SenseNova
Official@opensensenova
SenseTime Foundation Model Sets
Agent Skills by SenseNova
Showing 79 vetted skills indexed across 1 GitHub repositories.
sn-search-year-report
Search free official annual reports and disclosure filings across global exchanges.
sn-ppt-workbench
Launches a local WebUI to preview and edit existing HTML slide decks.
sn-search-image
Search Google Images via Serper.dev API and return image URLs, page URLs, and source metadata.
sn-da-non-spreadsheet-analysis
Extract text, tables, charts, and formatting from Word, PDF, and PPT documents.
sn-search-social-media
Search public hotspots across GitHub, Stack Exchange, Hacker News, and Wikimedia pageviews.
sn-search-finance
Retrieve financial market data, filings, and news via yfinance and mootdx.
sn-prepare-citations
Converts footnote-style citations into numbered references and appends a bibliography to research reports.
sn-search-market-cn
Researches China market and industry data from official free government sources.
ppt-analysis
Extract text, tables, charts, and image captions from PPTX and PPT presentations.
pdf-analysis
Extract text, tables, and embedded images from text-based and scanned PDF documents.
word-analysis
Extract text, tables, highlights, and embedded images from Word documents.
SenseNova Skills
Automate office document workflows with Python scripts and LLM prompts.
sn-image-resume
Convert plain resume text into a styled portfolio image.
sn-image-doctor
Validate SenseNova skill installations, dependencies, and environment variables.
sn-infographic
Analyzes text to generate infographic prompts and images.
sn-da-large-file-analysis
Convert large Excel datasets to Parquet using streaming techniques.
sn-deep-research
Coordinate multi-source research processes with verification and structured report generation.
skills/sn-ppt-creative
Generate visual style and layout guidelines for PowerPoint presentations.
sn-ppt-entry
Parse user prompts to collect and validate PPT generation parameters.
sn-update
Synchronize installed SenseNova sn-* skills with upstream GitHub commits.
sn-md-to-html-report
Convert Markdown research documents into styled HTML reports with embedded images and Mermaid diagrams.
sn-search-social-en
Search Reddit, Twitter, and YouTube for English social media content.
sn-research-planning
Develop research plans with objectives, scope, report format, and task dependencies.
sn-image-base
Provide RESTful API calls for image generation, recognition, and text refinement.
Frequently Asked Questions About SenseNova
FAQPage SchemaWhat specific tasks can I perform with these data processing capabilities?▼
You can perform large-scale data cleaning, outlier detection, multi-sheet aggregation, and statistical visualization. The system supports converting Excel files to Parquet, applying conditional formatting, and generating complex charts like stacked bar, pie, and heatmaps for business intelligence.
Which technical personas benefit most from these research and analysis functions?▼
Data analysts, research scientists, and business intelligence engineers benefit from these capabilities. The system is designed for professionals who need to synthesize multi-source information, validate large datasets, and produce structured, decision-ready reports from diverse academic and social media data streams.
What are the primary dependencies for running these data analysis and research functions?▼
The environment requires a standard data science stack including pandas, openpyxl, numpy, matplotlib, and seaborn. Users must ensure these packages are installed and synchronized with the latest repository commits to maintain compatibility with the provided data processing and visualization modules.