Skills
96,981 packaged capabilities and playbooks for agents. Install any of them with one command.
Marketing & growth
Advanced Amazon product search and filtering based on Keepa data, with multiple criteria including category, price, monthly sales, keywords, BSR rank, review count, rating, package dimensions, weight, and shipping method. Trigger this skill when the user mentions Keepa product selection, Amazon product search, advanced product selection, BSR filtering, selection by sales rank, monthly sales filtering, keyword or category selection, competitor screening, niche product discovery, historical rank filtering, Keepa product selection, advanced product selection, BSR filtering, sales filtering, category search, competitor screening, historical data filtering, or Amazon product selection. Trigger it even without an explicit mention of “Keepa” when the request involves multi-criteria Amazon product search, filtering products by sales metrics, or advanced selection beyond simple keyword search.
For drill-down analysis of products by brand on MPSTATS for Ozon Russia. Returns all products under an Ozon brand display name (in Russian or Latin script), with full metrics including sales volume, revenue, price, rating, inventory, turnover, and lost sales. Supports multidimensional numeric filtering, sorting, and currency conversion. Use for brand benchmarking, competitor analysis, brand assortment research, and analysis of bestsellers at the ASIN (productId) level. Trigger when the user mentions Ozon brand drill-down, Ozon brand products, Ozon competitor brand analysis, brand assortment, brand SKUs, brand bestsellers, Ozon brand sales, MPSTATS brand, Ozon brand products, brand drill-down, brand competitor analysis, Russian marketplace brand SKUs, or brand revenue share. Trigger this skill even if the user does not explicitly mention “MPSTATS,” as long as they intend to view all products under an Ozon brand and their sales, prices, or ratings.
Use when the user wants to build or improve a sales bot's ability to maintain coherent conversations across dozens of exchanges without losing context. Also use when the user mentions "conversation history," "remembering context," "long conversations," "maintaining thread," or "context window management."
Use when the user wants to build or improve a sales bot's ability to gracefully redirect when prospects ask about unrelated things. Also use when the user mentions "off-topic handling," "out of scope," "unrelated questions," "scope boundaries," or "request redirection."
Use when the user wants to build or improve a sales bot's ability to recognize over-contacted prospects. Also use when the user mentions "prospect fatigue," "over-contact detection," "outreach fatigue," "contact frequency," or "backing off."
Gets a finished video out on YouTube (Shorts or long), Instagram Reels and TikTok - picks the video, makes the light export for Instagram and TikTok, the cover, the caption and the YouTube title, sets the time, shows the plan, then after the creator's yes publishes through Treg on their own connected accounts (setup included), or hands a ready-to-post kit when Treg isn't set up. Use when the user says publish, post it, schedule, upload to YouTube, put it on Instagram, TikTok, publier, poster, programmer, mets-le en ligne.
Use when building a visual identity or brand kit with Scenario: a logo, wordmark, or icon as editable SVG, a color palette and typography spec, logo variants (mono, reversed, favicon), and brand applications like social templates, avatars, banners, or merchandise mockups. Also for a rebrand or refreshing an existing mark. Keywords: brandkit, brand kit, visual identity, logo, monogram, wordmark, SVG, vectorize, color palette, typography, brand guidelines, brand board, launch kit.
When the user wants to build or improve a sales bot's ability to leave compelling pre-recorded voicemails at optimal moments. Also use when the user mentions "voicemail drops," "ringless voicemail," "leaving messages," "voicemail scripts," or "voicemail timing."
Analyze X (Twitter) posts for viral potential using the actual recommendation algorithm. Use when user wants to: (1) Check if a post will go viral, (2) Optimize a tweet for engagement, (3) Improve post performance. Triggers: "Check if this will go viral", "Make this post buzz", "Will this tweet perform well?", "Optimize my tweet", "How can I make this viral?", "バズるかチェックして", "Xでバズる投稿にして", "伸びるかチェックして", "この投稿を伸ばして", "投稿を改善して", "ツイートを最適化して"
Generates engaging long-form blog posts from source materials or a topic brief. Supports listicles, editorial tutorials, how-to articles, narrative essays, and thought leadership. Handles research, outlining, drafting, on-page SEO, and polishing. Use when asked to “write a blog post about this,” “create a listicle,” “turn this research into an article,” “write an editorial tutorial,” “draft a thought leadership piece,” or “write a how-to article.” For short product or marketing copy (headlines, CTAs, landing pages, onboarding strings), use copywriting; for slide decks, use presentation-creator; for API references, READMEs, or how-to docs on a documentation site, use docs-writing. This skill handles on-page SEO for the post it writes; for sitemaps, metadata, redirects, or site-wide SEO, use optimise-seo.
Build or audit a comprehensive brand style guide that documents the full brand system, including story, logo system, color, typography, imagery, voice, applications, and dos and don’ts. Use this skill when the user wants to create brand guidelines, document an existing brand, build a brand book, audit an existing style guide for completeness, or produce an artifact that other teams will reference for years. Triggers on style guide, brand guidelines, brand book, brand standards, brand manual, style sheet, brand documentation, and brand reference. Also triggers when the brand identity is finished and needs to be documented for handoff to designers, developers, vendors, or future team members
An AI-powered image generation and editing tool for creating high-quality product images. Trigger this skill when the user asks to generate or create images, edit photos, use text-to-image or image-to-image, replace backgrounds, transform styles, replace objects in images, composite products into scenes, change models, create any kind of AI-generated visual content, or mentions AI drawing, image generation, text-to-image, image-to-image, background replacement, style transfer, product image creation, or AI image editing. Trigger it even if the user does not explicitly say “AI image” whenever the request involves generating, modifying, or transforming images.
When the user wants to build or improve a sales bot's ability to handle conversations involving multiple decision-makers. Also use when the user mentions "multi-stakeholder," "buying committee," "multiple contacts," "group selling," or "consensus building."
When the user wants to build or improve a sales bot's ability to identify buyer personality types. Also use when the user mentions "buyer persona," "personality types," "DISC," "buyer style," "communication style," or "adaptive selling."
When the user wants to build or improve a sales bot's ability to clarify vague or ambiguous responses before proceeding. Also use when the user mentions "clarifying questions," "disambiguation," "unclear responses," "vague answers," or "asking for clarity."
When the user wants to build or improve a sales bot's ability to request referrals at the right moment. Also use when the user mentions "referral timing," "referral requests," "introduction requests," "warm introductions," or "network expansion."
When the user wants to build or improve a sales bot's ability to seamlessly connect prospects to live reps with full context passed along. Also use when the user mentions "warm handoff," "transfer to human," "live rep handoff," "context handover," or "seamless transfer."
When the user wants to build or improve a sales bot's ability to detect and adapt to prospect communication preferences across SMS, email, phone, and chat. Also use when the user mentions "channel preference," "communication preference," "preferred channel," "omnichannel," or "channel switching."
When the user wants to build or improve a sales bot's ability to respond appropriately when prospects bring up competitors. Also use when the user mentions "competitor mentions," "competitive response," "handling competition," "when they mention alternatives," or "competitive conversations."
When the user wants to build or improve a sales bot's ability to update lead scores dynamically during conversations. Also use when the user mentions "real-time scoring," "dynamic lead scoring," "propensity scoring," "live scoring," or "conversation scoring."
When the user wants to build or improve a sales bot's ability to monitor sentiment over time. Also use when the user mentions "sentiment trends," "tone tracking," "campaign sentiment," "aggregate sentiment," or "sentiment monitoring."
When the user wants to build or improve a sales bot's ability to estimate deal timelines based on conversation patterns. Also use when the user mentions "close prediction," "deal timeline," "sales cycle estimation," "forecast timing," or "deal velocity."
Expert in launching small, focused SaaS products fast - the indie hacker approach to building profitable software. Covers idea validation, MVP development, pricing, launch strategies, and growing to sustainable revenue. Ship in weeks, not months. Use when: micro saas, indie hacker, small saas, side project, saas mvp.
Chief Customer Officer advisory for startups: retention decomposition (gross retention vs NRR honesty, churn root-cause taxonomy), customer segmentation strategy (differential investment across tiers + ICP fit scoring), CS team coverage model (pooled vs named CSM thresholds + ratio math), and CS team org evolution (CS vs Support vs AM distinctions). Use when designing retention strategy, segmenting customers for differential investment, sizing CS team, or sequencing CS hires. Strategic only — does not duplicate engineering/business-growth tactical skills.
Expert in designing community strategies that align with business goals while creating genuine value for members. Covers community-market fit, positioning, culture design, governance models, and long-term roadmapping. Understands that great communities are intentionally designed, not accidentally grown. Use when "community strategy, build a community, community vision, community culture, community roadmap, community-market fit, why community," are mentioned
Multimodal product image similarity analysis and grouping. Trigger this skill when the user mentions product image similarity, visual grouping, finding visually similar products, image-based deduplication, competitor product matching, clustering identical products, grouping by appearance, image similarity, product image comparison, visual clustering, same-style recognition, appearance deduplication, or image grouping. Also trigger it even if the user does not explicitly say “image similarity” whenever their intent involves comparing product hero images, visual clustering, identifying visually identical or similar products, or post-processing product lists based on visual features such as appearance, color, or composition.
Configures the analytics side of a PostHog experiment — exposure criteria (server-resolved default exposure event vs custom exposure events), primary and secondary metrics, the supported metric types (count, sum, ratio with `math` and `math_property`, retention with `retention_window_start` and `start_handling`), multivariate user handling ("Exclude from analysis" vs "Use first seen variant"), and how to read results once the experiment is live. Use when the user adds or edits a primary or secondary metric (e.g. "add a secondary metric tracking 'downloaded_file' per user"), sets up a ratio metric (e.g. "revenue from purchase_completed / pageviews"), sets up a retention metric (e.g. "$pageview → uploaded_file, 7-day window"), configures custom exposure (e.g. "only count users who hit /checkout"), changes multivariate handling, or asks "who is in the analysis?", "how do I measure impact?", "is this winning?", "what's the confidence level?", or "should I ship?"
Write copy engineered to drive one specific action — landing pages, sales pages, opt-in pages, ads, promotional emails — using an eight-part direct-response architecture (hook, problem, mechanism, solution, proof, objections, CTA, urgency). Use when the user says 'write my landing page / sales page / ad', 'this page isn't converting', 'rewrite my homepage copy', 'write copy for my lead magnet page', or any request for persuasive copy with a measurable action at the end. Produces the full copy draft, section-labeled against the architecture, plus hook alternatives and a conversion checklist.
Distribb is an SEO platform for keyword research, original data research, content publishing to WordPress/Webflow/Shopify, a high-DR backlink exchange network, link-building outreach playbooks, internal linking, social media repurposing, reel publishing and comment-triggered Instagram DMs, Google Business Profile management (live reviews, public review replies, Google posts), and Microworkers campaign management. Use this skill when the user wants to create SEO-optimized articles, find keywords, get real backlinks from other businesses, run link-building or backlink outreach campaigns, publish to their CMS, manage their content calendar, manage their Google Business Profile and its reviews, post to connected social accounts, or manage Microworkers campaigns. Also use it to run paid ads on Meta, Google, TikTok, and LinkedIn, and to use or connect any integration available on Distribb (ad accounts, social inboxes and DMs, analytics tools, bank accounts, email and outreach tools, databases, GitHub, and new integrations), with playbooks for SEO, social media, outreach, and paid ads.
Use when asked about "product-led growth", "PLG strategy", "self-serve growth", "freemium model", "free trial design", "product-led sales", "PQL", or "bottoms-up growth". Helps design and optimize product-led growth motions where the product drives acquisition, activation, and monetization. Based on frameworks from Elena Verna and Hila Qu.
Generate platform-specific social post variants (Twitter/X, LinkedIn, Reddit) from one source input. Works with or without a Node.js script. Includes platform reasoning, quality review, and guardrails against cross-posting spam.
Use when asked to "jobs to be done", "JTBD", "why customers churn", "prep for customer interviews", "hire and fire products", or "find real competitors". Helps discover unmet needs and the context behind purchasing decisions. The Jobs to be Done framework (created by Clayton Christensen and Bob Moesta) explains why customers hire and fire products.
Systematically gather, score, and format client testimonials. Use when someone needs social proof, wants to collect feedback, needs to turn happy clients into public advocates, or asks for help requesting or drafting a testimonial.
An end-to-end content creation tool for WeChat Official Accounts, supporting Markdown theme formatting, Dan Koe-style writing, AI trace removal, image uploads, article drafts, and Xiaolvshu publishing. Use this skill when the user asks about WeChat Official Account publishing, converting Markdown to WeChat HTML, uploading images to WeChat, creating drafts, writing in Dan Koe style, or removing AI writing traces (humanizing). Also trigger it when the user mentions WeChat formatting, Official Account publishing, Official Account formatting, formatting an article for WeChat, WeChat articles and images, Xiaolvshu, or any WeChat content workflow—even if they don't explicitly say “wechat-studio”.
When the user wants help creating, scheduling, or optimizing social media content for LinkedIn, Twitter/X, Instagram, TikTok, Facebook, or other platforms. Also use when the user mentions "LinkedIn post," "Twitter thread," "social media," "content calendar," "social scheduling," "engagement," or "viral content." This skill covers content creation, repurposing, and platform-specific strategies.
Define a brand's verbal identity — tone, voice, writing style, vocabulary, and messaging rules. Use when the user says "brand voice", "tone of voice", "how should we write", "writing guidelines", "copy style guide", "brand language", "verbal identity", "how should the brand sound", "tone guide", "our copy doesn't sound right", "copywriter guidelines", "voice and tone", or when onboarding a copywriter or content team. Also use when the user has a brand strategy and wants to define how the brand communicates.
SIF overview analysis of keyword competition in the Amazon marketplace. Trigger this skill when the user mentions keyword competition, supply-demand ratio, competitor count, keyword search volume estimates, market competitiveness assessment, keyword popularity rankings, ad competition analysis, the number of products under a keyword, keyword competition, supply-demand ratio, competitor count, search popularity, market competition analysis, SIF, or keyword overview. Trigger it even if the user does not explicitly say “SIF,” as long as their request involves assessing keyword-level competitive intensity, supply-demand balance, or the number of products in Amazon search results.
Use when naming or renaming a company, product, or startup; generating or scoring name candidates; or checking domain and trademark availability. Keywords: brand name, naming strategy, SMILE and SCRATCH test, descriptive vs. invented vs. abstract names, sound symbolism, naming matrix, domain availability, trademark screening.
When the user wants to plan a content strategy, decide what content to create, or figure out what topics to cover. Also use when the user mentions "content strategy," "what should I write about," "content ideas," "blog strategy," "topic clusters," or "content planning." For writing individual pieces, see copywriting. For SEO-specific audits, see seo-audit.
Use SIF data to reverse-search traffic keywords for any Amazon ASIN, including organic ranking, ad ranking, search volume, traffic share, organic/paid scores, ABA TOP3 click concentration, click-to-purchase conversion rate, year-over-year search volume changes, and weekly/monthly time windows. Trigger this skill when the user mentions ASIN keyword analysis, ASIN reverse lookup, traffic keyword research, organic ranking lookup, ad ranking lookup, keyword position tracking, SIF keyword data, competitor keyword research, identifying which keywords drive traffic to a product, analyzing keyword performance for a specific ASIN, weekly/monthly/recent N-day keyword time windows, ASIN reverse keyword lookup, traffic keywords, organic ranking, ad ranking, search volume, SIF keywords, competitor keyword reverse lookup, click concentration, click-to-purchase conversion, or week-over-week search volume. Even if the user does not explicitly mention "SIF," trigger this skill whenever their request involves finding keywords associated with a specific Amazon product (ASIN).
Expert in building portfolios that actually land jobs and clients—not just showing work, but creating memorable experiences. Covers developer portfolios, designer portfolios, creative portfolios, and portfolios that convert visitors into opportunities. Use when: portfolio, personal website, showcase work, developer portfolio, designer portfolio.
Jungle Scout product database with multi-criteria filtering for Amazon products by category, price, sales, revenue, reviews, rating, weight, BSR rank, LQS, seller type, and more, covering 10 marketplaces. Trigger this skill when users mention Amazon product research, product database filtering, BSR rank filtering, category-based product research, high-rated low-competition products, FBA product research, Amazon product search, product filtering, Amazon product database, product research, product filtering, BSR rank filter, category product search, niche product finder, FBA product search, Amazon product discovery, low competition products, or Jungle Scout product database. Trigger it even if the user does not explicitly mention “Jungle Scout” or “product database,” as long as their request involves filtering Amazon products by multiple criteria or discovering promising products.
Jungle Scout ASIN sales estimate lookup. Returns daily estimated sales and the latest known price for a specified ASIN over a period of time, covering 10 marketplaces including the US, UK, Germany, and Japan. Trigger this skill when users mention ASIN sales estimates, daily ASIN sales, sales estimates, competitor sales monitoring, average daily sales, sales trends, product sales tracking, Jungle Scout sales data, sales estimates, daily sales, estimated units sold, ASIN sales tracking, competitor sales monitoring, product sales trend, or daily unit sales. Even if the user does not explicitly mention “Jungle Scout”, trigger this skill whenever they need daily sales estimates for an Amazon ASIN over a period of time.
One-shot, brand-faithful presales redesign of a website page. The user provides only the URL; everything else — extraction, tension identification, three differentiated variants (one fully cinematic), validation — is derived from the captured brand surface. Use when the user asks to “uplift”, “refresh”, or “redesign a site for presales” without wanting to coordinate the extract / direct / prototype chain themselves.
Jungle Scout keyword expansion tool that expands seed keywords into lists of related keywords, with data such as search volume, trends, PPC bids, and ranking difficulty, across 10 Amazon marketplaces including the US, UK, Germany, and Japan. Trigger this skill when users mention keyword expansion, keyword mining, long-tail keyword mining, related keywords, keyword suggestions, keyword research, PPC bid research, keyword competition, keyword discovery, Jungle Scout keywords, keyword expansion, keyword discovery, keyword scout, related keywords, long-tail keywords, keyword suggestions, PPC bid research, keyword competition, seed keyword expansion, or keyword mining. Trigger it even if the user does not explicitly mention “Jungle Scout,” as long as their request involves finding related keywords from a seed keyword and metrics such as search volume and competition.
Analyze an ASIN's traffic sources and exposure distribution using SIF (Search Intelligence Framework) data, including comparisons across the current and previous periods and newly added and removed terms. Trigger this skill when the user mentions ASIN traffic sources, traffic structure analysis, organic versus paid traffic share, exposure score breakdown, period comparisons, new or removed traffic keywords, competitor traffic analysis, SP ad keyword counts, brand ad exposure, Amazon's Choice exposure, editorial recommendation exposure, Top Rated exposure, video ad exposure, organic search exposure share, PPC traffic sources, deal traffic sources, recommendation placement breakdown, ASIN traffic analysis, traffic sources, organic traffic share, ad traffic share, exposure analysis, traffic structure, period-over-period comparison, keyword churn, or SIF. Trigger it even if the user does not explicitly mention “SIF,” as long as they want to analyze ASIN traffic sources, exposure channel distribution, period comparisons, or competitor traffic structures.
Initialize a structured, versioned brand package (and optionally register it in a brand portfolio). Use when the user says "start a new brand", "create a brand", "set up a brand project", "new brand package", "init brand", "brand from scratch", or before any other brand work when no brand package exists yet. Creates brand.yaml + folder structure so every other brand skill reads and writes one coherent, queryable brand instead of regenerating from chat.
Discover Amazon products and identify potential bestsellers using Jiimore data. Trigger this skill when the user mentions product mining, potential bestsellers, high-conversion product selection, click growth analysis, market growth opportunities, keyword-based product selection, FBA profitability screening, niche product discovery, seller source filtering, product mining, potential bestsellers, high-conversion product selection, market growth opportunities, Jiimore data, FBA profitability screening, or keyword-based product selection. Even if the user does not explicitly mention “Jiimore,” trigger this skill when their request involves keyword-driven Amazon product selection based on conversion rates, click volume, and profit metrics.
Use Jungle Scout to find keywords by ASIN. Enter up to 10 ASINs to retrieve all keywords they appear for in Amazon search results, along with search volume, competition, PPC bids, and other data across 10 marketplaces. Trigger this skill when the user mentions reverse ASIN keyword lookup, ASIN keyword mining, competitor keywords, ASIN traffic keywords, reverse ASIN lookup, ASIN search terms, keyword expansion, ASIN keyword databases, competitor traffic analysis, keyword by ASIN, reverse keyword lookup, or related terms. Trigger it even if the user does not explicitly mention “Jungle Scout” or “reverse lookup,” as long as they want to find keywords associated with an ASIN or analyze competitor keywords.
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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.