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Found 591 Skills
Expert talent acquisition covering recruiting strategy, candidate sourcing, interview design, employer branding, and hiring analytics.
Google Search Console API integration for search analytics, URL inspection, sitemap management, and site verification. Use when working with search performance data, checking indexing status, managing sitemaps, or analyzing SEO metrics.
Comprehensive guide to building video applications with Mux, the developer-first video infrastructure platform. This skill covers video streaming, live streaming, player integrations, analytics with Mux Data, and AI-powered workflows. Whether you are building a video-on-demand platform, live streaming application, or integrating video into an existing product, this documentation provides the patterns and code examples needed to ship quickly.
Design or audit AI-first help centers/knowledge bases/FAQs, including taxonomy, article templates, analytics, and AI support (RAG, chatbot, escalation), using 2025-2026 best practices
Kpi Definition Helper - Auto-activating skill for Data Analytics. Triggers on: kpi definition helper, kpi definition helper Part of the Data Analytics skill category.
Unified trading system with auto-logging, bots, and performance analytics
Growth Strategist Specialist. Use this for analytics, growth loops, and retention strategies.
Retention Calculator - Auto-activating skill for Data Analytics. Triggers on: retention calculator, retention calculator Part of the Data Analytics skill category.
Parse raw text from an Instagram or TikTok Story insights screenshot and format it into a clean, spreadsheet-ready row with labeled fields. This skill should be used when parsing Story metrics from a screenshot, formatting Story insights for a spreadsheet, extracting metrics from a pasted Story screenshot, cleaning up Story analytics data, converting Story insights text into structured data, turning a Story performance screenshot into a row for the tracker, logging Story metrics into a spreadsheet, normalizing Story screenshot data, pulling numbers from a Story insights paste, organizing Story metrics from creator screenshots, processing a batch of Story screenshots into rows, building a Story metrics tracker from screenshots, or entering Story data from a screenshot into a sheet. For normalizing metrics from multiple sources into a unified table, see metrics-normalization-formatter. For calculating engagement rates and comparing to benchmarks, see engagement-rate-calculator-benchmarker.
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
Marketing analytics specialist covering tracking setup, dashboards, reporting, attribution modeling, A/B testing and experiment design, conversion optimization, and data-driven decision making. Use when the user wants to set up analytics tracking, create dashboards, build reports, implement conversion tracking, design or set up A/B tests, calculate sample sizes, write test hypotheses, analyze campaign performance, set up attribution models, audit existing analytics, or make data-driven marketing decisions. Also triggers for GA4, Google Tag Manager, UTM parameters, conversion rates, marketing ROI, funnel analysis, cohort analysis, sample size calculation, ICE scoring, experiment roadmap, or any marketing measurement question.
Implement analytics, data analysis, and visualization best practices using Python, Jupyter, and modern data tools.