NeuralBlitz/Agent-Gateway

agentic-ai

Building autonomous AI agents capable of reasoning, planning, and executing multi-step tasks

few-shot-learning

Learning from a small number of examples per class using metric learning and meta-learning

generative-ai

Techniques and frameworks for generating new data instances that match the distribution of training data

large-language-models

Advanced techniques for training and fine-tuning transformer-based language models at scale

large-language-models

Foundational understanding and practical implementation of transformer-based language models

multi-modal-learning

Integrating and reasoning across multiple data modalities including text, images, audio, and video

self-supervised-learning

Learning representations from unlabeled data using pretext tasks and contrastive methods

zero-shot-learning

Recognizing classes without any training examples using semantic attributes and transfer learning

etl-pipelines

Extract, Transform, Load processes for moving data between systems

exploratory-data-analysis

Initial investigation of datasets to discover patterns and identify anomalies

feature-engineering

Creating and transforming features to improve machine learning model performance

numpy

Fundamental package for numerical computing with powerful N-dimensional array objects

scikit-learn

Machine learning library for Python with simple and efficient tools for data mining and analysis

active-learning

Intelligently selecting which samples to label to maximize model performance with minimal annotation

bayesian-machine-learning

Quantifying uncertainty and incorporating prior knowledge using probabilistic inference

curriculum-learning

Training models by presenting examples in order of increasing difficulty for better convergence

ensemble-methods

Combining multiple models to achieve better predictive performance than individual models

meta-learning

Learning to learn by acquiring knowledge across multiple tasks that transfers to new tasks

semi-supervised-learning

Leveraging both labeled and unlabeled data to improve model performance

transfer-learning

Applying knowledge learned from one task or domain to improve learning on related tasks

unsupervised-learning

Discovering hidden patterns in data without labeled examples using clustering and dimensionality reduction

better-auth-best-practices

Skill for integrating Better Auth - the comprehensive TypeScript authentication framework.

brainstorming

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

browser-use

Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, or extract information from web pages.

bioinformatics

Computational biology tools including sequence alignment, phylogenetic analysis, genome assembly, variant calling, and biological database queries for computational research.

cell-biology

Cell biology fundamentals including cell structure, membrane transport, cell signaling, cell cycle, apoptosis, and microscopy techniques for life science applications.

genetics

Classical and molecular genetics including Mendelian inheritance, population genetics, genetic linkage, mutation analysis, and evolutionary genetics for biological research.

molecular-biology

Molecular biology techniques including PCR, cloning, sequencing, gene expression, CRISPR, and cell culture for biotechnology applications.

analytical-chemistry

Quantitative and qualitative analysis of chemical substances using laboratory techniques and instrumentation

biochemistry

Biological chemistry including enzyme kinetics, metabolic pathways, protein structure, nucleic acid biochemistry, and molecular biology techniques for life science applications.

inorganic-chemistry

Inorganic chemistry fundamentals including coordination compounds, organometallic chemistry, crystal field theory, transition metal chemistry, and spectroscopy for chemistry applications.

organic-chemistry

Organic chemistry fundamentals including functional groups, reaction mechanisms, stereochemistry, synthesis planning, and molecular structure for chemistry applications.

physical-chemistry

Physical chemistry including quantum chemistry, molecular structure, spectroscopy, thermodynamics, and reaction kinetics for chemistry research applications.

cloud-security

Comprehensive cloud security practices including identity, network, data, and compliance controls

edge-computing

Distributed computing paradigm processing data closer to its source for reduced latency and bandwidth

multi-cloud

Expert-level knowledge and advanced techniques for Multi Cloud

serverless

Core foundational concepts and principles for Serverless

service-mesh

Service mesh infrastructure for microservices communication, observability, and traffic management

automata-theory

Study of abstract machines and computation models including finite automata, pushdown automata, Turing machines, regular languages, context-free languages, and computational limits

compilers

Design and implementation of compiler technology including lexical analysis, parsing, code generation, and optimization for translating high-level programming languages into efficient machine code