Data Skill Leaderboard
Create documents, design interfaces, and automate business workflows.
Plan marketing campaigns and improve conversions.
Analyze scientific data and conduct research workflows.
Customize Copilot workflows for development tasks.
Audit websites and improve search visibility.
Build and operate applications with Google technologies.
Coordinate research, experiments, and paper writing.
Train, evaluate, and research machine learning models.
Develop, test, and operate full-stack applications.
Edit native office documents alongside an AI assistant.
Create datasets and train and evaluate models on Hugging Face.
Research keywords and audit search and AI visibility.
Find and use Korean public and commercial services.
Analyze trading setups, news, and risk through market simulations.
Analyze ad performance and improve search visibility.
Create editable slides, design canvases, dashboards, and motion films.
Automate browser workflows and extract website data.
Create office documents, analyze data, and produce multimedia.
Plan YouTube videos and improve scripts, packaging, and retention.
Conduct empirical research from data analysis to publication.
Add image understanding to text-only agents.
Research, write, and analyze social media content.
Research markets and structure trading plans and risk reviews.
Generate Python data models from schemas.
Build AI, robotics, and accelerated computing workflows with NVIDIA tools.
Analyze companies, markets, and trading strategies.
Research genes, proteins, compounds, and scientific literature.
Create visual explanations and diagrams in Markdown documents.
Analyze financial news, market signals, and stock data.
Analyze biomedical data and support clinical research workflows.
Research stocks, options strategies, and market news.
Build web scrapers and automation with Apify.
Extract local business leads from Google Maps.
Track emerging AI names and search opportunities.
Design, analyze, and review medical imaging research.
License and sell selected coding-agent sessions.
Research stocks and assess portfolio risk.
Build and validate product-specific AI evaluations.
Plan, analyze, and verify academic research deliverables.
Evaluate LLM applications through error analysis and testing.
Learn agent skills through practical course examples.
Research products and optimize online store growth.
Find existing tools for reverse-engineered systems.
Benchmark agents on practical multi-step tasks.
Build and operate Microsoft Fabric data workflows.
Build, simulate, and test Simulink models.
Structure research, business analysis, and learning workflows.
Research markets and produce brand growth campaigns.
Write, test, and debug MATLAB engineering workflows.
Analyze biological sequences and genomic datasets.