Spark is designed as a stack-agnostic project foundation for building and scaling open-source projects with clarity.
spark/
├── .github/
│ ├── ISSUE_TEMPLATE/
│ ├── workflows/
│ ├── CODEOWNERS
│ └── pull_request_template.md
├── docs/
│ ├── ARCHITECTURE.md
│ ├── API.md
│ ├── FAQ.md
│ ├── I18N.md
│ ├── RELEASE_READINESS.md
│ └── SHOWCASE.md
├── examples/
│ ├── README.md
│ ├── basic-usage/
│ ├── advanced-config/
│ └── integrations/
├── benchmarks/
│ └── benchmark_validation.py
├── spark/
│ ├── core.py
│ ├── plugins.py
│ ├── integrations.py
│ └── i18n.py
├── tests/
│ └── test_*.py
├── CHANGELOG.md
├── CODE_OF_CONDUCT.md
├── CONTRIBUTING.md
├── LICENSE
├── README.md
├── ROADMAP.md
├── SECURITY.md
└── SUPPORT.md
README.md: first impression, mission, quick start, and navigationdocs/ARCHITECTURE.md: high-level system and decision contextdocs/API.md: API surface for core toolkit modulesdocs/FAQ.md: repeated questions and onboarding shortcutsdocs/SHOWCASE.md: real-world project visibility and social proofci.yml runs markdown lint, required-file validation, and Python testsrelease.yml automates release creation from semantic tagsIf you propose structural changes: