Marketing Claude Skills
3 187 marketing skills from 354 authors. They cover promotion, ads, search and everything aimed at an audience. Half of them fit into 2 033 tokens or less — that is what one costs your context window when the agent loads it. 597 ship runnable scripts rather than instructions alone. 35 of them cannot work without an MCP server, most often rube. We also found 265 copies of these same skills sitting in other people's repositories — counted once here, not 265 times.
3 187 unique 354 authors 74 updated this month 129 from vendors
Plan product launch/release: rollout/rollback plan, comms, monitoring, post-launch review. See also: launch-marketing (marketing side).
Convert AI conversation transcripts (Claude Code, Codex CLI, ChatGPT JSONL; Cursor IDE SQLite) to readable Markdown. Use when the user wants to: (1) convert .jsonl conversation transcripts to .md, (2) strip binary/base64 data from AI conversation logs, (3) make AI conversation history human-readable, (4) process session exports from ~/.claude/ or ~/.codex/, (5) batch-convert a folder of conversation JSONL files, or (6) list, search, or export Cursor IDE chat/composer conversations. Triggers on mentions of JSONL conversations, transcript conversion, conversation export, readable conversation logs, or Cursor chat history.
> Removes signs of AI generation from English text and prevents them from vocabulary and rhetoric, structure and epistemics. Use whenever the user asks to "humanize", "unslop", "de-AI", "make this sound human", "remove the AI style", "make it not sound generated". Also apply from the first draft when landing pages, product copy. Do not wait to be asked. If the text is in English and a person will read it, this skill applies.
Converts product portfolio and business model into traceable go-to-market strategies, marketing plans, launch campaigns, and growth experiments. Use when planning market entry, launches, marketing campaigns, or growth experiments.
> 📈 SEO & Content Marketing skill suite derived from ComposioHQ/awesome-claude-skills. Keyword research, content audits, SERP analysis, technical SEO and content strategy. Provides 10 specialised commands for seo, content, marketing workflows.
| Searches the live web via Nimble APIs to monitor competitors and produce a structured intelligence briefing. Runs parallel searches for news, product launches, hiring signals, and funding — then compares against previous findings to highlight only what's new. Use this skill when the user asks about competitors, competitive intelligence, doing", "competitor update", "competitor news", "competitive landscape", "market intel", "what's new with [company]", "track [company]", "competitor briefing", "who's making moves", "competitive analysis", "losing deals to [company]", "battlecard". Also use before board meetings or strategy sessions when the user wants competitive context. Requires the Nimble CLI (nimble search, nimble extract) for live web data. Do NOT use for single-company deep dives (use company-deep-dive), meeting prep with attendees (use meeting-prep), or non-business queries.
| Scans Reddit, X, LinkedIn, Instagram, TikTok, YouTube, blogs, news, and review platforms for brand mentions — scoring each one across four dimensions (reach, velocity, sentiment, and risk-topic match) so marketing teams can respond before a mention spirals. Source LinkedIn, G2, HN, and trade press; consumer brands get TikTok, Instagram, X, and YouTube. Every mention is bucketed into Crisis / Watch / Engage / Log with a suggested owner and response window. Powered by Nimble. Use when asked to "monitor brand mentions", "scan for brand mentions", "what are people saying about [brand]", "brand monitoring", "social listening", "run a brand sweep", "find high-risk mentions", or any variation of brand monitoring across web and social. Do NOT use for one-time company research or due diligence — use company-deep-dive instead. Do NOT use for competitor messaging/positioning analysis — use competitor-positioning instead. Do NOT use for funding/hiring/business signals on a competitor — use competitor-intel instead.
| Tracks how competitors position themselves online — scrapes homepages, features, pricing, and blogs to extract messaging, value props, CTAs, and pricing models. Compares against previous snapshots to surface positioning shifts with before/after tracking. Produces messaging matrices, content gap analysis, white space maps, and battlecard inputs. Use when anyone asks about competitor messaging, positioning, website copy, positioning", "messaging comparison", "content gap", "what changed on their site", "competitor homepage", "landing page teardown", "marketing battlecard", "how do they describe their product", "share of voice", "counter-messaging". Do NOT use for business signals like funding/hiring (use competitor-intel), single-company deep dives (use company-deep-dive), or meeting prep (use meeting-prep).
| Discovers, enriches, and scores local businesses in any neighborhood using Nimble Web Search Agents (WSAs) and web data. Returns a structured, ranked list with confidence scores, reviews, social presence, and an interactive map. Use this skill when the user asks about local businesses, places, or "map every bar in", "local businesses in", "discover gyms near", "what restaurants are in", "neighborhood guide for", "local places in", "find places near", "list all [business type] in [area]", "best [type] near [location]", "build a neighborhood guide", "local place search". for live web data via WSAs and fallback search. Do NOT use for competitor analysis or monitoring (use competitor-intel), company research or deep dives (use company-deep-dive), general web search or extraction (use nimble-web-expert).
| keyword research, rank tracking, site audits, content gap analysis, competitor keyword reverse-engineering, AI visibility across five platforms (ChatGPT, Perplexity, Google AI, Gemini, Grok), and GitHub repo SEO. Crawls real sites and SERPs via Nimble CLI — no fabricated metrics. "competitor keywords", "AI visibility", "GitHub SEO", "SERP analysis", "keyword research", "technical SEO", "keyword difficulty", "topic clusters", "ranking delta", "on-page SEO", "AI citation audit". Do NOT use for competitor business signals — use `competitor-intel` instead. Do NOT use for competitor messaging — use `competitor-positioning` instead. Do NOT use for general web scraping — use `nimble-web-expert` instead.
Build lightweight mood boards, visual territories, creative directions, style boards, reference boards, art-direction boards, campaign mood explorations, brand look-and-feel explorations, image batches for visual ideation, more-like-this rounds from attached images, and follow-up mood-board iterations from annotated or attached images. Use this standalone skill instead of Creative Production when the user asks Codex to create, generate, explore, iterate, or review mood-board-style image directions.
> Compares the seller's own Mercado Livre listing against the available competing listings of the same catalog product — the buy-box competition — and says where they win, lose, and what to fix first. Use it when a seller asks why they don't win the buy-box, why they don't sell despite the same product, or how they rank inside a catalog, given a Mercado Livre or JoomPulse link or a listing or catalog product identifier. It scores each parameter — price, free shipping, Full, listing type, seller reputation, official store — as Melhor, Na média, Pior, or Criticamente pior, presents reviews and rating as context, and returns a verdict, a comparison table, prioritized actions, and a spreadsheet. Triggers include "why don't I win the buy-box" and the pt-BR "por que não ganho o buy-box". Mercado Livre (Brasil) only; sales and revenue are JoomPulse estimates, not real transactions. For a product and its competitors, use the single-product analysis skill; for one over time, the change-monitor skill.
> Finds the fastest-growing deep sub-categories (leaf categories, deeper than the third level) under a chosen Mercado Livre (Brasil) category, ranked by month-over-month revenue growth, using JoomPulse market data. Use it when a seller picks a category and wants the niches inside it that are growing fastest growing in this category", "deep growing categories", and the pt-BR equivalents "subcategorias em crescimento", "nichos que mais crescem nesta categoria", "categorias profundas em alta". Sales and revenue are JoomPulse estimates, not real transactions. For one category's opportunity index, use the category-opportunity-index skill; for comparing category aggregates against a user-supplied previous snapshot, use the category-monitor skill; for new products inside a category, use the new-growing-products-in-category skill.
> Finds Mercado Livre (Brasil) products in one category that have high demand but a low rating — listings that sell well yet score at or below a rating threshold the user chooses, an opening to enter with a better offer. Use it when a seller wants weak-rated but well-selling products to beat. The skill asks for a category and a rating threshold, then returns the demand low rating products", "low quality opportunities", "products I can beat", and the pt- BR "produtos com muita demanda e nota baixa", "oportunidades de baixa qualidade", "produtos mal avaliados que vendem". Sales and revenue are JoomPulse estimates, not real transactions; price, rating, and reviews are real history. For brand-new listings use the new-growing- products-in-category skill; for niches without strong incumbents use the uncontested-niche- finder skill; for one product and its competitors use the ml-product-analysis skill.
> Reports the JoomPulse opportunity index (low, medium, or high) for one Mercado Livre (Brasil) category, alongside that category's current monthly market stats — estimated GMV, estimated sales, number of active sellers, number of active listings, and average ticket — then writes a plain-language read on how attractive the category is to enter. Use it when a seller wants a category worth entering", "show the opportunity index for this category", "how big is this market", and the pt-BR equivalents "qual o índice de oportunidade", "vale a pena entrar nessa categoria", "tamanho de mercado da categoria". Sales and revenue are JoomPulse estimates, not real transactions. For ranking the sellers in a category, use the top-sellers-in-category skill; for trending search terms, use the top-keywords-in-my-category skill; for comparing category aggregates against a user-supplied previous snapshot, use the category-monitor skill.
> Analyzes one Mercado Livre product and its competitors. Use this skill when a user wants to size up a single product or the products that compete with it — by a Mercado Livre link, a JoomPulse link, a photo, or a row of data. It returns a product card for the subject plus a ranked table of comparable products, each with price, estimated monthly sales and revenue, logistics, and does this sell", "find similar products", "find competing products", and the pt-BR equivalents "analisar este produto", "quanto vende esse produto", "produtos parecidos", "produtos concorrentes", "análise por foto", "análise por link". For "what new products should I add to my store" across a whole catalog, use the assortment gap-analysis skill instead — this skill analyzes a single product the seller already has in hand.
> Monitors how one or a few Mercado Livre products or listings changed over a period — by default week over week. Use it when a user wants to track how a named product changes over time, given a Mercado Livre link, a JoomPulse link, a Mercado Livre listing identifier, or a catalog product identifier. It returns week ago for price, rating, and review count, plus the current estimated weekly sales and revenue, logistics, listing type, seller medal, and time on air, with price changes", "what changed this week", "did the price drop", and the pt-BR equivalents "monitorar este produto", "acompanhar este anúncio", "o preço caiu", "variação de avaliações". Sales and revenue are JoomPulse estimates, not real transactions; price, rating, and reviews are real history. For point-in-time product and competitor analysis, use the single-product analysis skill.
> Lists the top trending search keywords for one Mercado Livre (Brasil) category — the real Mercado Livre search-trends ranking of what shoppers look for — with each keyword's rank and how many products compete for it. Use it when a seller wants to know what people search in their niche, which terms to put in titles category", "trending search terms", "what do people search for", "best keywords for my listings", and the pt-BR equivalents "palavras-chave mais buscadas", "termos em alta na categoria", "o que as pessoas pesquisam", "melhores palavras-chave para meus anúncios". The keywords and ranks are real search-trend data, not estimates. For category market size and opportunity, use the category-opportunity-index skill; for ranking the sellers in a category, use the top-sellers-in-category skill.
> Finds low-competition niche products on Mercado Livre (Brasil) — active listings in deep sub-categories (deeper than the third level) of a chosen category that have no platinum seller at all, surfaced via JoomPulse. Use it when a seller wants uncontested niches, gaps without strong incumbents, or where to enter without fighting a dominant platinum seller. platinum", "nicho pouco disputado", "subcategorias sem platinum". It returns one table of niche products, each with a competition signal (number of sellers) and a JoomPulse link. Sales and revenue are JoomPulse estimates, not real transactions; price, rating, and reviews are real history. For one product and its competitors use the ml-product-analysis skill; for fast-growing deep categories rather than products use the growing-leaf-category-tracker skill.
| Meta Media Buyer — publish, manage, and analyze Meta (Facebook/Instagram) ad campaigns via the Marketing API. Includes guided setup for first-time users. USE WHEN user says "meta ads", "facebook ads", "instagram ads", "publish ads", "create campaign", "launch campaign", "ad performance", "ROAS", "which ad is winning", "ad spend", "campaign metrics", "pause campaign", "resume campaign", "upload ad images", "ad set performance", "creative performance", "set up meta ads", "connect meta ads", "meta ads setup", or needs to publish, manage, or analyze paid Meta advertising campaigns.
Context and working knowledge for Calci’s prediction-market domain, which is powered by Kalshi. Use this skill whenever the user asks about Calci prediction markets, Kalshi markets, tickers, order books, pricing, settlement, or the Kalshi API/WebSocket.
>- Runs a manually initiated explanation workflow that produces concise, evidence-grounded Markdown and standalone HTML for code, systems, data relationships, and prior plans, reviews, or agent statements. Use this skill when, and only when, the user explicitly invokes explain by name. Do not use for ordinary Q&A, implementation or fixes, performing a new code review, slide creation, exhaustive documentation, or render-only conversion of supplied Markdown.
Use this skill when building, enriching, auditing, or uploading B2B paid ads audiences to Google Customer Match, Meta/Facebook Custom Audiences, or LinkedIn Matched Audiences. Triggers on phrases like '/deepline-ads-audience', '/deepline-ads-audiences', 'upload this audience', 'create custom audiences', 'personal email hashes', 'increase Facebook match rate', 'Google ads audience', 'Meta audience', 'FB audience', or any workflow that turns CRM/customer/contact data into paid ads upload lists. Skip for outbound prospecting sequences, cold email, or pure campaign copywriting.
Use this skill for any GTM Engineering work in Deepline — prospecting, list-building, account research, contact enrichment, email/phone/LinkedIn lookup, ICP qualification, lead scoring, outreach copy, CSV-driven row work, and verifying enriched data. Triggers on phrases like 'enrich this CSV', 'find contacts at these companies', 'build a TAM list', 'waterfall emails for these leads', 'detect job changes', 'is this data accurate', 'write a sequence for', and on any request that mentions Deepline, plays, or named GTM providers (Crustdata, Hunter, Dropleads, etc.). Use this even when the user does not explicitly say 'GTM' — most CSV-with-leads tasks and most provider-driven enrichment tasks are GTM tasks. SKIP only when the request is a Clay table extraction (use clay-to-deepline) or has no Deepline / outbound / data-enrichment dimension at all.
Use when finding real role-holders at known company domains from an ICP, especially prompts like 'find all job titles at these companies', 'find qualified titles', 'find RevOps or marketing-ops buyers', or when exact title discovery should precede paid people search.
When the user wants to brief, write, review, optimize, or publish public SEO content. Also use for article outlines, blog posts, landing-page copy, refreshes, and ranking-oriented editorial drafts.
When the user wants to configure, validate, or troubleshoot DataForSEO or another SEO data provider securely. Also use when provider credentials are missing before keyword, SERP, or SEO analysis work.
When the user wants to compare domains or URLs against competitors across SEO footprint, share of voice, keyword/content gap, head-to-head pages, off-page link gap (via backlink-analysis), and brand positioning. Orchestrates evidence from serp-extract, keyword-research, backlink-analysis, and topic-cluster without duplicating their work.
When the user wants backlink, referring-domain, anchor, link-quality, link-gap, link-intersect, anchor-diff, link-velocity, brand-mention, or competitor link-profile analysis for one target domain or URL.
Load Agentic SEO's canonical runtime context and route broad, ambiguous, or compound Agentic SEO requests through the right gates and downstream skills.
When the user wants a rigorous iteration loop for an artifact, prompt, briefing, content structure, or Agentic SEO skill. Also use for Karpathy-style experiment runs that need baseline scoring, explicit metrics, stop rules, and keep/reject decisions.
When the user wants keyword research, keyword expansion, search volume, CPC, competition, long-tail opportunities, or clustering inputs for a market. Also use before topic-cluster or content planning work that needs keyword evidence.
When the user wants a keyword SERP analysis with competitor comparison, target page gaps, or player-score interpretation. Also use before topic cluster or content brief work that needs SERP evidence.
Shared report-page contract for Agentic SEO modules that render editable, human-first Markdown reports in the Web Companion.
When the user wants to create, rewrite, evaluate, or improve an Agentic SEO skill. Also use when planning a skill-loop run or converting a formal contract skill into a narrative self-sufficient skill.
When the user wants to create, initialize, or prepare one Agentic SEO project with the standard local project structure, blank brain templates, content directories, and initial log entry.
When the user wants to create, port, fork, or review deterministic provider tools for Agentic SEO. Also use when adding tool attribution, registry entries, or provider integration docs.
MUST USE PROACTIVELY before executing a user request with two or more distinct deliverables, downstream skills, Agentic SEO pillars, dependencies, or decision/evidence/check gates. Use for compound requests such as research plus brain updates, technical audit plus content plan, content plus publication review, or any bulleted/numbered request with separate outcomes. Do not use for a single clear task.
When the user wants to capture SERP evidence, search result snapshots, competitor URLs, or SERP features for specific keywords without doing SEO analysis.
Friendly first-run alias that routes new Agentic SEO users to the canonical agentic-seo and project-init workflow without duplicating process rules.
When the user wants a deterministic technical SEO audit, page-template validation, JSON audit interpretation, or repair-priority report for a rendered page or site URL.
When the user wants to build, refresh, or promote an SEO topic cluster (pillar + satellites) backed by keyword and SERP evidence. Runs in four phases — Pesquisar, Curar, Estruturar, Promover — with the cluster draft kept outside the brain until human approval.