浏览 DaveSkender 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
8收录技能的仓库 Stars 合计
9,396仓库 Forks
2,121平均每个技能的仓库 Stars
1,175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。
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...
Testing conventions for Stock Indicators. Use for test naming (MethodName_StateUnderTest_ExpectedBehavior), FluentAssertions patterns, precision requirements, and test base class selection.
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.
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...
Implement BufferList incremental indicators with efficient state management. Use for IIncrementFromChain or IIncrementFromQuote implementations. Covers interface selection, constructor patterns, and BufferListT...
Create and register indicator catalog entries for automation. Use for Catalog.cs files, CatalogListingBuilder patterns, parameter/result definitions, and PopulateCatalog registration.
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...
Quality gates checklist for completing code work before finishing implementation cycles
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。