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DaveSkender AI Skills

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Explorez les skills IA publiés de DaveSkender et consultez leurs instructions source.

Statistiques de l’auteur

Skills indexés

8

Étoiles des dépôts des skills indexés

9,396

Forks du dépôt

2,121

Moyenne des étoiles par skill indexé

1,175

Les étoiles d’un dépôt peuvent se répéter entre ses skills.

8 skills

Explorer

GitHub

indicator-stream

DaveSkender

Implement StreamHub real-time indicators with O(1) performance. Use for ChainHub or QuoteProvider implementations. Covers provider selection, RollbackState patterns, performance anti-patterns, and comprehensive...

GitHub

testing-standards

DaveSkender

Testing conventions for Stock Indicators. Use for test naming (MethodName_StateUnderTest_ExpectedBehavior), FluentAssertions patterns, precision requirements, and test base class selection.

GitHub

performance-testing

DaveSkender

Benchmark indicator performance with BenchmarkDotNet. Use for Series/Buffer/Stream benchmarks, regression detection, and optimization patterns. Target 1.5x Series for StreamHub, 1.2x for BufferList.

GitHub

indicator-series

DaveSkender

Implement Series-style batch indicators with mathematical precision. Use for new StaticSeries implementations or optimization. Series results are the canonical reference—all other styles must match exactly. Foc...

GitHub

indicator-buffer

DaveSkender

Implement BufferList incremental indicators with efficient state management. Use for IIncrementFromChain or IIncrementFromQuote implementations. Covers interface selection, constructor patterns, and BufferListT...

GitHub

indicator-catalog

DaveSkender

Create and register indicator catalog entries for automation. Use for Catalog.cs files, CatalogListingBuilder patterns, parameter/result definitions, and PopulateCatalog registration.

GitHub

indicator-stream

DaveSkender

Implement StreamHub real-time indicators with O(1) performance. Use for ChainHub or QuoteProvider implementations. Covers provider selection, RollbackState patterns, performance anti-patterns, and comprehensive...

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.