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aa/cli taste

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Cli taste of AA

  • Use pnpm as the package manager for CLI projects. Confidence: 1.00
  • Use TypeScript for CLI projects. Confidence: 0.95
  • Use tsup as the build tool for CLI projects. Confidence: 0.95
  • Use vitest for testing CLI projects. Confidence: 0.95
  • Use Commander.js for CLI command handling. Confidence: 0.95
  • Use clack for interactive user input in CLI projects. Confidence: 0.95
  • Check for existing CLI name conflicts before running npm link. Confidence: 0.95
  • Organize CLI commands in a dedicated commands folder with each module separated. Confidence: 0.95
  • Include a small 150px ASCII art welcome banner displaying the CLI name. Confidence: 0.95
  • Use lowercase flags for version and help commands (-v, --version, -h, --help). Confidence: 0.85
  • Start projects with version 0.0.1 instead of 1.0.0. Confidence: 0.85
  • Version command should output only the version number with no ASCII art, banner, or additional information. Confidence: 0.90
  • Read CLI version from package.json instead of hardcoding it in the source code. Confidence: 0.75
  • Always use ora for loading spinners in CLI projects. Confidence: 0.95
  • Use picocolors for terminal string coloring in CLI projects. Confidence: 0.90
  • Use Ink for building interactive CLI UIs in CommandCode projects. Confidence: 0.80
  • Use ink-spinner for loading animations in Ink-based CLIs. Confidence: 0.70
  • Hide internal flags from help: .addOption(new Option('--local').hideHelp()). Confidence: 0.90
  • Use pnpm.onlyBuiltDependencies in package.json to pre-approve native binary builds. Confidence: 0.60
  • Use ANSI Shadow font for ASCII art at large terminal widths and ANSI Compact for small widths. Confidence: 0.85
  • Use minimal white, gray, and black colors for ASCII art banners. Confidence: 0.85
  • Check if package is publishable using npx can-i-publish before building or publishing. Confidence: 0.85

Use Cases

Imported from source sync; refine manually if needed

Reference Output

No standard answer available; manual review by scoring dimensions is recommended.

Scoring Rubric

Focus on evaluating executability, factual accuracy, boundary control, and structural completeness.

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