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 2 029 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 247 copies of these same skills sitting in other people's repositories — counted once here, not 247 times.
3 187 unique 354 authors 1 619 updated this month 129 from vendors
> Focused Signals scout for PostHog projects with web traffic. Watches the acquisition diverging from the site's own rhythm (an acquisition source silently collapsing or surging), attribution breakage (paid/campaign traffic reclassifying into Direct or Unknown when tagging breaks), landing pages that break (bounce-rate steps, 404 spikes, entry-path cliffs), and page-performance regressions (web vitals p75 steps). Emits findings only when they clear the confidence bar; otherwise writes durable memory and closes out empty. Self-contained peer in the signals-scout-* fleet.
Build the case for converting a PostHog monthly/PAYG customer to an annual prepaid credit plan. Pulls 12-24 months of invoice history from the data warehouse, runs the handbook eligibility check, projects forward growth, applies the handbook discount tiers, scans recent customer touchpoints (Slack, Gmail, Granola) for confounding variables, fetches customer momentum signals via Exa, emulates the rep's own writing voice, and emits a succinct briefing plus a plain-text Slack draft. Trigger on "annual conversion math for [account]", "monthly to annual for [account]", "draft annual nudge for [account]", or "credit-discount math for [account]".
Research, qualify, and suggest outreach for PostHog big fish product-led leads — large companies (500+ or 1000+ employees) using PostHog on free tier without a payment method. Use this skill when a TAE needs to work a big fish alert from Salesforce. Triggers on 'work this big fish lead', 'research this product-led lead', 'big fish alert', '500+ employees no payment method', '1000+ employees no payment method', or any request involving a large-company product-led lead that needs research, qualification, and an outreach recommendation. Also trigger when a TAE pastes Salesforce lead details with matching criteria like 'Big fish alert' or '500+ employees, no payment method'.
Build and analyze genome-scale constraint-based metabolic models with COBRApy — flux balance analysis (FBA), flux variability analysis (FVA), gene and reaction knockouts, flux sampling, and SBML model I/O. Use when simulating metabolic networks, predicting growth or knockout phenotypes, or running systems-biology and metabolic-engineering analyses on SBML genome-scale models. Part of the AlterLab Academic Skills suite.
Submits and manages protocols on Ginkgo Bioworks Cloud Lab (cloud.ginkgo.bio), a web-based interface for autonomous lab execution on Reconfigurable Automation Carts (RACs), covering protocol selection, input preparation, pricing, and ordering workflows. Use when running cell-free protein expression (validation or optimization), generating fluorescent pixel art, or interacting with Ginkgo Cloud Lab services. Part of the AlterLab Academic Skills suite.
Create compelling social media bios for any platform. Use when the user needs bios for Twitter/X, Instagram, LinkedIn, TikTok, YouTube, or any social platform.
Generate high-performing Substack notes that drive engagement and newsletter growth. Use when the user wants to create Substack notes, needs content ideas for notes, or wants to repurpose content into note format.
Optimize LinkedIn profile sections for maximum impact and conversions. Use when the user wants to improve their LinkedIn headline, about section, experience descriptions, or overall profile strategy.
> Create, schedule, and manage social media posts via Typefully. ALWAYS use this skill when asked to draft, schedule, post, or check tweets, posts, threads, or social media content for Twitter/X, LinkedIn, Threads, Bluesky, Mastodon, or Substack Notes, or when the user drops a Typefully draft URL such as
> 📈 SEO & Content Marketing skill suite derived from alirezarezvani/claude-code-skill-factory. Keyword research, content audits, SERP analysis, technical SEO and content strategy. Provides 10 specialised commands for seo, content, marketing workflows.
| Raise real concurrency in asyncio LLM batch scorers built on the OpenAI SDK (1) raising an asyncio.Semaphore above ~100 produces no throughput gain, (2) a batch pipeline saturates near 100 in-flight requests despite a larger semaphore, (3) planning a high-concurrency campaign against a provider with AsyncOpenAI's default httpx pool caps max_connections at 100, silently bottlenecking any larger semaphore — you must pass a custom http_client with httpx.Limits sized to the semaphore.
Run the lit-review orchestrator free index search channel against keyless OpenAlex, Crossref, and Semantic Scholar keyword-search endpoints. Use when the user invokes the free search channel, asks for keyless scholarly index search, or needs Stage 4e fallback discovery without SearchAPI, Gemini, or Undermind credentials.
| Gate resumption of any multi-day LLM batch-scoring campaign that calls an unpinned model alias (deepseek-chat, gpt-*-latest, gemini-*-preview, any credit-exhausted scoring run days after its last chunk, (2) topping up credits to finish a campaign, (3) extending a cached scoring pipeline with new items. Prevents silently splicing two model versions or serving serving-revision drift WITHIN DeepSeek v4-flash (same alias, same family, litigation scores systematically shifted across a 2-day gap) before an $83 resume spend.
UI/UX 设计智能助手 - BM25 搜索引擎覆盖 8 大设计领域（风格/配色/字体/图表/Landing/产品/UX/Prompt），支持 8 种框架技术栈。当需要界面设计参考、配色方案、字体搭配、UI审查、设计规范时使用。关键词：UI设计、界面优化、配色、字体、设计规范、landing page
Competitor content gap analysis — extracts ALL comments from competitor and your own YouTube videos, identifies what audiences want but aren't getting, ranks gaps by engagement, and proposes video ideas. Use when the user says "scoop," "content gap," "analyze competitor videos," "what should my next video be about," "find content gaps," or "competitor analysis.
> 📈 SEO & Content Marketing skill suite derived from borghei/Claude-Skills. Keyword research, content audits, SERP analysis, technical SEO and content strategy. Provides 10 specialised commands for seo, content, marketing workflows.
Explain MotherDuck pricing and ROI tradeoffs. Use for any pricing, cost, billing, plan-comparison, instance-sizing, chargeback, or budget question — when an economic_buyer, technical_owner, or analytics_lead asks about spend, budget guardrails, workload cost drivers, plan fit, vendor cost comparisons, or whether MotherDuck is worth adopting.
Explain MotherDuck pricing and ROI tradeoffs. Use for any pricing, cost, billing, plan-comparison, instance-sizing, chargeback, or budget question — when an economic_buyer, technical_owner, or analytics_lead asks about spend, budget guardrails, workload cost drivers, plan fit, vendor cost comparisons, or whether MotherDuck is worth adopting.
| AI Native 营销与增长策略 Skill。基于《AI Native 营销与增长》方法论， 帮助用户构建以 AI 为第一性原理的增长系统：从工具思维升级为系统思维， 建立 AI Native 增长飞轮，实现数据-模型-反馈的复利增长。
AI Native 产品经理 Agent — — 五书合一的产品工作流编排器。 用户提供一个产品想法或问题线索，Agent 自动编排七个阶段： P1需求发现 → P2方向定界 → P3体验设计 → P4系统构建 → P5商业模式 → P6增长策略 → P7审计投产。 基于五本书：《AI Native 产品方法论》《AI时代的用户体验》《AI确定性商业模式》《AI Native 营销与增长》《AI rebuild product needs》。
商业模式 → 增长策略 组合 Skill。将确定性溢价定价策略与 AI Native 增长飞轮匹配， 输出定价-增长联动策略，确保商业模式和增长方式自洽。
AI Native 营销与增长策略 Skill。基于《AI Native 营销与增长》方法论， 帮助用户构建以 AI 为第一性原理的增长系统：从工具思维升级为系统思维， 建立 AI Native 增长飞轮，实现数据-模型-反馈的复利增长。
数据飞轮构建器。基于《AI Native 营销与增长》数据飞轮概念卡， 帮助产品团队评估和构建自增强的数据飞轮：使用→数据→模型→产品→更多用户→更多数据。
意图预测营销设计器。基于《AI Native 营销与增长》意图预测营销概念卡， 帮助产品从"人群定向"升级为"个体预见"——在用户明确表达之前就提供相关内容。
营销产品化设计器。基于《AI Native 营销与增长》营销产品化概念卡， 帮助产品将营销活动设计为产品功能，让用户在使用中自然完成"被营销"。
预测性留存设计器。基于《AI Native 营销与增长》预测性留存概念卡， 帮助产品从"流失后挽回"升级为"流失前阻止"——在用户流失之前主动干预。
Coach PMs: evidence-based assessment, growth bets, development plan, coaching cadence.
Plan a career transition: push/pull map, target archetypes, option scorecard, pipeline + outreach, skills plan.
Build a content marketing program: SEO topic map, editorial calendar, content briefs, measurement plan.
Design growth loops (viral/referral/acquisition): loop map, scorecard, experiment backlog.
Build a Mentor & Sponsor Plan: target list, outreach scripts, meeting agenda, tracking cadence.
Create a Founder Sales Sprint Pack (ICP wedge, outreach sequences, discovery script, activation plan).
Plan launch marketing: brief, hook, channel plan, PR kit, measurement plan. See also: shipping-products (release execution).
Plan earned media outreach: media list, pitch templates, outreach tracker, interview prep.
Create a Partnership & BD Pack (partner thesis, target list, outreach kit, negotiation guardrails).
Create a Pricing Strategy Pack (value metric, packaging, price points, conversion mechanics, rollout).
Create a Product-Led Sales Pack (PQL/PQA definition, usage-signal routing, outreach playbook).
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.