opensensenova

Facilitates PPT generation by collecting user inputs and parsing documents to create structured presentation decks.

Updates SenseNova skills in OpenClaw or hermes-agent installations, ensuring users have the latest features and fixes.

Facilitates comprehensive Excel data analysis, including data cleaning, aggregation, and report generation for efficient workflows.

Analyzes large Excel datasets efficiently, utilizing streaming reads and Parquet conversion for optimal performance.

Facilitates comprehensive research processes, from planning to report generation, ensuring thorough evidence collection and analysis.

Generates and modifies final Markdown research reports based on existing materials, enhancing structure and visual elements.

Enables image analysis and data extraction from various formats, converting visuals into structured text and data for further use.

Generates images that imitate the style of a reference image while updating content based on user intent through a structured pipeline.

Generates visually appealing portfolio-resume images from user-provided resume content, enhancing presentation and style.

Validates environment settings for PPT family skills, ensuring all necessary API keys and dependencies are correctly configured.

Provides low-level APIs for image generation, recognition, and text optimization, enabling advanced AI functionalities.

Validates the SenseNova-Skills environment, ensuring proper installation and configuration of dependencies and environment variables.

Generates professional infographics with tailored layouts and styles, providing publication-ready visuals based on user prompts.

Facilitates a streamlined PPT pipeline for LLM/VLM calls, ensuring efficient command execution and output management.

This skill helps define report structures and writing constraints for various types of reports, aiding in deep research and analysis.

Analyzes large Excel files by converting to Parquet for performance, extracting metrics, and highlighting results in a new Excel file.

Automates Excel analysis by switching to Parquet for large files, calculating time series averages, and generating styled reports.

Automates data processing and visualization in Excel using openpyxl, highlighting key metrics for better insights.

Extracts numeric values from strings and creates comprehensive visualizations to showcase data distribution and trends.

Analyzes and visualizes categorical data differences, generating insightful reports and charts for better decision-making.