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ci-cd-patterns

CI/CD pipeline patterns, workflow configuration, and release automation best practices

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Repository
pan94u/forge
Last source activity
February 22, 2026 at 23:35
Detected SKILL.md language
English
Stars
40
Forks
10

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SKILL.md
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name
ci-cd-patterns
version
2.0
scope
platform
category
delivery
profile
deployment
description
CI/CD pipeline patterns, workflow configuration, and release automation best practices
tags
["ci-cd","github-actions","pipelines","automation"]
required_tools
["forge-knowledge.search_wiki"]
## Purpose This skill provides the agent with knowledge of CI/CD pipeline patterns and workflow configuration best practices. When the agent needs to create, modify, or review CI/CD pipelines (primarily GitHub Actions), it should apply these patterns to ensure reliable, secure, and efficient build and deployment automation. ## Instructions When working on CI/CD pipelines: 1. **Pipeline Structure**: - Separate build, test, and deploy stages clearly - Use job dependencies to enforce execution order - Run independent jobs in parallel where possible - Use reusable workflows for shared pipeline logic - Keep pipeline definitions DRY with composite actions 2. **Build Stage**: - Pin action versions to specific SHA hashes for security - Cache dependencies (Gradle, npm, Docker layers) aggressively - Use matrix builds for multi-version testing - Build container images with multi-stage Dockerfiles - Tag images with git SHA and semantic version 3. **Test Stage**: - Run unit tests with coverage reporting - Run integration tests in isolated environments - Gate merges on minimum coverage thresholds - Use test splitting for large test suites - Archive test reports as artifacts 4. **Security Checks**: - Run dependency vulnerability scanning (Dependabot, Trivy) - Run static analysis (detekt for Kotlin, ESLint for TypeScript) - Scan container images for vulnerabilities before pushing - Use OIDC for cloud provider authentication (no long-lived secrets) - Store secrets in GitHub Secrets, never in workflow files 5. **Deployment Stage**: - Use environment protection rules for production deployments - Require manual approval for production releases - Implement canary or blue-green deployment where supported - Run smoke tests after deployment - Enable automatic rollback on smoke test failure 6. **Release Management**: - Use semantic versioning for releases - Generate changelogs automatically from conventional commits - Create GitHub releases with attached artifacts - Notify relevant channels (Slack, Teams) on deployment ## Quality Criteria - All action versions are pinned to SHA hashes - Secrets are accessed through GitHub Secrets, never hardcoded - Dependency caching is configured to reduce build times - Test coverage gates are enforced - Production deployments require approval - Rollback procedures are automated ## Anti-patterns - Using `@main` or `@latest` for action versions - Storing secrets in workflow YAML files - Skipping tests to speed up the pipeline - Deploying directly to production without staging - Missing dependency caching (slow builds) - No rollback mechanism for failed deployments
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