", "what customers say", "mine reviews", "competitor reviews". Works with zero tools. the user pastes the reviews.
Diagnose whether a seller is stuck in the "ACoS trap" by reading ACoS, TACoS, organic rank, and conversion trends together. Identifies whether bid cuts are killing organic sales and outputs a rebalancing plan. Use when a user asks about TACoS, ACoS trap, ads cannibalizing organic, organic rank dropping, or rebalancing ad spend. Trigger phrases: "TACoS", "ACoS trap", "ad cannibalization", "organic rank dropping", "ad spend rebalance". Works with zero tools. the user pastes trend data.
Use before starting a product, feature, MVP, agent, automation, or integration build to identify the main pre-build risk and choose the smallest validation step. Trigger when the user asks whether to build, scope, validate, prioritize, or sanity-check an idea before implementation.
Use this skill when users need to validate their marketing channel strategy, assess channel focus, or determine lead gen priorities. Activates for "validate my channels," "am I on the right platforms," "should I focus on X or Y channel," or when assessing marketing spread.
Use this skill when users need to remove customer friction, improve customer success, handle objections, design guarantees, or eliminate obstacles between customers and results. Activates for customer success issues, objection handling, or "customers can't get results" problems.
End-to-end content creation workflow that orchestrates research, editorial review, and social distribution agents in sequence. Use when the user wants to create, review, and distribute content through a multi-stage pipeline, or says "/content-pipeline".
Use when the user asks to "optimize entity presence", reconcile an entity identity, or update canonical Knowledge Graph facts; audits and maintains machine-facing identity, sameAs, schema, disambiguation, and AI-recognition evidence through the entities registry. Not for page-level AI-citation readiness - use geo-content-optimizer; not for human-facing brand canon - use narrative-registry. 实体优化/知识图谱
Product naming collaboration workflow. Use when the user wants to name a product, project, or module. Through the structured process of "soul mining → constraint extraction → option divergence → direction selection → competitor validation → final confirmation", it produces names with brand vitality from vague ideas and avoids off-the-cuff naming.
Shopify e-commerce platform marketing expertise. Audit store performance, optimize conversion funnels, configure tracking, and integrate marketing tools. Use when the user asks about Shopify, e-commerce optimization, Shopify analytics, store conversion, product feeds, or Shopify app integrations.
Strategic social media management for B2B SaaS: platform selection, content pillars, editorial calendars, community engagement, and crisis response. Use when building social strategy, planning content calendars, or conducting social audits.
Deep technical SEO auditing covering crawlability, indexation, Core Web Vitals, site architecture, canonicalization, structured data validation, and performance optimization. Use when the user asks about technical SEO, site audits, crawl issues, indexation problems, Core Web Vitals, page speed, or site architecture optimization. For content-focused SEO, see the seo-content-writer skill.
Generates dynamic videos from plain text descriptions using meitu-cli, covering the high-quality default mode and the high-motion fast mode. Triggers when the user mentions text-to-video, generating video from text, "help me generate a video", "make a video", advertising video, product promo, or short video.
UTM parameter strategy, campaign tracking, and marketing attribution modeling. Build consistent UTM taxonomies, configure attribution models, measure cross-channel performance, and connect marketing spend to revenue. Use when the user asks about UTM parameters, campaign tracking, attribution models, marketing measurement, or cross-channel analytics.
Plans and improves YouTube ideas, titles, thumbnail concepts, scripts, retention, channel strategy, and metric-based diagnosis. Use for YouTube content creation or optimization; not for editing footage, generating thumbnail pixels, or uploading through the API.
Google and Meta paid media account structure evaluation. Audits campaign/ad set architecture against conversion volume minimums, budget thresholds, and targeting overlap. Identifies over-segmentation, under-segmentation, budget fragmentation, and structural anti-patterns blocking algorithmic learning. Provides consolidation roadmaps with migration plans. Use when inheriting accounts, quarterly health checks, or before scaling budgets.
Design a portfolio-level Amazon advertising strategy across Sponsored Products, Sponsored Brands, and Sponsored Display. Sets the TACoS target, splits budget by funnel stage, defines the role of each campaign type, and builds a scaling plan. Use when a user asks how to structure their ad account, allocate ad budget, set ACoS or TACoS targets, decide between SP, SB, and SD, plan a launch vs a scale phase, or fix an ad account that grew without a plan. Trigger phrases: "advertising strategy", "ad budget", "TACoS", "ad portfolio", "SP SB SD", "scale my ads", "ad account structure". Works with zero tools. The user pastes their own ad and sales numbers.
Mine the Customer Questions tab of a listing for unanswered buyer intent. Generates branded answers to publish, then feeds the recurring question themes back into bullets, A+ content, and backend keywords. Use when a user asks about Customer Questions section, Q&A tab, unanswered questions, or using questions for SEO. Trigger phrases: "Customer Questions", "Q&A tab", "unanswered questions", "questions on my listing". Works with zero tools. the user pastes the questions.
Use for backlink work - finding, qualifying, submitting, analyzing or verifying backlinks, directory and blog-comment placements, competitor link sources, anchors, toxic links and disavow, outreach templates, and reading Ahrefs, Semrush or Similarweb backlink and traffic reports (外链、反链、去哪发、提交目录、评论外链、发出去没有、毒性、disavow、竞品外链、竞品导流、数据面板). This Skill owns what to read from those reports and which placements to pursue. Not for generic logged-in browser driving, sessions or doctor faults (use opencli), and not for sitemap, IndexNow or Search Console indexing operations (use rankup); index-submission here is only a reference kept apart from backlinks.
Identify at-risk customer accounts by analyzing usage patterns, engagement signals, and support history to generate churn risk scores and intervention recommendations. Use when the user requests churn analysis or provides relevant inputs for this workflow.
Build sales battlecards with feature comparisons, objection handling scripts, positioning statements, and win themes for competitive deal scenarios. Use when the user requests competitive battlecard creation or provides relevant inputs for this workflow.
Analyze NPS, CSAT, and qualitative customer feedback to extract themes, identify trends, and generate actionable insight reports. Use when the user requests customer feedback analysis or provides relevant inputs for this workflow.
Find evidence-backed potential first customers, beta users, or design partners from public demand signals. Use for product-specific prospect research, qualified shortlists, source-grounded outreach drafts, and follow-up searches refined by the user's feedback and local prospect history. Does not send outreach automatically.
Expert guidance for Google Ads Script development including AdsApp API, campaign management, ad groups, keywords, bidding strategies, performance reporting, budget management, automated rules, and optimisation patterns. Use when automating Google Ads campaigns, managing keywords and bids, creating performance reports, implementing automated rules, optimising ad spend, working with campaign budgets, monitoring quality scores, tracking conversions, pausing low-performing keywords, adjusting bids based on ROAS, or building Google Ads automation scripts. Covers campaign operations, keyword targeting, bid optimisation, conversion tracking, error handling, and JavaScript-based automation in the Google Ads scripts editor. Do NOT use for the Google Ads API (Python/REST/gRPC) - this is Ads Scripts only. Do NOT use for Microsoft Ads, Meta Ads, or other non-Google ad platforms.
Google Analytics 4 data analysis and reporting via google-analytics-cli. Use when the user wants to check GA4 traffic, run reports with dimensions and metrics, monitor realtime users, explore account structure, or analyze user behavior. Triggers: "Google Analytics", "GA4", "analytics report", "active users", "page views", "traffic source", "sessions", "engagement", "realtime", "bounce rate".
Analyze Google Analytics data, review website performance metrics, identify traffic patterns, and suggest data-driven improvements. Use when the user asks about analytics, website metrics, traffic analysis, conversion rates, user behavior, or performance optimization.
Design structured customer onboarding workflows with phased checklists, email templates, success milestones, and ownership assignments. Use when the user requests onboarding playbook creation or provides relevant inputs for this workflow.
Generate localized cover images and reusable image prompts from the shared Punk style library for articles, Xiaohongshu notes, WeChat public account posts, X posts, Instagram, Facebook, LinkedIn, YouTube, TikTok, Pinterest, Snapchat, Reddit, Threads, Bluesky, Medium, topic drafts, and requests for covers, social cover images, poster prompts, style-template-based image prompts, or image generation from long-form text. Use this skill to analyze source content, resolve unsupported ratios to the closest available generation ratio, select a localized visual style, save the final prompt, and generate the image when an image-generation tool is available.
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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.