Find the perfect skill
Statistical Significance Calculator
Data & AI
Provides automated guidance for statistical significance calculations, offering step-by-step instructions and best practices for data analytics tasks like SQL queries and visualizations. It helps when you need to implement or understand statistical significance tests in your analysis workflows.
Nkululeko Audio ML Framework
Data & AI
Nkululeko enables rapid audio data analysis and machine learning model training with a high-level interface, leveraging sklearn and torch.
Generate Statistical Tables
Data & AI
Generate publication-ready statistical tables using gt, kableExtra or flextable. Covers descriptive statistics, regression results, ANOVA tables, correlation matrices, and APA formatting.
Validate Topological Results
Data & AI
Check mathematical correctness of TDA results against known benchmarks and internal consistency checks.
Extract Predictions
Data & AI
Extracts predictions, confidence levels, and verification methods from text. Useful for analyzing documents or conversations to identify forward-looking statements.
WAP Data Ingestion for Bauplan
Data & AI
Ingest S3 data into bauplan using the Write-Audit-Publish (WAP) pattern for safe, audited data loading.
Citation Check Skill
Data & AI
Vision-enabled verification gate with web search to check citations.
ClickHouse Analytics Patterns and Query Optimization
Data & AI
Best practices for ClickHouse database schemas, query optimization, and high-performance analytics. Covers MergeTree engines, aggregation patterns, and data ingestion.
USPTO Database
Data & AI
Workflow for searching and verifying official USPTO patent and trademark records, including PatentSearch, TSDR, and assignment data.
Data Analyst - Visualization & Reports
Data & AI
Data visualization, report generation, SQL queries, and spreadsheet management. Your AI-powered data analyst for turning raw data into clear insights.
PINA - Physics-Informed Neural Networks
Data & AI
Solve partial differential equations (PDEs), inverse problems, and perform operator learning using physics-informed neural networks (PINNs) with the PINA library built on PyTorch. Ideal for scientific machine learning tasks such as forward/inverse PDE solving, neural operators like FNO and DeepONet, and reduced-order modeling.
Agoragentic
Data & AI
Skill to invoke external AI capabilities by task, with routing, fallback, USDC settlement, and policy control.