Analyze Excel files with 10,000 or more rows using reading methods suited to their size. Convert data to Parquet, a column-based storage format, reduce memory use, and prepare summaries, charts, or filtered exports.
Turn presentation requirements, supplied documents, and completed research into one editable Markdown outline. Define the overall argument, each slide’s conclusion and evidence, and the connections between slides, then update the same outline when revisions are requested.
Search Chinese social platforms for videos, questions, and answers, with script results returned as JSON, a structured text format. For 小红书 and 微博, use public web pages and record the source and search limitations.
Create HTML stories where page progress controls a continuous camera journey. The workflow covers research, chapter planning, consistent AI images, Seedance scene and transition clips, interface design, media preparation, and browser checks.
Check Excel measurements against limits written in the sheet, highlight rows exceeding those limits and cells containing division errors, and export a summary showing structure names, measured values, limits, and differences.
Coordinate multiple agents to investigate competitors, markets, trends, or factual claims across several sources. Choose from three workflow levels to produce a referenced report, with additional review and follow-up research in the most extensive mode.
Open an existing SenseNova HTML slide deck in PPT Workbench for browser-based preview, inspection, and visual editing. Select a deck folder or find the latest local deck, with interactive agent chat available when a supported connection is configured.
Research news, social media topics, and developer discussions using free public sources. Compare signals across services, including Wikipedia page views and GitHub activity, and organize findings with links to supporting pages.
Extract coefficients associated with a chosen label across Excel sheets and check them against a standard value. Create a comparison workbook showing each value, its source sheet, and red highlighting for rows that fail the check.
Turn long Markdown reports into a single HTML page with a design shaped by the subject. Reorganize text, evidence, and charts for easier reading while preserving the source’s factual claims and the strength of its conclusions.
Search Google images through Serper.dev and collect candidate image URLs, page links, titles, and source domains. Choose URL-only output or save raw JSON results, with country and language preferences available.
Extract text, tables, and chart values from PowerPoint presentations, including image-only slides through image recognition. Use the collected content to search across slides, identify dated events, or calculate ratios from table data.
Analyze a selected entity’s time series in Excel, calculate its average, and export a formatted report showing differences from that average. Rows below the average are highlighted in green for easy comparison.
Extract numbers from text values containing a specified unit, remove unusable rows, and visualize the distribution. Create a histogram with mean and median markers, plus a dashboard showing frequencies, proportions, and cumulative percentages.
Clean categorical Excel data and compare counts and percentage shares across groups. Create cross-tabulation tables, heatmaps that show differences through color, and category rankings, then export the analysis to a workbook with multiple sheets.
Search academic sources and encyclopedia entries, read full papers or selected sections, and follow references and citing papers. Use these connections to find related research, identify foundational studies, and trace later developments beyond keyword search.
Diagnose problems in a PPT creation setup, including document parsing, browser rendering, PPTX export, and search or image tools. Receive a report showing which capabilities work, which remain unverified, and what configuration or dependencies are missing.
Combine selected data from multiple Excel sheets, clean numeric values, and extract the highest entries for a chosen metric. Create a ranked Excel report with highlighted columns, borders, column widths, and number formats for easier comparison.
Check the SenseNova-Skills installation, Python dependencies, and environment variables before using other skills. Prompt for missing configuration, save supplied values to a .env file, and reload settings or suggest restarting the agent.
Extract and analyze text, tables, numbers, and charts from Word, PDF, and PowerPoint documents. Process complete files or document collections, aggregate findings, and verify counts, calculations, and units before presenting answers.
Turn text or structured data into infographics with selected layouts and visual styles. The skill can refine image prompts and, across multiple generation rounds, review the images and rank the results for selection.
Clean category data in Excel, group entries, and calculate counts, totals, and shares. Create a summary spreadsheet with a total row and highlighted maximum values, alongside a bar chart for comparing groups.
Extract text and data from images of charts, tables, interfaces, and diagrams using a vision model, an AI that reads images. Turn the results into structured tables, recreate charts, or export data to Excel and CSV.
Set up and run research that compares evidence across multiple sources, such as market studies, competitor analysis, or fact checks. The skill handles environment checks, installation guidance, research settings, progress reporting, final files, and recovery.
Is this your account? Link GitHub to bring it onto your creator page (Japanese)