What kind of performance metrics does it track?

It monitors build time, test duration, test coverage, and artifact size, using a moving average baseline to detect and block performance regressions.

What is the recommended coverage threshold for the quality gate?

The skill defaults to a 75-80% coverage threshold but is fully configurable to match your specific project requirements.

Will this help me automate my changelogs?

Absolutely. It uses a conventional commit parser to automatically generate release notes and update your CHANGELOG.md file without manual intervention.

Does this skill support platforms other than GitHub Actions?

Yes, while the templates are GitHub-native, the underlying methodology and scripts are 70-80% transferable to GitLab CI and Jenkins.

How does it help with broken releases reaching production?

It implements a 25-point smoke testing suite and mandatory quality gates that block merges if coverage, linting, or build verification tests fail.

CI/CD Pipeline Optimization

Name: CI/CD Pipeline Optimization
Author: yaleh

byyaleh

•

Despliegue y DevOps

Automates and optimizes CI/CD pipelines with quality gates, release automation, and performance observability to ensure stable, high-speed software delivery.

Acerca de

This skill transforms manual, slow release processes into automated, high-performance pipelines using a validated methodology. It implements five categories of quality gates—including coverage thresholds and lint blocking—while automating changelog generation and versioning through conventional commits. Designed primarily for GitHub Actions but adaptable to other platforms, it features performance tracking with regression detection and a suite of 25 smoke tests to prevent defects from reaching production, resulting in significant speedups for engineering teams.

Características Principales

CI observability with metrics tracking and performance regression detection
Automated quality gates for coverage, linting, and build verification
Build performance optimization strategies for cross-platform projects
Release automation using conventional commits and auto-changelogs
Comprehensive 25-point smoke testing suite for binary stability
15 GitHub stars

Casos de Uso

Enforcing strict code quality and coverage thresholds across development teams
Reducing CI/CD build times and detecting performance bottlenecks automatically
Transitioning from manual release workflows to fully automated deployment pipelines

Acerca de

Características Principales

CI observability with metrics tracking and performance regression detection
Automated quality gates for coverage, linting, and build verification
Build performance optimization strategies for cross-platform projects
Release automation using conventional commits and auto-changelogs
Comprehensive 25-point smoke testing suite for binary stability
15 GitHub stars

Casos de Uso

Enforcing strict code quality and coverage thresholds across development teams
Reducing CI/CD build times and detecting performance bottlenecks automatically
Transitioning from manual release workflows to fully automated deployment pipelines