data-engineering
ETL pipelines, Apache Spark, data warehousing, and big data processing. Use for building data pipelines, processing large datasets, or data infrastructure.
浏览 pluginagentmarketplace 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。
已收录技能
678收录技能的仓库 Stars 合计
1,622仓库 Forks
216平均每个技能的仓库 Stars
2同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。
ETL pipelines, Apache Spark, data warehousing, and big data processing. Use for building data pipelines, processing large datasets, or data infrastructure.
Neural networks, CNNs, RNNs, Transformers with TensorFlow and PyTorch. Use for image classification, NLP, sequence modeling, or complex pattern recognition.
Text processing, sentiment analysis, LLMs, and NLP frameworks. Use for text classification, named entity recognition, or language models.
ARIMA, SARIMA, Prophet, trend analysis, seasonality detection, anomaly detection, and forecasting methods. Use for time-based predictions, demand forecasting, or temporal pattern analysis.
Probability, distributions, hypothesis testing, and statistical inference. Use for A/B testing, experimental design, or statistical validation.
Supervised/unsupervised learning, model selection, evaluation, and scikit-learn. Use for building classification, regression, or clustering models.
Q-learning, DQN, PPO, A3C, policy gradient methods, multi-agent systems, and Gym environments. Use for training agents, game AI, robotics, or decision-making systems.
Image processing, object detection, segmentation, and vision models. Use for image classification, object detection, or visual analysis tasks.
Quantization, pruning, AutoML, hyperparameter tuning, and performance optimization. Use for improving model performance, reducing size, or automated ML.
Production-grade skill for the C++ Standard Template Library. Covers containers, algorithms, iterators, and utilities for efficient data manipulation.
Production-grade skill for C++ debugging. Covers GDB, LLDB, sanitizers, memory debugging, crash analysis, and systematic bug investigation techniques.
Production-grade C++ testing expertise including unit testing, mocking, TDD, BDD, fuzzing, benchmark testing, coverage analysis, and CI integration.
Production-grade skill for C++ build infrastructure. Covers CMake, Make, Ninja, package managers (Conan, vcpkg), cross-platform builds, and CI/CD integration.
Production-grade skill for Object-Oriented Programming in C++. Covers classes, inheritance, polymorphism, encapsulation, SOLID principles, and design patterns.
Production-grade skill for modern C++ development with C++11 through C++23 features. Covers move semantics, smart pointers, lambdas, concepts, ranges, coroutines, and modules.
Production-grade skill for C++ performance optimization. Covers profiling, benchmarking, cache optimization, SIMD vectorization, multithreading, and lock-free programming techniques.
Production-grade skill for algorithm design and data structure implementation in C++. Covers complexity analysis, sorting, searching, graphs, dynamic programming, and STL algorithm mastery.
Production-grade skill for safe and efficient C++ memory management. Covers RAII, smart pointers, custom allocators, memory pools, and leak detection techniques.
Production-grade skill for C++ concurrency and parallel programming. Covers threads, synchronization primitives, atomics, async programming, parallel algorithms, and lock-free data structures.
Production-grade skill for C++ fundamentals. Covers variables, data types, operators, control flow, functions, and program structure. Foundation for all C++ development.
Production-grade skill for C++ template programming and metaprogramming. Covers function/class templates, variadic templates, SFINAE, concepts, type traits, and compile-time computation.
Angular performance optimization, change detection strategies, and bundle optimization
Write unit tests for components and services, implement E2E tests with Cypress, set up test mocks, optimize production builds, configure CI/CD pipelines, and deploy to production platforms.
Angular application deployment, CI/CD pipelines, and hosting strategies
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。