24 tagged pipelines, measured the same way as everything else here.
Browse within: python 10data 9Multimodal 8caching 8metadata 8ci-cd 5
Skill Claude CodeCodex
This skill should be used when the user asks to "define a feature", "create a BaseFeature class", "track feature versions", "set up metadata store", "field-level lineage", "FieldSpec", "FeatureDep", "run metaxy CLI", "metaxy migrations", "metaxy lock", "lock features", "external features", "multi-environment"…
Skill Claude CodeCodex
Effectively use Narwhals to write dataframe-agnostic code that works seamlessly across multiple Python dataframe libraries. Write correct type annotations for code using Narwhals.
Skill Claude CodeCodex
Use syrupy for pytest snapshot testing to ensure the immutability of computed results, manage snapshots, customize serialization, and handle complex data structures with built-in matchers and filters.
Skill Claude CodeCodex
Guide for designing, building, and maintaining reliable data pipelines.
Skill Claude CodeCodex
Build AI pipelines with the ComposablePipelines Swift package — author a declarative Pipeline (result-builder DSL + @State), compile it to a graph, and run it through an Executor. Use when writing or debugging ComposablePipelines code: Pipeline/Model/Guardrail/While/ForEach/ClientTask, @State data flow, the Executor…