Is knowledge of GraphQL required to use this skill?

While Dagger uses a GraphQL-based API internally, this skill provides the necessary context on how the dagql implementation works, making it useful for both beginners and advanced users.

When should I use the Dagger Cache Expert skill?

Use it when you need to improve pipeline performance, understand why a specific build step isn't caching, or when developing low-level features within the Dagger codebase.

What is the primary purpose of the Dagger Cache Expert skill?

It helps developers understand and optimize the Dagger Engine's caching system, specifically focusing on how operations are transformed into immutable IDs and digests for deterministic results.

How does this skill assist in debugging cache misses?

The skill provides specific references and strategies for analyzing the DAG, understanding digest mismatches, and investigating how the dagql server handles result storage.

Does this skill cover both local and cloud execution?

Yes, because Dagger's caching logic is based on immutable operation IDs, the principles provided apply whether you are running Dagger locally, in CI, or via Dagger Cloud.

Dagger Cache Expert

Name: Dagger Cache Expert
Author: dagger

bydagger

•

15,356

デプロイメントとDevOps

Optimizes build performance by mastering Dagger Engine caching internals, immutable DAG models, and cache key derivation.

概要

The Dagger Cache Expert skill provides specialized knowledge for navigating the Dagger Engine's sophisticated caching architecture. Built on a functional programming model where operations and inputs are immutable, this skill explains how Directed Acyclic Graphs (DAGs) are serialized into IDs and digests to enable deterministic caching. It is essential for developers debugging complex cache misses, implementing engine-level features, or seeking to understand the dagql GraphQL server implementation. By leveraging this skill, users can ensure their CI/CD pipelines are as efficient as possible through precise control over invalidation and storage logic.

主な機能

Provides deep dives into the dagql GraphQL server and its execution model
Explains the derivation of cache keys from immutable operation IDs and digests
Offers diagnostic techniques for debugging unexpected cache misses in CI/CD
Guides implementation of new engine features involving the DAG model
Details the underlying cache storage mechanisms and result persistence
15,356 GitHub stars

ユースケース

Troubleshooting performance bottlenecks in complex Dagger-based build pipelines
Designing custom Dagger Engine extensions that require deep integration with cache storage
Analyzing build dependency chains to minimize frequent or unnecessary cache invalidations

概要

主な機能

Provides deep dives into the dagql GraphQL server and its execution model
Explains the derivation of cache keys from immutable operation IDs and digests
Offers diagnostic techniques for debugging unexpected cache misses in CI/CD
Guides implementation of new engine features involving the DAG model
Details the underlying cache storage mechanisms and result persistence
15,356 GitHub stars

ユースケース

Troubleshooting performance bottlenecks in complex Dagger-based build pipelines
Designing custom Dagger Engine extensions that require deep integration with cache storage
Analyzing build dependency chains to minimize frequent or unnecessary cache invalidations