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Found 590 Skills
Creates comprehensive dashboard and analytics interfaces that combine data visualization, KPI cards, real-time updates, and interactive layouts. Use this skill when building business intelligence dashboards, monitoring systems, executive reports, or any interface that requires multiple coordinated data displays with filters, metrics, and visualizations working together.
Bybit exchange analytics and trading via V5 API. Triggers on: Bybit, futures, perpetual, funding rate, open interest, orderbook, position, place order, limit order, market order, stop loss, take profit, liquidation, PnL, margin.
Use when building revenue analytics on HubSpot — SQL warehouse queries, API enrichment pipelines, lead scoring models, pipeline forecasting, competitive intelligence. Triggers on "hubspot analytics", "revops dashboard", "lead scoring", "pipeline forecast", "ICP analysis", "hubspot SQL".
When the user wants to set up, interpret, or improve their app analytics and tracking. Also use when the user mentions "analytics", "tracking", "metrics", "KPIs", "App Store Connect analytics", "install tracking", "funnel", "attribution", or "how is my app performing". For A/B testing, see ab-test-store-listing. For retention metrics, see retention-optimization.
Define and design a product metrics dashboard with key metrics, data sources, visualization types, and alert thresholds. Use when creating a metrics dashboard, defining KPIs, setting up product analytics, or building a data monitoring plan.
Polymarket prediction market analytics — screener, OHLCV, orderbook, holders, trades, PnL. Use when researching prediction markets, checking market prices, or analyzing trader positions.
Gmail inbox copilot via MCP. Triage, inbox zero with streak tracking, smart filters, auto-rules, analytics, newsletters, labels, search, senders, digest, cleanup, audit. Use when overwhelmed by email or building Gmail filters. NOT for: composing emails, calendar, Google Drive, non-Gmail.
Python data analysis with pandas, numpy, and analytics libraries
Implement analytics, data analysis, and visualization best practices using Python, Jupyter, and modern data tools.
Advanced test reporting, quality dashboards, predictive analytics, trend analysis, and executive reporting for QE metrics. Use when communicating quality status, tracking trends, or making data-driven decisions.
Use when conducting deep analytics on Xiaohongshu accounts, tracking content performance trends, researching influencer data, monitoring category growth, or making strategic decisions with comprehensive social media analytics
Comprehensive social media management for all platforms (LinkedIn, Twitter/X, Instagram, TikTok, Facebook, Pinterest, YouTube). Covers content creation, content pillars, hook formulas, repurposing across platforms, platform-optimized graphics/visuals, content calendar, engagement strategy, analytics/ROI analysis, AI-powered content generation, and scheduling best practices. Use for: social media content, LinkedIn post, Twitter thread, Instagram reels, TikTok, content calendar, social scheduling, engagement strategy, social analytics, social media ROI, content repurposing, social graphics, thumbnails, captions, hashtags, viral content, content creator, social media manager, AI content generation, social media audit.