Генератор рабочих процессов GitHub Actions

ДанныеРазработчикТекст
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The workflow's display name in the Actions tab.
Comma-separated runtime versions for the matrix (e.g. Node 20, 22).

Triggers
Comma-separated branches that trigger the workflow on push.
Branches that pull requests must target.
POSIX cron, UTC. Example: 0 4 * * 1 runs Mondays at 04:00 UTC.

Job Steps
Comma-separated runner labels for the matrix (e.g. ubuntu-latest, macos-latest, windows-latest).
Leave empty to use a sensible default for the selected stack.
Leave empty to use a sensible default for the selected stack.
Leave empty to use a sensible default for the selected stack.
Deploy job only runs on this branch and after tests pass.
Shell command to perform the deploy.

Дополнительные настройки
Workflow-level env. Use ${{ secrets.NAME }} to reference a secret.
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Гид

GitHub Actions Workflow Generator

Генератор рабочих процессов GitHub Actions

Compose a valid .github/workflows/main.yml file from a guided form. Pick a language stack, choose triggers, toggle lint/test/build/deploy steps, and the generator emits a syntactically correct workflow you can drop straight into a repository.

Как использовать

  1. Set a Workflow Name (this becomes the label in the Actions tab).
  2. Выберите Куча — Node.js, Python, Go, Rust, PHP, Ruby, Java, or .NET. Defaults for install/test/build commands are filled in automatically.
  3. Enter the runtime Версии you want to test against (comma separated, e.g. 20, 22).
  4. Выбрать Triggers: push, pull_request, scheduled cron, and manual workflow_dispatch.
  5. Tick the Линт, Тест, Строитьи Deploy steps you need. Override the suggested commands if your project uses different scripts.
  6. Copy the YAML or download it as main.yml and commit it under .github/workflows/ in your repository.

Возможности

  • Stack-aware defaults – The generator picks the correct setup action (setup-node, setup-python, setup-go, etc.) and sensible install/test/build commands for the language you select.
  • Matrix builds – Test across multiple OS runners (Ubuntu, macOS, Windows) and runtime versions in a single workflow.
  • Trigger composer – Mix and match push, pull_request, schedule (cron, UTC), and workflow_dispatch with branch filters.
  • Dependency caching – Optional cache wiring for npm, pip, Go modules, Cargo, Composer, Bundler, and Maven/Gradle.
  • Concurrency control – Cancel in-progress runs on the same ref so you don’t burn minutes on stale commits.
  • Deploy job – Optional follow-up job gated on a specific branch with needs: build, ideal for CD pipelines.
  • Env & secrets – Workflow-level environment variables with support for ${{ secrets.NAME }} references.
  • Client-side – YAML is assembled in the browser; nothing is sent to a server.

Часто задаваемые вопросы

  1. What is a GitHub Actions workflow?

    A workflow is a YAML file stored in .github/workflows/ that defines automated jobs triggered by repository events. Each workflow declares one or more jobs, and each job is a sequence of steps that runs on a hosted runner. GitHub parses the YAML and orchestrates the execution; the file is the source of truth for what runs, when, and how.

  2. What is a matrix strategy?

    A matrix strategy expands one job into multiple parallel runs over a cross product of variables. The most common use is testing across operating systems and language versions in a single declaration. The runner substitutes ${{ matrix.* }} references at runtime, so each combination produces an isolated, parallel execution.

  3. How do GitHub Actions triggers work?

    Triggers are events that cause a workflow to start. push and pull_request fire on repository changes, schedule runs on a POSIX cron expression in UTC, and workflow_dispatch enables manual runs from the Actions UI or API. A single workflow can subscribe to multiple triggers and filter them by branch, tag, or path.

  4. Why use dependency caching in CI?

    Caching reuses package downloads across runs so the install step does not re-fetch every dependency from a registry on each build. This typically cuts setup time from minutes to seconds and reduces flaky failures from upstream registry hiccups. Caches are keyed on lockfile hashes so stale dependencies are invalidated automatically.

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