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Data & AI

Provides patterns for organizing dbt models into staging, intermediate, and marts layers, along with incremental strategies and testing. Helps structure scalable dbt projects with clear separation of concerns.

Data & AI

Expert-level knowledge of ML and AI frameworks including TensorFlow, PyTorch, Scikit-learn, Hugging Face, MLflow, Kubeflow, Apache Spark ML, cloud ML platforms, and MLOps tools, with optimization techniques, deployment strategies, and production implementation patterns. Helps when designing ML pipelines, selecting optimal frameworks, optimizing training/inference performance, and building automated MLOps workflows for production AI systems.

Data & AI

Provides guidance on tuning HNSW parameters, selecting quantization strategies, and optimizing memory usage for vector indexes. Helps balance recall, latency, and memory when scaling to billions of vectors or reducing search latency.

Data & AI

Access and manage NocoDB databases, tables, and records via REST API. A powerful open-source Airtable alternative with full API control.

Data & AI

GNO is a local knowledge engine for searching documents, notes, and files using keyword, semantic, or hybrid search. It indexes directories and provides AI-generated answers with citations. Use it when you need to find information in local folders, build a knowledge base, or set up document search without cloud dependencies.

Data & AI

Provides tools for loading, filtering, and comparing mass spectrometry spectra from mzML, MGF, MSP, and other formats. It includes over 40 filters for metadata harmonization and peak processing, and supports several similarity metrics (cosine, modified cosine, neutral loss) for spectral matching. Useful for building reproducible metabolomics workflows and library searching.

Data & AI

Google Analytics API integration with managed authentication and data querying. Pull reports and metrics with simplified credential management.

Data & AI

Provides expert guidance on quantum kernel methods for machine learning, including fidelity and projected quantum kernels, kernel matrix computation via circuit execution, and integration with classical SVM solvers. Supports feature map design, kernel alignment optimization, and bandwidth tuning for improved classification performance. Helps leverage high-dimensional Hilbert spaces for potential quantum advantage in kernel-based machine learning tasks.

Data & AI

Calculates foundation settlements including immediate elastic settlement, primary consolidation, and secondary compression using established geotechnical methods.

Data & AI

Manages Motivia AI models. Allows adding a new model (update utils/ai-model.tsx) or a new API provider (install SDK, update Prisma schema, create icon, add to registry). Useful for configuring generation options and cost display.

Data & AI

Selects informative features from high-dimensional omics data using Boruta all-relevant selection, mRMR minimum redundancy, LASSO regularization, and univariate filtering. Helps identify robust biomarkers by combining multiple feature selection approaches.

Data & AI

Handles ingestion of RFP opportunities from sources such as SAM.gov, eMMA, and RFPMart, including CSV uploads via Admin UI. Normalizes all records to a canonical schema and deduplicates based on externalId and source. Use when adding new data sources, modifying ingestion logic, or debugging data fetching issues.