It is designed for scenarios that require direct operating system application and in-depth data analysis. [Forced trigger scenario]: - User mentions reading/writing/manipulating Excel, WPS, Word, TXT, Markdown, RTZ, etc. - User wants to "grab", "extract", and "get" data from any application - User needs to perform "in-depth analysis", "trend research", "anomaly detection", and "prediction" on the data - User requests to generate "charts", "visualizations", "dashboards", "data reports" - users say, "Help me see in this document..." Analyze this data...", "Make a chart presentation..." - Any task involving cross-application data flow [Core Competencies]: System interface calls × Data in-depth analysis × Professional visualization IMPORTANT: As long as it involves any of the file operations, data analysis, and visualization, this skill must be used. Don't skip tasks just because they "look simple" - there are many pitfalls in the underlying interface calls, and there are pitfall avoidance guides in the skills.

Automates the extraction of financial data from Excel or Word reports, performs trend analysis on revenue and expenses, and generates interactive dashboards with charts for monthly performance reviews. This reduces manual data entry and ensures consistent, error-free reporting for finance teams.

Extracts survey data from TXT or Markdown files, conducts in-depth analysis to identify customer trends and anomalies, and creates visualizations like bar charts and heatmaps for presentation. This enables quick insights from raw data, supporting strategic decision-making in marketing campaigns.

Reads patient data from Excel or CSV files, performs predictive analysis on health metrics to detect anomalies, and generates reports with visualizations for medical staff. This aids in monitoring patient outcomes and improving care protocols through data-driven insights.

Grabs logistics data from various applications like WPS spreadsheets, analyzes inventory levels and delivery trends, and produces dashboards with charts for performance tracking. This helps optimize stock levels and reduce operational costs by identifying inefficiencies in real-time.

Processes research data from RTZ or Markdown files, conducts statistical analysis for trend research, and creates professional visualizations like scatter plots and line charts for publications. This streamlines data presentation, enhancing the clarity and impact of academic findings.

Offers a cloud-based platform where users upload files for automated analysis and visualization, with tiered pricing based on data volume and features. Revenue is generated through monthly or annual subscriptions, targeting businesses needing regular data insights without IT overhead.

Provides on-premise or custom deployments for large organizations, including integration with existing systems and dedicated support. Revenue comes from one-time license fees and annual maintenance contracts, catering to industries with strict data security requirements like finance and healthcare.

Offers a free basic version for file reading and simple analysis, with paid upgrades for advanced features like predictive modeling and custom dashboards. Revenue is driven by upselling premium modules to individual professionals and small teams seeking enhanced capabilities.