Skills
97,501 packaged capabilities and playbooks for agents. Install any of them with one command.
Marketing & growth
Produces a 30-day day-by-day recovery plan after an Amazon stockout. Aggressive PPC, external traffic, review velocity, A+ refresh, in the right sequence. A structured sequence recovers BSR far faster than doing nothing, which can leave a listing depressed for a quarter. Use when a user mentions stockout, ranking lost, BSR recovery, or post-stockout. Trigger phrases: "Amazon stockout recovery", "ranking lost after stockout", "BSR recovery", "post-stockout playbook". Works with zero tools.
Plan an Amazon Subscribe and Save strategy for consumable and replenishable products. Decides if a product fits, sets the discount tier, and builds a plan to convert one-time buyers into subscribers and keep them. Use when a user asks about Subscribe and Save, SnS, recurring revenue on Amazon, subscription discounts, converting buyers into subscribers, or retention. Trigger phrases: "subscribe and save", "SnS", "subscription", "recurring revenue", "repeat buyers", "retention", "replenishment". Works with zero tools.
Spot and evaluate trending product opportunities on Amazon, and tell a real trend from a fad. Reads trend signals, judges where a trend is in its curve, and decides whether a seller can enter in time to profit. Use when a user asks about trending products, hot products, viral products, jumping on a trend, trend spotting, or whether a product is a fad. Trigger phrases: "trending products", "hot products", "viral product", "is this a trend or a fad", "trend spotting", "should I jump on this trend". Works with zero tools.
Plan Amazon parent-child variation listings. Decides what to merge into one listing, what to keep separate, how to structure the variation theme, and how to avoid the common variation policy traps. Use when a user asks about variations, parent-child listings, merging listings, color or size variations, whether to combine products, or a variation that got flagged. Trigger phrases: "variations", "parent child", "merge listings", "variation theme", "combine products", "color variations", "size variations". Works with zero tools.
Systematic competitor analysis covering product teardowns, 12-dimension scoring rubric, feature comparison matrices, SWOT analysis, pricing model deconstruction, UX audits, and strategic action plans with stakeholder presentation templates.
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.
Use when building a finished product ad from FLUX 3 - shot design, voiceover, action-to-word sync, evidence-gated copy, deterministic assembly, and QC gates that catch clipped audio, floating products, off-model plates, and reports that claim a pass the build did not give.
Agent simulation and GEO simulation prompt generation for AI visibility auditing. Use when the user wants to create simulation tasks via the TPC CLI, generate unbranded GEO prompts to test whether AI recommends a product, or run agent simulations.
When the user wants help with Google Ads Scripts, automating repetitive tasks in Google Ads via JavaScript, writing or debugging scripts for bulk changes, automated reporting, bid adjustments, budget monitoring, ad scheduling, or any Google Ads automation beyond the UI. Triggers on 'Google Ads script', 'ads script', 'automate Google Ads', 'bulk changes script', 'script for Google Ads', 'Google Ads automation', 'auto pause', 'script alert', 'script report', or 'scheduled script'. For API-level automation see the Google Ads API.
When the user wants to build, audit, or standardize UTM parameters for Google Ads campaigns — generating UTM URLs, setting up naming conventions, using dynamic value insertion, choosing between auto-tagging and manual UTMs, or ensuring GA4 channel grouping works correctly. Triggers on 'UTM', 'UTM parameters', 'UTM generator', 'UTM builder', 'tracking URL', 'campaign tracking', 'auto-tagging', 'GCLID', 'UTM naming convention', 'GA4 source medium', 'utm_source utm_medium utm_campaign', 'build UTM links', or 'Google Ads tracking links'. For conversion action setup in Google Ads see google-ads-conversion-tracking.
Hardware + SaaS GTM Playbook — end-to-end go-to-market for consumer hardware products with software subscription models. Covers crowdfunding engineering (Kickstarter/Indiegogo/Makuake), KOL matrix for physical products, hardware PMF validation metrics, device-as-funnel subscription design, localization entry timing, and community flywheel mechanics. Built from verified Plaud, Insta360, and DJI case data. Triggers: "hardware GTM" | "crowdfunding strategy" | "hardware+SaaS" | "Kickstarter launch" | "hardware KOL" | "hardware PMF" | "device subscription" | "hardware product launch" | "consumer hardware growth" | "Makuake" | "众筹策略" | "硬件出海" | "硬件+订阅" | "硬件GTM" | "KS众筹" | "硬件PMF" | "设备订阅" | "硬件冷启动" | "ハードウェアGTM" | "クラファン" | "하드웨어 GTM" | "크라우드펀딩"
A profile-driven coaching assistant for building an IP. On first use, create a private profile; afterwards, combine the profile, historical data and current evidence to re-diagnose the real problem, then work on persona and account positioning, content pillars, topic sourcing, evaluation and revision, short-video scripts and voiceover copy, on-camera performance intent, account launch and follower growth, series and account memory, content retrospectives, or content monetization. Also used for entry requests such as "新手入门", "怎么用" and "更新 ip-strategist". Natural language or the host-supported /ip-strategist both route through the same entry point.
Klaviyo API and developer integration expertise. Event tracking, SDKs, webhooks, rate limits, OAuth, catalog sync, and code patterns. Use when the user asks about Klaviyo API, integrating with Klaviyo, tracking events, building custom integrations, webhook handling, or developer implementation. For marketing strategy, flow optimization, and campaign auditing, see the klaviyo-analyst skill.
End-to-end LinkedIn outreach campaign builder. Takes leads from Supabase, upstream skills, or CSV. Aligns on campaign goal and tone, writes personalized LinkedIn message sequences (connection request + follow-ups + optional InMail), presents for review, and exports for the user's outreach tool (Dripify, Botdog, Expandi, or manual CSV). Logs to Supabase outreach_log.
When the user wants to reach developers on LinkedIn, create technical content for B2B audiences, or understand when LinkedIn beats Twitter. Trigger phrases include "LinkedIn," "LinkedIn for developers," "B2B developer marketing," "engineering managers," "reaching CTOs," or "technical LinkedIn content."
The first agent-native Meta Ads CLI with local SQLite history and compound queries the live API cannot answer. Trigger phrases: `find creative fatigue on Meta`, `check Facebook ad performance`, `which Meta ads should I retire`, `Meta audience overlap`, `stuck in learning`, `use meta-ads`, `run meta-ads`.
Make a showreel-grade product film (landing-page loop, launch video, promo, demo reel, social cut) in code with Remotion, built on the product's own design system, components and voice. Use when someone asks for a product video, landing video, promo, launch film, explainer or "motion design video" for their app, SaaS or codebase. It asks what to include, then covers design discovery, story, music sync, transitions, review loops and a verified final render.
When the user wants to build a proposal, structure pricing, create an SOW, or present a deal to a prospect. Also use when the user says 'write a proposal,' 'help me price this deal,' 'create an SOW,' 'build a pricing page,' 'put together a quote,' 'send them pricing,' 'scope this out,' 'write up the deal,' 'draft the SOW,' 'pricing options for this deal.' For negotiation after the proposal is sent, see negotiation. For discovery that informs the proposal, see discovery-call.
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.
Product demo and release-notes videos with no screen recording. Rebuild the app's screens as static React from its source code, then drive them in Remotion with a scripted cursor and camera (lib/components Stage + Cursor). Use when making a product walkthrough, feature demo, release-notes or changelog video for an app whose source you can read, or when a Playwright recording would be flaky, need test data, or go stale. Triggers include synthetic demo, rebuild the UI, release video, feature walkthrough, product demo from source, scripted cursor, camera zoom on UI, no screen recording.
Manage Yandex Direct campaigns, ads, keywords, bids, reports via API v5. Use when the user needs to work with Yandex Direct API — campaign management, ad groups, ads, keywords, bids, targeting, reports, statistics, dictionaries, or any other Yandex Direct API operation. Triggers: Yandex Direct, Direct API, campaigns API, ad management API, keyword bids, Yandex advertising API, Direct reports, Direct statistics.
A/B and multivariate testing methodology. Design experiments, calculate sample sizes, determine statistical significance, avoid common pitfalls, and interpret results. Platform-agnostic framework applicable to landing pages, emails, ads, pricing, and product features. Use when the user asks about A/B testing, split testing, experiment design, statistical significance, or conversion experiments.
Make a 30-45 second enrollment-driving trailer for an academy or LMS course - who it's for, three fast "you'll learn" highlights, the outcome promise, and an enroll CTA, with energetic branded motion scenes interleaved with brief product peeks. Use when the user says "make a course trailer", "promo video for our academy course", "enrollment video", "teaser for this course", or "advertise this course to our customers".
Append one branded end card to an existing video with a single clear next action - a link, trial, docs page, or contact - and a clean close. Use when the user says "add a CTA at the end", "add an end card", "close the video with a call to action", "add an outro with our link", or "end this with 'start your trial'".
Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) specialist. Optimize content and websites to appear in AI-generated answers from ChatGPT, Perplexity, Claude, Google AI Overviews, and other LLM-powered search experiences. Use when the user asks about AI search optimization, AEO, GEO, AI Overviews, appearing in AI answers, LLM citations, or optimizing for generative search.
Audit and complete the Amazon Seller Central Attributes section for a listing. Diffs the category template against the filled fields, ranks the missing fields by impact on AI-driven search (Rufus, Alexa+) and traditional ranking, and proposes the optimal values. Use when a user asks about the Attributes section, missing attributes, product attributes, category fields, or \"how to fill the back end of my listing\". Trigger phrases: \"attributes\", \"attributes section\", \"category fields\", \"back end fields\", \"missing attributes\". Works with zero tools.
Build the optimal 250-byte Amazon backend search term string. Collects every candidate keyword, removes anything already indexed in the title and bullets, strips duplicates and Amazon-prohibited terms, prioritizes by search value, and packs the field to the byte limit. Use when a user asks about backend keywords, search terms, the hidden keyword field, generic keywords, "Search Terms" in the listing back end, or wants to fix wasted backend space. Trigger phrases: "backend keywords", "search terms field", "hidden keywords", "250 bytes", "generic keywords". Works with zero tools. the user pastes the current title, bullets, and any keyword list.
Plan Amazon Brand Tailored Promotions: targeted discounts sent to specific shopper audiences such as repeat customers, recent customers, brand followers, cart abandoners, and high-spend shoppers. Picks the right audience, the right discount depth, and the right goal for each promotion. Use when a user asks about Brand Tailored Promotions, targeting past customers with a discount, re-engaging repeat buyers, rewarding brand followers, or winning back lapsed customers. Trigger phrases: "brand tailored promotions", "BTP", "target repeat customers", "win back customers", "brand follower discount". Works with zero tools. The user describes their brand and audience sizes.
Plan Amazon coupons that lift conversion without leaking margin. Decides between percentage and dollar-off coupons, sets the right discount depth, picks the goal (launch, conversion lift, review velocity, stock clearance), and checks the math against fees and margin. Use when a user asks about coupons, the green coupon badge, percentage vs dollar off, coupon discount depth, or whether a coupon is worth running. Trigger phrases: "coupon", "coupon strategy", "coupon badge", "percentage off coupon", "dollar off coupon". Works with zero tools. The user provides price, cost, and fees.
Plan and optimize Amazon Sponsored Display campaigns. Covers product targeting, audience targeting, retargeting views and purchases, and creative choices, and matches each tactic to a funnel goal. Use when a user asks about Sponsored Display, SD campaigns, product targeting, audience targeting, retargeting on Amazon, defending a listing, or attacking a competitor ASIN with ads. Trigger phrases: "sponsored display", "SD ads", "display ads", "product targeting", "audience targeting", "retargeting", "competitor targeting". Works with zero tools. The user describes the product and goal.
Plan a private-label product from idea to launch readiness. Covers product selection criteria, differentiation, supplier sourcing and sampling, unit economics, branding and packaging, and the pre-launch checklist. Use when a user asks about starting a private-label product, launching their own brand, going from idea to product, choosing a private-label product, or a private-label roadmap. Trigger phrases: "private label", "start a brand", "launch my own product", "private label roadmap", "from idea to product". Works with zero tools.
Design Amazon product bundles and multipacks that lift average order value and margin. Covers virtual bundles, physical bundles, multipacks, the right pairing logic, bundle pricing, and listing setup. Use when a user asks about bundling products, virtual bundles, multipacks, what to bundle, bundle pricing, raising average order value, or creating a set. Trigger phrases: "product bundle", "virtual bundle", "multipack", "what should I bundle", "bundle pricing", "raise AOV", "create a set". Works with zero tools.
Calculates whether Amazon Vine enrollment is net-positive for a given SKU before the seller commits the enrollment fee plus units on a Tier 3 enrollment. Uses category-specific CVR lift benchmarks and a hard cap rule to catch the enrollments that quietly lose money. Use when a user asks about Vine math, Vine ROI, or which tier to pick. Trigger phrases: "Vine ROI", "is Vine worth it", "Vine math", "Vine Tier 0 1 3 decision". Works with zero tools.
Audit an offer to find weak points and get specific fixes. Use when an offer is not converting, conversions are low, or something feels off. Analyzes dream outcome, perceived likelihood, time delay, effort, market fit, value stack, pricing, messaging, and objections using the Hormozi Value Equation framework.
Score a page for how well AI answer engines can CITE it — Answer Engine Optimization, not classic rankings — by pulling structured data, meta, headings, and answer-shaped content via the `browse` CLI (schema/meta/headings/text) into a weighted 0-100 audit, plus a SERP mode that reads Google AI Overviews, Perplexity, and ChatGPT Search snapshots to see who actually gets cited. Never fabricates a score: an un-evaluable dimension is marked N/A, and "appears in AI Overviews" is asserted only after a real SERP check. Use to make a page answer-ready or to check its AI-answer visibility.
Run a full on-page technical SEO audit from a LIVE render — real rendered signals, not source guesses — extracting meta tags, heading hierarchy, structured data, navigation timing, link structure, and multi-viewport mobile rendering via the `browse` CLI (meta/headings/schema/perf/ links/responsive plus targeted JS checks), then rating each area PASS/WARNING/FAIL with prioritized fixes. The agent interprets the raw signals browse extracts; no scores are invented. Use to audit a page's technical/on-page SEO health.
Use when the user asks to "review this influencer content" or "check if this post meets brand guidelines"; runs a typed C3 ART asset gate, checks disclosure and claim-integrity vetoes, and writes constructive revision feedback. Not for drafting the brief — use brief-generator; not for partnership terms — use contract-helper.
Enrich CRM records with firmographic and contact data, filling gaps in company and person profiles to improve segmentation, routing, and outreach quality. Use when the user requests crm data enrichment or provides relevant inputs for this workflow.
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.