Generate CI/CD pipelines with lint, build, test, and deploy stages.
npx skills add https://github.com/mahg-es/araya --skill cicd-pipeline-mahg-es
Please help me install this Agent Skill. Skill: cicd-pipeline Source: https://github.com/mahg-es/araya/tree/main/skills/cicd-pipeline Command: npx skills add https://github.com/mahg-es/araya --skill cicd-pipeline-mahg-es
Manual builds and deployments are error-prone, slow, and unreproducible. This skill produces CI/CD pipelines that run on every push — building, testing, scanning, and deploying with quality gates that block unsafe changes.
Provide your project language, framework, test runner, and deployment target to generate CI/CD pipelines.
High-intent search queries and answers about installing and using this skill.
Automating a CI/CD pipeline for GitHub Actions involves defining build, test, and deployment stages in a workflow file. This skill generates these configurations automatically, incorporating quality gates and security scans to block unsafe changes on every push.
In an automated pipeline, CI stages run lint, build, test, and security-scan tasks on every push. CD stages handle continuous deployment by building images, deploying to staging, running smoke tests, and finally deploying to production with gate checks.
Yes, you can use GitLab CI to automate deployments to staging and production. This skill configures GitLab CI pipelines with necessary CD stages, smoke tests, and rollback support to ensure safe automated deployments.
You can add PR validation rules by enforcing branch naming, required reviews, and quality gates in your CI configuration. This skill applies these validation rules to existing repositories, ensuring unsafe changes are blocked before merging.
You need to provide your project language, framework, test runner, and deployment target to generate a CI/CD pipeline. This information allows the skill to produce tailored pipeline configurations with appropriate build, test, and deploy stages.
Manual builds fail because they are error-prone, slow, and unreproducible. Pipeline automation prevents this by running consistent build, test, and deployment tasks on every push, using quality gates to block unsafe changes.
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