What is the Build System Discovery skill?

It is an automated gateway that detects when you are working on build configurations and suggests specialized skills for specific tools like CMake, Maven, or Bazel.

Which build tools does this skill support?

It provides access to skills for Make, CMake, Gradle, Maven, Bazel, and general tasks related to compilation and incremental builds.

Can this help me optimize my build times?

Yes, this gateway can activate the build-optimization skill which focuses specifically on reducing build latency and improving incremental compilation.

How does progressive loading benefit my workflow?

Progressive loading minimizes context window usage by only loading specific build expertise when you need it, ensuring Claude remains fast and focused.

How do I see all available build skills?

You can manually browse the full directory by running 'cat ~/.claude/skills/build-systems/INDEX.md' within your Claude Code environment.

Build System Discovery

Name: Build System Discovery
Author: rand

byrand

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Deployment & DevOps

Automatically identifies and activates specialized build system skills for tools like Bazel, CMake, and Gradle to optimize compilation workflows.

About

Build System Discovery acts as an intelligent gateway within Claude Code, automatically surfacing relevant expertise when it detects build-related tasks. By monitoring for environment triggers like incremental builds, compilation, and specific configuration files, it enables a progressive loading architecture. This ensures Claude provides deep-domain guidance for tools like Maven, Bazel, and CMake while maintaining context efficiency by only loading the specific patterns required for your current project.

Key Features

Centralized indexing of 8+ specialized build-system skills
Direct access to build optimization and monorepo management patterns
Automatic detection of build system environments and triggers
Support for multi-language ecosystems including JVM and C++
Progressive loading architecture for high context efficiency
57 GitHub stars

Use Cases

Migrating complex legacy build systems to modern monorepo tools like Bazel
Optimizing incremental build performance for large-scale C++ or Java projects
Standardizing cross-platform build configurations across distributed engineering teams

About

Key Features

Centralized indexing of 8+ specialized build-system skills
Direct access to build optimization and monorepo management patterns
Automatic detection of build system environments and triggers
Support for multi-language ecosystems including JVM and C++
Progressive loading architecture for high context efficiency
57 GitHub stars

Use Cases

Migrating complex legacy build systems to modern monorepo tools like Bazel
Optimizing incremental build performance for large-scale C++ or Java projects
Standardizing cross-platform build configurations across distributed engineering teams