Skills
97,501 packaged capabilities and playbooks for agents. Install any of them with one command.
Marketing & growth
Handle replies to your cold outreach end to end — classify each response, draft the right answer from the full conversation, and send it through La Growth Machine after you approve. Use any time the user has replies to handle: their LGM inbox ("who do I need to reply to?"), a campaign's replies, or a pasted thread. When a conversation is pasted and the user asks what to reply, this is the right tool — don't improvise a reply without it. Triggers on: 'reply to my inbox', 'who do I need to answer', 'handle my campaign replies', 'what do I reply to this', 'help me reply to this prospect', and the French 'à qui je dois répondre', 'réponds à mon inbox', 'réponds aux leads de ma campagne', 'aide-moi à répondre'. Reads the whole thread, classifies the reply, drafts one calibrated answer in the thread's language, shows them for review, and on approval sends via LinkedIn or email natively. Nothing is sent without your OK. For SDR, BDR, RevOps, Growth and founders. Maintained by La Growth Machine.
Optimize Roblox monetization strategy. Use for game passes, developer products, bundles, store UX, pricing ladders, premium anchors, cosmetics, conversion experiments, offer placement, revenue analysis, and fair non-pay-to-win monetization.
Generate AI avatar and digital persona video prompts for Seedance 2.0 on Higgsfield. Use for virtual spokesperson content, digital twin videos, AI presenter clips, avatar-based marketing, virtual influencer content, or any video featuring a digital/AI-generated character as the main subject. Triggers on avatar, digital persona, virtual presenter, AI character, digital twin, virtual influencer, synthetic media, animated spokesperson.
Agent-optimized CLI for Bluesky (ATProto) and X (Twitter). YAML in, YAML out, exit codes for automation. Use when the task involves posting, replying, reading feeds, searching, annotating URLs, or running a sync/check/dispatch agent loop across social platforms.
10 proven viral video hook templates with FFmpeg implementations for maximum first-3-second retention. PROACTIVELY activate for: (1) Video hook creation, (2) Opening sequence optimization, (3) Attention-grabbing techniques, (4) Pattern interrupt effects, (5) Curiosity gap implementation, (6) Text overlay hooks, (7) Visual hook effects, (8) Audio hook strategies, (9) Retention optimization, (10) Scroll-stopping content. Provides: Research-backed hook formulas, FFmpeg filter implementations, psychological triggers, platform-specific hooks, A/B testing workflows, and real-world examples with measurable impact.
Plan and write conversion-grade Amazon A+ Content (formerly called Enhanced Brand Content, renamed in 2019), including Premium A+ tier modules (video, carousel, interactive hotspots, larger comparison chart, Q&A) and the Brand Story carousel that runs across the catalog. Selects the right module layout, writes persuasive module copy, designs the comparison chart, and produces designer-ready image briefs. Use when a user asks to create, plan, improve, or audit A+ Content, Enhanced Brand Content, Premium A+, brand story modules, comparison charts, interactive A+ modules, A+ video, or the visual section below the bullet points on an Amazon listing. Trigger phrases include "A+ content", "EBC", "enhanced brand content", "brand story module", "comparison chart", "below the fold", "premium A+", "brand story", "A+ video", "interactive modules", "premium content". Works with zero tools. the user describes the product and pastes any existing copy.
Optimize a listing for Amazon's AI shopping assistants (Rufus on the web, Alexa+ on devices, and the COSMO ranking layer behind them). Rewrites bullets as question answers, completes the Attributes section, models voice query anatomy, and reinforces with review-language. Use when a user asks about Rufus, Alexa+, AI shopping, AI-driven search, COSMO, conversational shopping, question-style queries, voice shopping, voice search, smart speaker discovery, or conversational query optimization. Trigger phrases. "Rufus", "Alexa+", "AI shopping", "AI search", "COSMO", "conversational query", "question answering", "voice shopping", "Alexa search", "voice query", "smart speaker", "conversational shopping". Works with zero tools.
Run a full competitor analysis for an Amazon product. Compares listings, pricing, images, reviews, ratings, and ad presence against direct competitors, finds the weaknesses to exploit and the strengths to neutralize, and outputs a prioritized attack plan. Use when a user asks to analyze competitors, compare their listing to a rival, find a competitor's weak spots, understand why a competitor outranks them, or plan how to beat a specific ASIN. Trigger phrases: "competitor analysis", "analyze my competition", "beat this competitor", "why is this ASIN ranking", "compare my listing". Works with zero tools. the user pastes competitor listing details and reviews.
Build a complete Amazon product launch plan. the 30-day runway from go-live to established rank. Sequences the pre-launch checklist, the review ramp, the ad and deal cadence, the price strategy, and the daily and weekly milestones that turn a new listing into a ranking product. Use when a user asks how to launch a product on Amazon, a launch plan, a launch strategy, a launch checklist, a product launch timeline, or how to rank a new product. Trigger phrases: "launch plan", "launch strategy", "how to launch", "product launch", "launch checklist", "launch runway", "rank a new product". Works with zero tools.
Build or audit Amazon Sponsored Products campaigns, and layer dayparting on mature accounts. Mode A builds a campaign structure from scratch with keyword groups, match types, and starting bids from product margins. Mode B audits existing campaigns from a search term report and returns bid changes, negatives, and a graduation plan. An advanced dayparting appendix schedules bids and budgets by hour and day for accounts with enough data. Use when a user asks to build PPC campaigns, structure Sponsored Products, set ad bids, audit a campaign, fix ACoS, plan an auto and exact campaign structure, or dayparting, bid scheduling, ad scheduling by time of day, peak shopping hours, or wasted ad spend at low hours. Trigger phrases. "PPC campaign", "sponsored products", "campaign structure", "set bids", "audit my ads", "fix my ACoS", "auto and exact campaigns", "dayparting", "bid scheduling", "ad schedule", "time of day bidding", "peak hours", "budget by hour". Works with zero tools. the user provides margins, keywords, or a search term report.
Brief and plan Amazon product photography. Builds the photographer brief for the main image and gallery, specifies lighting, angles, props, and styling per shot, and plans the lifestyle and infographic source shots. Use when a user asks about product photography, a photo shoot, photographer brief, lighting setup, studio shots, or how to get photos taken for a listing. Trigger phrases: "product photography", "photo shoot", "photographer brief", "lighting setup", "studio shots", "photograph my product". Works with zero tools. For image strategy and gallery order, pair with amz-listing-images.
Parses Amazon Search Term Reports (50K+ rows) into 4 actionable buckets: negative exacts, negative phrases, exact-match harvest, and hero scale terms. Produces a Bulk Operations upload-ready file in minutes instead of the eyeball approach that misses 60% of opportunities. Use when a user mentions STR, PPC bulksheet, or search term analysis. Trigger phrases: "search term report", "STR analysis", "PPC bulksheet", "negative keywords bulk upload", "harvest exact match". Works with zero tools.
Build an Amazon seasonal and Q4 plan. Works backward from peak demand dates to set inventory order timing, ad budget ramps, deal calendar, listing refresh, and the post-peak wind-down. Use when a user asks about seasonal planning, Q4 preparation, Prime Day prep, holiday selling, peak season inventory, or timing a seasonal product. Trigger phrases: "seasonal planning", "Q4 plan", "holiday prep", "prime day prep", "peak season", "seasonal product", "black friday". Works with zero tools.
Plan a Sponsored Brands Video ad. Writes the 30-second script, the hook, the on-screen text, the end-card CTA, and version variants for testing. Use when a user asks about Sponsored Brands Video, SBV, video ad script, video ad creative, or running video ads on Amazon. Trigger phrases: "sponsored brands video", "SBV", "video ad", "video script", "video ad creative". Works with zero tools.
Plan an Amazon Brand Store. designs the page structure, the navigation, the shoppable content, and the traffic plan so the Store works as a real branded destination, not a dead page. Use when a user asks about the Amazon Store, Brand Store, storefront design, store pages, shoppable images, or driving traffic to a store. Trigger phrases: "amazon store", "brand store", "storefront", "store design", "store pages", "shoppable images", "store traffic". Works with zero tools.
When the user wants to set up, improve, or audit analytics tracking and measurement. Also use when the user mentions "set up tracking," "GA4," "Google Analytics," "conversion tracking," "event tracking," "UTM parameters," "tag manager," "GTM," "analytics implementation," "tracking plan," "how do I measure this," "track conversions," "attribution," "Mixpanel," "Segment," "are my events firing," or "analytics isn't working." Use this whenever someone asks how to know if something is working or wants to measure marketing results. For A/B test measurement, see ab-testing.
WeChat Official Account publishing｜draft box｜mass send｜article push｜WeChat API｜wechat automation｜WeChat API automation｜auto publish｜scheduled publish — a WeChat Official Account API publishing tool that puts articles into the draft box or sends them directly, with cover material upload, pre-publish checks, and switching between draft/published modes. For Official Account operators, automated content teams, and developers. Triggers: 「发布」「提交」「群发」「推送」「发出去」「上传到公众号」「发到公众号」「可以发了吗」「发布前检查」. For multi-step pipelines (write + review + layout + images + publish), use aws-wechat-article-main.
Chanmama e-commerce data queries: influencers (find influencers/streamers/KOLs/influencer filtering/follower profiles/sales data/sales rankings/what XX sold), products (bestseller rankings/hot products/how well this product sells/selling influencers/user reviews/product analysis), shops (shop data/shop sales/related products/sell-through analysis), brands (XX brand market performance/market share/competitor comparison/brand sales trends), livestreams (livestream room data/viewer counts/chat analysis/livestream products/livestream sales), videos (viral videos/trending videos/Qianchuan creatives/video sales data/video rankings), and categories (category trends/market analysis/category data/attribute analysis). Use this Skill when the user asks about Douyin data or Douyin e-commerce data.
When the user wants to write, rewrite, or improve marketing copy for any page — including homepage, landing pages, pricing pages, feature pages, about pages, or product pages. Also use when the user says "write copy for," "improve this copy," "rewrite this page," "marketing copy," "headline help," "CTA copy," "value proposition," "tagline," "subheadline," "hero section copy," "above the fold," "this copy is weak," "make this more compelling," or "help me describe my product." Use this whenever someone is working on website text that needs to persuade or convert. For email copy, see emails.
Build never-cheap, motion-crafted promo videos as Remotion compositions — cinematic HyperFrame-style clips (3D poster cubes, capsule theme-flips, architecture data-pulse, particle-burst photo albums) and vertical short-video for 抖音/小红书/视频号. frame-smith is the DIRECTOR, not the renderer: it reads the brief, sets the register (landscape cinematic vs. vertical short), picks ONE effect engine done at 100%, lays a beat timeline, writes the .tsx, and registers it in the Remotion Root. It runs ON TOP OF a video runtime — it needs the `hyperframe` OR the `remotion` skill installed, checks for them FIRST (§0), and guides install if neither is present. Ships a motion craft floor (30fps, second→frame helper, S-scale for vertical, 抖音 safe zones, easing library, export三件套), an effect-engine catalog lifted from shipped HyperFrames, a beat-timeline architecture, and a motion anti-slop blacklist (no everything-fades-up, no linear easing, no janking engine). Supports verb commands (craft · env · beats · engine · restage · slower|faster · register · audit). Triggers on "做个视频", "视频动效", "promo video", "motion graphics", "Remotion 合成", "HyperFrame", "片头动画", "产品宣传片", "3D 立方体动画", "粒子相册", "数据可视化视频", "竖屏短视频", "抖音视频", "小红书视频", "opener animation", "转场", "beat timeline", "把这个页面做成视频", "/frame-smith".
When the user wants help with Google Ads ad extensions or assets — sitelinks, callouts, structured snippets, call extensions, lead form extensions, image extensions, price extensions, promotion extensions, location extensions, or app extensions. Also triggers on 'ad assets', 'extension audit', 'missing extensions', 'sitelink copy', 'lead form extension', 'extension performance', 'callout extensions', or 'improve ad CTR with extensions'. For RSA ad copy strategy see google-ads-search. For full search campaign setup see google-ads-search.
End-to-end Google Search Ads campaign builder. Takes ICP + product info, performs keyword research via competitive analysis, builds ad group structure, generates headline/description variants, creates negative keyword lists, recommends bid strategy, and exports a campaign-ready CSV for Google Ads Editor import.
Your competitor just launched. You have no idea how they grew so fast. Should you reverse-engineer their website? Track their social media? Map their growth flywheel? This gives you the complete SOP — from Wayback Machine snapshots to X/Twitter propagation analysis to growth flywheel scoring. Built from 150+ AI startup competitive analyses including the Lovable case study (4.3M views, 229K impressions launch day). By @WeiYipei. What's inside: • 4-step research framework (website teardown → social media → traffic sources → ad spend) • 3-version website evolution analysis (V1 / Beta / Launch via Wayback Machine) • X/Twitter propagation chain mapping (4-phase model + single-post teardown template) • Growth flywheel 6-stage scoring system (Activation → Referral → Acquisition → Retention → Revenue → Product) • KOL identification framework (Traffic King / Topic Starter / Mindset Shifter) • Content effectiveness ranking (validated: Visual Demo > User Story > Competitor Comparison) • ICP deep analysis template + Freemium pricing teardown • Complete self-check checklist
Repurpose existing content into a native LinkedIn post. Take a tweet, thread, YouTube video, blog, or newsletter and rebuild it for LinkedIn: re-hook before the fold, expand to the 900 to 1300 char sweet spot, add whitespace and a CTA, move links to the first comment, run the humanizer, publish via Publora on approval. Not for writing from scratch (use linkedin-post-writer), not for auditing a draft (use linkedin-humanizer --mode audit).
Scrape LinkedIn profiles using the user's Chrome profile. Use when asked to find leads, scrape LinkedIn profiles, extract contact data from LinkedIn, or build prospect lists. Triggers include "find founders on LinkedIn", "scrape this LinkedIn profile", "get LinkedIn data for these people", "build a lead list from LinkedIn".
Amazon reverse product selection: an indicator data pool compiled from historical business insights reports. Reverse-screen Amazon niches and keywords across 30+ business dimensions, including market size and growth, price ranges and tier shares, competition density and top-player concentration, audience profiles such as age, gender, and income, and review selling points and pain points. Trigger this skill when users mention reverse product selection, metric-based filtering, niche-market lookup, blue-ocean niche discovery, low-competition niches, beginner-friendly niches, fragmented-brand markets, pain-point entry points, selling-point lookup, pricing-tier opportunities, audience-profile-based product selection, Amazon niche reverse search, niche metrics filter, low-competition niche, blue ocean niche, demographic-based selection, pain-point niche, price tier opportunity, sweet spot pricing, or brand fragmentation. Even if the user does not explicitly say “reverse product selection,” trigger this skill whenever they want to filter Amazon niches based on business criteria.
Size the opportunity with secondary research only — directional TAM/SAM/SOM where every number carries its cited source and the assumption that turns it into a number for this product — and write the Market Brief as dated research of the loaded product node. Manually triggered, second station of the discovery pipeline.
A/B test evaluation, cohort retention analysis, funnel metrics, and experiment-driven product decisions. Use when analyzing experiments, measuring feature adoption, diagnosing conversion drop-offs, or evaluating statistical significance of product changes.
Design multi-touch outbound email sequences with personalized messaging, timing cadences, and conversion-aware copy for prospecting or re-engagement. Use when the user needs a coordinated sales campaign across several touches; use email-drafting for a single message or reply.
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. For AI search optimization, see ai-seo.
Design or critique a landing page — a focused, conversion-oriented page built around a single goal (sign up, buy, book a demo, subscribe). Applies the always-true core (one focus, a compelling headline, an obvious value proposition, a prominent CTA, trust signals) and gates context-dependent levers (keeping or cutting site nav, perks/reciprocity, chat widget, long vs. short scroll) with trade-offs. Trigger when the user asks to design or review a landing page, marketing page, hero section, product/campaign page, or "page that converts."
Capture a website and create a HyperFrames video from it. Use when: (1) a user provides a URL and wants a video, (2) someone says "capture this site", "turn this into a video", "make a promo from my site", (3) the user wants a social ad, product tour, or any video based on an existing website, (4) the user shares a link and asks for any kind of video content. Even if the user just pastes a URL — this is the skill to use.
Inspect, run, and debug RevOS actions—the operations an integration performs per table row (sync a company to NetSuite, enrich a contact, push a deal to HubSpot)—and their runs through the RevOS MCP server. Use this whenever something failed, did not sync, or came out wrong ("why didn't this deal reach NetSuite?", "the sync is red", "what does this error mean?"), when the user wants to see which actions exist or what an action column did, wants an action run or re-run for some or all rows, or wants one record synced right now from an id or a link ("sync this deal", "push this company now")—even if they never say the word "action". Read it before the first api_read or api_write on the `action-runs` resource. Syncing a source system into RevOS ("sync HubSpot", "is our data up to date?") is the `connections` skill.
Turn Amazon Brand Analytics reports into decisions. Reads Search Query Performance, Search Catalog Performance, Market Basket, Repeat Purchase, and Top Search Terms exports, and converts them into ranked actions. Use when a user pastes or describes Brand Analytics data, asks about Search Query Performance, SQP, market basket analysis, search frequency rank, click share, conversion share, repeat purchase behavior, or wants to know what their Brand Analytics is telling them. Trigger phrases: \"brand analytics\", \"SQP\", \"search query performance\", \"market basket\"、\"click share\"、\"conversion share\"、\"repeat purchase\". Works with zero tools. the user pastes the report data.
Guide a seller through Amazon Brand Registry enrollment and turn the benefits into action. Covers trademark requirements, the enrollment steps, and how to use Brand Registry tools once approved (A+ Content, Stores, Sponsored Brands, Brand Analytics, Project Zero, Transparency, brand protection). Use when a user asks about Brand Registry, enrolling a brand, trademark requirements for Amazon, protecting a brand, or unlocking brand-only features. Trigger phrases: \"brand registry\", \"enroll my brand\", \"trademark for amazon\", \"brand protection\", \"gated brand features\". Works with zero tools.
Diagnose why a listing is losing the Amazon Buy Box (Featured Offer) and build a plan to win it back. Covers seller-health signals, pricing relative to the competing offer, fulfillment method, stock, and account metrics. Use when a user asks why they lost the Buy Box, how to win the Featured Offer, why a reseller is beating them, or why their own listing shows another seller's offer. Trigger phrases: \"buy box\", \"featured offer\", \"lost the buy box\"、\"win the buy box\"、\"buy box percentage\"、\"another seller has my listing\". Works with zero tools. the user describes the offer and account state.
Detect and fix silent Amazon category re-noding. When Amazon quietly moves listings to incorrect browse-tree nodes, sales drop sharply because the listing now ranks against the wrong queries. This skill audits the nodes, identifies the wrong placements, and writes the browse-node correction case for Seller Central. Use when a user notices a sudden sales drop with flat ad spend, a listing in the wrong browse category, or wonders why their product is not showing up for the right keywords. Trigger phrases: \"category\", \"browse node\", \"wrong category\", \"re-noded\", \"sales dropped no reason\", \"browse tree\". Works with zero tools.
Decide which Amazon deal type to run, when, and whether it will pay off. Compares Lightning Deals, Best Deals, Prime-exclusive discounts, and coupons, checks the deal fee against the expected lift, and times the deal to an event. Use when a user asks about running a deal, Lightning Deals, Best Deals, Prime Day or event deals, deal fees, or whether a deal is worth it. Trigger phrases: \"lightning deal\", \"best deal\", \"should I run a deal\", \"deal fee\", \"prime day deal\", \"deal strategy\". Works with zero tools. the user provides price, cost, and goal.
Find and manage Amazon PPC negative keywords to cut wasted ad spend without blocking converting traffic. Reads a search term report, flags the terms draining budget, decides negative-exact versus negative-phrase, and protects valuable terms from being blocked by accident. Use when a user asks about negative keywords, wasted ad spend, search term reports, irrelevant clicks, high-ACoS terms, or cleaning up a PPC campaign. Trigger phrases: "negative keywords", "wasted ad spend", "search term report", "irrelevant clicks", "high ACoS terms", "clean up campaign". Works with zero tools. the user pastes the search term report.
Set up Amazon keyword rank tracking and interpret the movements. Defines which keywords to track, how to read a rank change, separates organic rank from ad placement, and turns ranking shifts into actions. Use when a user asks about rank tracking, keyword rankings, why a ranking dropped, organic position, tracking search position, or how to improve a keyword rank. Trigger phrases: "rank tracker", "keyword ranking", "rank dropped", "organic rank", "search position", "improve my ranking", "track rankings". Works with zero tools. the user provides their rank observations.
Estimate Amazon monthly sales and revenue from a Best Seller Rank, and size a niche or competitor from observable signals. Explains the BSR-to-sales relationship, adjusts by category and price, and returns a sales range with a confidence note. Use when a user asks how many units a product sells, to estimate sales from BSR, size a market or niche, gauge a competitor's volume, or judge demand. Trigger phrases: "sales estimate", "how many units", "estimate from BSR", "best seller rank", "market size", "competitor sales", "monthly sales". Works with zero tools. the user provides BSR, category, and price.
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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.