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Found 102 Skills
Remove AI-generated traces from text. Suitable for editing or reviewing text to make it sound more natural and human-written. Based on the comprehensive guide of "Signs of AI Writing" from Wikipedia. Detects and fixes the following patterns: exaggerated symbolism, promotional language, superficial analysis ending with -ing, vague attribution, overuse of dashes, rule of three, AI vocabulary, negative parallelism, excessive connecting phrases.
Retargeting and remarketing strategy — website visitor retargeting, cart abandonment recovery, dynamic product ads, cross-channel retargeting, audience segmentation, frequency capping, attribution, pixel setup, in-app retargeting. Use when website visitors leave without converting, cart abandonment rates are too high, retargeting ads aren't profitable, you're unsure which retargeting platform to use, or past visitors never come back. Do NOT use for AdRoll-specific config (use /sales-adroll), Remerge-specific config (use /sales-remerge), email marketing (use /sales-email-marketing), B2B account-based advertising (use /sales-b2b-advertising), or general paid ads strategy (use /paid-ads).
Influencer marketing strategy across platforms — creator discovery, audience vetting, campaign tracking, ROI measurement, outreach, gifting, and affiliate programs. Covers platform comparison (Modash, influData, Creator.co, Hypefy, LTK, Influencity, Meltwater, Skeepers, Heepsy, CreatorIQ, NeoReach, Afluencer, Collabstr, Cloutboost, House of Marketers, Famesters, inBeat, HypeAuditor, Aspire, Influencer Hero, InstaJet, Open Influence, Viral Nation, trendHERO, Upfluence, GRIN, PlutoBa), discovery workflow (search, filters, lookalikes, audience analysis), vetting framework (fake followers, engagement authenticity, audience demographics), campaign setup and tracking (EMV, ROAS, CPM, sales attribution), creator outreach (email templates, negotiation, rate cards), product gifting and seeding, influencer affiliate programs, and creator payments. Use when unsure which influencer platform to pick, can't find the right creators for your niche, worried about fake followers or inflated metrics, campaign results aren't being tracked properly, creators aren't responding to outreach, or influencer spend isn't showing ROI. Do NOT use for platform-specific config (use /sales-modash, /sales-infludata, /sales-creatorco, /sales-hypefy, /sales-ltk, /sales-influencity, /sales-meltwater, /sales-brandwatch, /sales-skeepers, /sales-heepsy, /sales-creatoriq, /sales-neoreach, /sales-afluencer, /sales-collabstr, /sales-cloutboost, /sales-houseofmarketers, /sales-famesters, /sales-inbeat, /sales-hypeauditor, /sales-aspire, /sales-influencer-hero, /sales-instajet, /sales-openinfluence, /sales-viralnation, /sales-trendhero, /sales-upfluence, /sales-grin, or /sales-plutoba), TikTok marketing strategy (use /sales-tiktok-marketing), gaming influencer marketing strategy (use /sales-gaming-marketing), ad campaign strategy (use /sales-retargeting), or email marketing to subscribers (use /sales-email-marketing).
Complete Polymarket playbook covering research and trading on the world's largest prediction market. Use this for ANY Polymarket task. Research triggers: finding events ("what's happening in politics", "show me election odds", "NBA finals odds", "BTC to 200k markets", "IPL / FIFA / UFC / F1 betting markets"), listing markets with filters, searching by keyword, reading orderbooks, mid prices, spreads, last trade prices, recent trades, open interest, volume, liquidity, and any user's positions/portfolio/PnL by address. Trading triggers: place a bet on YES or NO, buy/sell outcomes, limit orders (GTC/GTD), market orders (FOK/FAK), batch orders, cancel one/many/all orders, check and set on-chain USDC.e and CTF approvals, neg-risk (multi-outcome) markets, tick size handling (0.01/0.001/0.0001), and builder-code attribution. Covers all routes under /agent/polymarket/* (events, markets, search, orderbook, price, prices, spread, last-trade-price, trades, market/:id/open-interest|volume|liquidity|trades, user/:address/positions|trades|portfolio|pnl, order, order/market, orders, order/:id, order/:id/scoring, approvals, builder/*). Use when the user mentions Polymarket, prediction markets, event betting, binary outcomes, probability markets, YES/NO tokens, conditional tokens, or politics/sports/crypto/culture odds. Prerequisite: openfin-setup for trading.
Use when "SHAP", "Shapley values", "feature importance", "model explainability", or asking about "explain predictions", "interpretable ML", "feature attribution", "waterfall plot", "beeswarm plot", "model debugging"
Expert LinkedIn Ads strategist for B2B companies. Use when the user asks about LinkedIn advertising, LinkedIn campaign setup, LinkedIn ad targeting, LinkedIn bidding strategies, LinkedIn ad formats, LinkedIn retargeting, LinkedIn ABM campaigns, LinkedIn Thought Leader Ads, LinkedIn funnel architecture, LinkedIn ads measurement/attribution, LinkedIn ads troubleshooting, LinkedIn creative best practices, or any B2B paid social strategy involving LinkedIn. Also triggers on "LinkedIn campaign", "LinkedIn CPM", "LinkedIn CTR", "LinkedIn lead gen", "B2B ads", "demand gen on LinkedIn", "sponsored content", or "LinkedIn ads not working". Do NOT use for LinkedIn organic content/posting (use linkedin-content skill) or LinkedIn outbound messaging (use cold-email skill).
Create git commits with user approval and no Claude attribution
Intelligent interaction performance analysis with automated workflows for INP debugging, scroll jank investigation, and main thread blocking. Includes decision trees that automatically run script attribution when long frames detected, break down input latency phases, and correlate layout shifts with interactions. Features workflows for complete interaction audit, third-party script impact analysis, and animation performance debugging. Cross-skill integration with Core Web Vitals (INP/CLS correlation) and Loading (script execution analysis). Use when the user asks about slow interactions, janky scrolling, unresponsive pages, or INP optimization. Compatible with Chrome DevTools MCP.
Intelligent loading performance analysis with automated workflows for TTFB investigation (DNS/connection/server breakdown), render-blocking detection, script performance deep dive (first vs third-party attribution), font optimization, and resource hints validation. Includes decision trees that automatically analyze TTFB sub-parts when slow, detect script loading anti-patterns (async/defer/preload conflicts), identify render-blocking resources, and validate resource hints usage. Features workflows for complete loading audit (6 phases), backend performance investigation, and priority optimization. Cross-skill integration with Core Web Vitals (LCP resource loading), Interaction (script execution blocking), and Media (lazy loading strategy). Use when the user asks about TTFB, FCP, render-blocking, slow loading, font performance, script optimization, or resource hints. Compatible with Chrome DevTools MCP.
Generate clear, accurate performance reports for investment portfolios with benchmarks, attribution, and risk dashboards. Use when the user asks about portfolio performance reports, return summaries, benchmark comparison, risk dashboards, goal progress tracking, or GIPS-compliant reporting. Also trigger when users mention 'quarterly report', 'how did my portfolio do', 'time-weighted vs money-weighted return', 'annualized returns', 'net-of-fee performance', 'rolling Sharpe', or ask how to present investment results to clients.
Query GA4 reports (users, sessions, conversions, funnels, realtime), manage properties / data streams / key events / custom dimensions / audiences / access bindings, and send Measurement Protocol events via the `ga4` CLI. Use this skill whenever the user mentions GA4, Google Analytics, property IDs starting with `properties/`, tracking events, engagement or traffic metrics, attribution, conversions, key events, audiences, BigQuery links, access roles, or realtime users — even if they don't explicitly say "GA4". Do not use for Google Search Console (see google-search-console skill) or generic web analytics where the source isn't GA4 (ask first).
Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Detects inflated symbolism, promotional language, superficial -ing analyses, vague attributions, rule of three, AI vocabulary, and more.