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Found 18 Skills
Expert data analysis covering SQL, visualization, statistical analysis, business intelligence, and data storytelling.
Expert-level Looker BI, LookML, explores, dimensions, measures, dashboards, and data modeling
Expert data scientist for advanced analytics, machine learning, and statistical modeling. Handles complex data analysis, predictive modeling, and business intelligence. Use PROACTIVELY for data analysis tasks, ML modeling, statistical analysis, and data-driven insights.
Comprehensive BD intelligence research skill for KServe's business development team. Use this skill whenever a user provides a company name (and optionally a website or address) and wants to research that company as a potential outsourcing client. Triggers on phrases like "research [company]", "look up [company]", "get me info on [company]", "do a BD profile for [company]", "check out this company", or any request to investigate a prospect company for sales or outreach purposes. Always use this skill when the context is about finding potential clients for KServe's BPO services.
Эксперт SQL window functions. Используй для аналитических запросов, OVER clauses и ranking functions.
Эксперт executive dashboards. Используй для KPI визуализации, business intelligence и reporting.
Transform raw data from CSVs, Google Sheets, or databases into executive-ready reports with visualizations, key metrics, trend analysis, and actionable recommendations. Creates data-driven narratives for leadership. Use when users need to turn spreadsheets into executive summaries or board reports.
Design KPI dashboards for executive monitoring. Use for performance tracking, strategic initiatives, and management reporting.
Healthcare Enterprise Funding Monitoring System. Real-time monitoring of industrial and commercial changes of healthcare enterprises, identification of funding signals, and automatic alert pushing. Supports data collection from Tianyancha/Qichacha, AI funding judgment, and multi-channel pushing.
Extract and analyze business descriptions and competitive landscape from SEC filings using Octagon MCP. Use when researching company business models, market positioning, competitive advantages, industry dynamics, and strategic focus areas from Item 1 disclosures.
Analyze business segment performance and reporting from SEC filings using Octagon MCP. Use when researching segment revenue, operating income, margins, geographic breakdown, and segment restructuring from 10-K and 10-Q filings.
Visualization Best Practices - Auto-activating skill for Data Analytics. Triggers on: visualization best practices, visualization best practices Part of the Data Analytics skill category.