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Found 593 Skills
World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. Expertise in Python (NumPy, Pandas, Scikit-learn), R, SQL, statistical methods, A/B testing, time series, and business intelligence. Includes experiment design, feature engineering, model evaluation, and stakeholder communication. Use when designing experiments, building predictive models, performing causal analysis, or driving data-driven decisions.
Expert-level retail systems, POS, inventory management, e-commerce, customer analytics, and omnichannel retail
OKX OnChainOS - Complete on-chain operations suite with 11 specialized skills for trading, analytics, security, and wallet management across 20+ blockchains
Build and optimize sales funnels — strategy, structure, conversion optimization, A/B testing, and analytics. Use when building a funnel, optimizing conversion rates, designing upsell/downsell flows, choosing a funnel builder, or planning a launch funnel. Do NOT use for email marketing sequences (use /sales-email-marketing), checkout-specific optimization (use /sales-checkout), or webinar funnels (use /sales-webinar). For Groove-specific help, use /sales-groove.
Use when building Apache Spark applications, distributed data processing pipelines, or optimizing big data workloads. Invoke for DataFrame API, Spark SQL, RDD operations, performance tuning, streaming analytics.
Automate YouTube tasks via Rube MCP (Composio): upload videos, manage playlists, search content, get analytics, and handle comments. Always search tools first for current schemas.
Expert data science covering machine learning, statistical modeling, experimentation, predictive analytics, and advanced analytics.
Firebase Auth, Firestore, FCM, Crashlytics & Analytics Patterns
Stream call audio in real-time, fork media to external destinations, and transcribe speech live. Use for real-time analytics and AI integrations. This skill provides JavaScript SDK examples.
Scoring formulas and analytical frameworks for GitHub workflow agents. Covers repository health scoring (0-100, A-F grades), priority scoring for issues/PRs/discussions, confidence levels for analytics findings, delta tracking (Fixed/New/Persistent/Regressed), velocity metrics, contributor metrics, bottleneck detection, and trend classification. Use when computing scores, tracking remediation progress, building prioritized dashboards, or detecting workflow bottlenecks.
Work with Dynatrace notebooks - create, modify, query, and analyze notebook JSON including sections, DQL queries, visualizations, markdown documentation, and analytics workflows. Supports notebook creation from scratch, section-based updates, data extraction from Document Store, structure analysis, investigation workflows, and collaborative documentation.
Design an end-to-end MotherDuck pipeline. Use when choosing raw, staging, and analytics boundaries, bulk ingestion paths, transformation sequencing, publication targets, or whether DuckLake is actually required.