Results for “pattern-classification”
30 skills
dotnet analyzing-dotnet-performance
Scans C#/.NET code for ~50 performance anti-patterns across async, memory, strings, collections, LINQ, regex, serialization, and I/O with tiered severity classification.
4k · bundle
adobe scheduler
Guides migration of AEM Cloud Service schedulers from legacy patterns to OSGi-compliant Sling Scheduler or Sling Jobs, with classification, review checklists, and troubleshooting.
142 · bundle
timlai666 aeon
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
1 · bundle
More results
levalencia aeon
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
3 · bundle
a5c-ai debugging-patterns
Pattern-Based Diagnosis
1.7k · bundle
owl-listener pattern-library
Structure a pattern library entry with problem context, solution pattern, usage examples, and related patterns.
1.7k
jackychenlu aeon
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
0 · bundle
richardnguyen0715 pattern-adoption
Adapt and integrate a specific pattern from your references into your current codebase. Use when you've identified a pattern worth adopting and need a structured plan to integrate it with minimal disruption.
0
bobmatnyc software-patterns
Compare tradeoffs and recommend architectural patterns — dependency injection, service-oriented architecture, repository, domain events, circuit breaker, and anti-corruption layer. Use when choosing between design patterns, planning microservices boundaries, evaluating system design alternatives, or asking 'which pattern should I use' for a specific coupling or resilience problem.
71 · bundle
affaan-m jpa-patterns
Provides JPA/Hibernate patterns for entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and pooling in Spring Boot.
226k
affaan-m django-patterns
Provides production-grade Django architecture patterns including project structure, model design, REST API design with DRF, ORM best practices, caching, signals, and middleware.
226k
affaan-m prisma-patterns
Provides production patterns and non-obvious traps for Prisma ORM in TypeScript backends, covering schema design, query optimization, transactions, pagination, and common pitfalls.
226k
jiachen-t-wang curriculum-learning-crossref-icml-2009-curriculum
Curriculum Learning
6
oxoyo aa-clazz
通用分类法抽象接口。当定义分类系统、分类结构或分层分类框架时调用此技能。
1 · bundle
mesteriis deserialization-parser-review
Reviews parsers, deserialization, uploads, archives, YAML/JSON/XML/pickle, paths, templates, SSRF, and unsafe loaders.
0 · bundle
wondelai refactoring-patterns
Apply named refactoring transformations to improve code structure without changing behavior, guided by code smells and safe transformation sequences.
1.6k · bundle
affaan-m ai-regression-testing
Prevents AI-introduced regressions with sandbox-mode API testing, automated bug-check workflows, and patterns that catch blind spots where the same model writes and reviews code.
226k
anantha-236 jpa-patterns
JPA/Hibernate patterns for entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and pooling in Spring Boot.
1
mhassan0000 jpa-patterns
Provides JPA/Hibernate patterns for Spring Boot data modeling, including entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and connection pooling.
1
rajanthar jpa-patterns
JPA/Hibernate patterns for entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and pooling in Spring Boot.
0
auto-skiller verification-patterns
Provides grep-based patterns to verify that code artifacts are real implementations rather than stubs or placeholders, covering React components, API routes, database schemas, and hooks.
1
azusagasaku postgres-patterns
用于查询优化、模式设计、索引和安全性的PostgreSQL数据库模式。基于Supabase最佳实践。
0
azusagasaku prisma-patterns
TypeScript 后端的 Prisma ORM 模式——Schema 设计、查询优化、事务、分页、迁移与测试
0
snoodleboot-io ensemble-methods
Expected error decomposes into bias, variance, and irreducible noise.
2
sakamoto-family-smile mysql-patterns
Provides MySQL and MariaDB schema, query, indexing, transaction, replication, and connection-pool patterns for production backends.
0
ekatasingh1107 lead-qualifier
Multi-dimensional lead qualification scoring. Evaluates leads against BANT criteria, firmographic fit, behavioral signals, and intent indicators. Outputs qualified/disqualified verdict with detailed reasoning.
2 · bundle
0xharryriddle haskell-pro
Use when implementing haskell functionality with production-grade patterns and safeguards.
3
metinduraktr-44 aeon
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
0 · bundle
alterlab-ieu alterlab-aeon
Runs time series machine learning with the aeon library — classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search via scikit-learn compatible APIs. Use when working with temporal data, sequential patterns, or time-indexed observations (univariate or multivariate) that need specialized algorithms beyond standard ML approaches. Part of the AlterLab Academic Skills suite.
60 · bundle
chen-yu-hao aeon
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
5 · bundle