What does the Developing Bazel Rules skill help with?

It provides implementation patterns and best practices for creating custom Bazel rules, providers, aspects, and toolchains using Starlark.

Does this skill help with Bazel performance issues?

Yes, it specifically highlights how to use depsets correctly to avoid quadratic complexity during the analysis phase, which is a common cause of slow builds.

What are the core Bazel concepts covered?

The skill covers the three build phases (Loading, Analysis, Execution), providers for target communication, depsets for transitive data, and action registration.

Can I use this to integrate a new language into Bazel?

Absolutely. The skill covers how to define rules that transform inputs into outputs and how to register the necessary actions for new language compilers.

Developing Bazel Rules

Name: Developing Bazel Rules
Author: gaarutyunov

bygaarutyunov

Deployment & DevOps

Streamlines the creation and optimization of custom Bazel build rules, toolchains, and Starlark implementations.

About

The Developing Bazel Rules skill provides comprehensive guidance for engineers looking to extend the Bazel build system. It offers deep expertise in Starlark rule implementation, helping users navigate the complexities of loading, analysis, and execution phases. By following established patterns for providers, depsets, and action registration, this skill ensures that custom build logic remains performant and scalable. It is particularly useful for teams integrating new programming languages, wrapping proprietary tools, or implementing cross-cutting concerns through Bazel aspects.

Key Features

Starlark rule implementation patterns
Custom toolchain and provider development
Cross-cutting concern implementation with aspects
Analysis phase action registration guidance
0 GitHub stars
Efficient transitive data collection using depsets

Use Cases

Optimizing build performance by replacing list concatenation with depsets
Extending Bazel to support a new compiler or programming language
Creating custom toolchains to manage external SDKs or runtime environments

About

Key Features

Starlark rule implementation patterns
Custom toolchain and provider development
Cross-cutting concern implementation with aspects
Analysis phase action registration guidance
0 GitHub stars
Efficient transitive data collection using depsets

Use Cases

Optimizing build performance by replacing list concatenation with depsets
Extending Bazel to support a new compiler or programming language
Creating custom toolchains to manage external SDKs or runtime environments