Can this handle complex monorepo structures?

Yes, it is specifically designed to manage high-complexity environments like monorepos using directory discovery and dynamic matrix generation.

How much can I expect to save on build jobs?

Depending on your project structure, these patterns can reduce matrix builds from dozens of jobs to just a few, often achieving savings between 60% and 90%.

What is the main benefit of this skill?

It drastically reduces CI/CD runtimes and costs by ensuring only necessary jobs are executed based on the specific files changed in a pull request or commit.

Does it work with standard GitHub Actions?

Yes, it provides implementation patterns for native GitHub Actions features and popular community tools like the Dorny Paths Filter.

Matrix Filtering & Deduplication

Name: Matrix Filtering & Deduplication
Author: adaptive-enforcement-lab

byadaptive-enforcement-lab

0•

Deployment & DevOps

Optimizes GitHub Actions matrices by dynamically generating jobs based on path changes and eliminating redundant build combinations.

This skill empowers Claude to optimize complex CI/CD pipelines by implementing smart matrix strategies in GitHub Actions. It leverages path-based filtering, dynamic matrix generation, and job deduplication to significantly reduce CI runtimes and compute costs. By analyzing repository structure and dependencies, it ensures that only relevant tests and builds are triggered for specific changes, transforming bloated workflows into efficient, scalable automation processes suitable for monorepos and multi-service architectures.

Key Features

01Dynamic matrix generation based on specific file changes

02Conditional expansion for event-specific rigor between PRs and pushes

030 GitHub stars

04Path-based filtering to trigger only relevant workflow jobs

05Automated directory discovery for auto-scaling monorepo workflows

06Redundant job deduplication to minimize unnecessary compute usage

Use Cases

01Implementing efficient path-dependent testing for shared library dependencies

02Optimizing cross-platform build strategies to skip unchanged environments

03Reducing CI/CD costs and wait times in large microservice monorepos

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add adaptive-enforcement-lab/claude-skills matrix-filtering-and-deduplication

For use in Claude.ai and ChatGPT

Key Features

01Dynamic matrix generation based on specific file changes

02Conditional expansion for event-specific rigor between PRs and pushes

030 GitHub stars

04Path-based filtering to trigger only relevant workflow jobs

05Automated directory discovery for auto-scaling monorepo workflows

06Redundant job deduplication to minimize unnecessary compute usage

Use Cases

01Implementing efficient path-dependent testing for shared library dependencies

02Optimizing cross-platform build strategies to skip unchanged environments

03Reducing CI/CD costs and wait times in large microservice monorepos

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add adaptive-enforcement-lab/claude-skills matrix-filtering-and-deduplication

For use in Claude.ai and ChatGPT