Build & Secure GitHub Actions CI/CD Pipelines
Builds GitHub Actions CI/CD pipelines: matrix strategies, security scanning, caching, conditional jobs, reusable workflows, and error handling.
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Why it matters
Automate your software delivery with robust, secure, and efficient GitHub Actions CI/CD pipelines. This asset specializes in creating complex workflows, managing secrets, and integrating security scanning.
Outcomes
What it gets done
Design and implement complex CI/CD workflows
Integrate security scanning and vulnerability checks
Optimize workflows for performance and caching
Manage secrets and environment configurations
Install
Add it to your toolbox
Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/vb-github-actions-workflow | bash After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.
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Overview
GitHub Actions Workflow Expert
Guides building GitHub Actions CI/CD pipelines - workflow syntax, matrix strategies, security scanning and scoped permissions, caching, monorepo-aware conditional deploys, error handling, and reusable workflows. Reach for this when building or hardening a GitHub Actions pipeline that needs matrix testing, security scanning, caching, conditional deploys, or shared reusable workflow components.
What it does
This skill guides building GitHub Actions CI/CD pipelines with proper structure and best practices. It covers core workflow syntax (triggers like push, pull_request, and workflow_dispatch with typed inputs, path filters, and workflow-level env variables), job dependencies via needs, and matrix strategies (strategy.matrix across OS and language versions with fail-fast: false and include overrides for extra combinations).
Security guidance covers scoped permissions blocks (contents: read, packages: write), OIDC-style AWS credential configuration (aws-actions/configure-aws-credentials with role-to-assume), and container vulnerability scanning with aquasecurity/trivy-action producing SARIF output. Performance optimization covers dependency and Docker-layer caching with actions/cache keyed on lockfile hashes and restore-keys fallbacks. Conditional execution patterns use dorny/paths-filter to detect which parts of a monorepo changed and gate backend/frontend deploy jobs accordingly, plus environment-based conditionals (github.ref == 'refs/heads/main' && 'production' || 'staging').
jobs:
deploy:
needs: [test, build]
if: github.ref == 'refs/heads/main'
environment: production
runs-on: ubuntu-latest
Error handling covers retry logic (nick-invision/retry with max_attempts), always-run artifact uploads (if: always()), and failure notifications (8398a7/action-slack on if: failure()). Reusability is covered through workflow_call-triggered reusable workflows with typed inputs, secrets, and outputs, plus advanced patterns like concurrency groups to prevent overlapping deployments and dynamic matrix generation from a prior job's JSON output (fromJson(needs.setup.outputs.matrix)).
When to use - and when NOT to
Use this skill when building or hardening a GitHub Actions pipeline that needs matrix testing across environments, security scanning and least-privilege permissions, dependency/build caching, monorepo-aware conditional deploys, retry/notification handling, or reusable workflow components shared across repos. It is well suited to teams standardizing CI/CD conventions across multiple services.
It is not the right fit for a trivial single-job workflow (e.g. running one linter on every push) where the full matrix/caching/reusable-workflow machinery would be unnecessary overhead, or for CI systems other than GitHub Actions, since the syntax and actions referenced here are GitHub-specific.
Inputs and outputs
Input: the project's build/test/deploy requirements (languages/OS matrix, security scanning needs, caching targets, deployment environments and conditions, notification channels). Output: one or more .github/workflows/*.yml files defining triggers, jobs with dependencies and matrix strategies, scoped permissions, caching steps, conditional deploy jobs, error-handling steps (retry, artifact upload, failure notification), and optionally a reusable workflow_call workflow consumed by other pipelines.
Integrations
Built on GitHub Actions' native YAML workflow syntax and marketplace actions: actions/checkout, actions/setup-node, actions/cache, actions/upload-artifact, aws-actions/configure-aws-credentials, aquasecurity/trivy-action, dorny/paths-filter, nick-invision/retry, and 8398a7/action-slack for Slack notifications.
Who it's for
DevOps and platform engineers building or maintaining CI/CD pipelines on GitHub Actions - particularly teams needing matrix testing, security scanning, monorepo-aware conditional builds, and reusable workflow components across multiple repositories.
FAQ
Common questions
Discussion
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