@clack/prompts

Opinionated, ready-to-use interactive prompt components for building beautiful command-line apps in Node.js.

Library
npm
v1.8.1
8,076 stars
MIT License

Repository Health

Pre-computed score based on development activity, maintenance, community, maturity, and trend momentum. How we score it →
79 /100 Good
Development Activity 80
Maintenance 88
Community 56
Maturity 52
Momentum 40

Technical Analysis

AI-assessed by reading the actual repository — architecture, code quality, innovation, and documentation. How we score it →
89 /100 Excellent
Architecture 88
Code Quality 90
Innovation 92
Learning Curve 90

@clack/prompts is a small, opinionated library of pre-styled interactive prompt components for Node.js command-line applications. It wraps the headless @clack/core primitives with a beautiful, minimal terminal UI and a simple, consistent API, giving you text, password, confirm, date, select, multiselect, autocomplete, path, spinner, and progress components out of the box.

At roughly 80% smaller than comparable prompt libraries, it is designed to be dropped into CLI tools, scaffolding generators, and setup wizards with minimal boilerplate. Every prompt follows the same option-object pattern, ships with first-class TypeScript types, and integrates cancellation handling, grouping, task runners, and streaming log output.

What You Get

  • A complete set of prompt components: text, password, confirm, date, select, selectKey, multiselect, groupMultiselect, autocomplete, path, spinner, and progress.
  • Utility helpers for intro/outro framing, cancellation guards (isCancel/cancel), prompt grouping, task runners, and streaming log output.
  • First-class TypeScript types with a consistent option-object API across every component.
  • Automatic Unicode and CI-environment fallbacks so prompts render correctly across terminals.

Common Use Cases

  • Building create-* scaffolding CLIs and project generators that ask the user a series of configured questions.
  • Adding interactive setup wizards or configuration flows to developer tooling and internal scripts.
  • Surfacing long-running work with spinners, progress bars, and task lists during installs or builds.

Under The Hood

Architecture

@clack/prompts is the styled layer of a two-package monorepo: it re-exports headless interaction primitives from @clack/core (isCancel, settings, block, getColumns) and wraps them with terminal styling. Each prompt lives in its own module under packages/prompts/src (text.ts, select.ts, spinner.ts, autocomplete.ts, and so on), all barrel-exported from index.ts. Rendering is driven by ANSI escape sequences via sisteransi for cursor and erase control, Node’s built-in node:util styleText for color, and fast-wrap-ansi / fast-string-width for correct width-aware wrapping. Shared symbols and CI/Unicode fallbacks are centralized in common.ts, so components like spinner.ts degrade gracefully to ASCII frames when Unicode or a CI environment is detected.

Tech Stack

Written entirely in TypeScript (99.99% of the codebase) and shipped ESM-only, built with unbuild. Runtime dependencies are deliberately minimal: @clack/core (workspace peer), fast-string-width, fast-wrap-ansi, and sisteransi. The monorepo uses pnpm workspaces, Biome for lint/format, and requires Node >= 20.12. Versioning and changelogs are managed with Changesets.

Code Quality

Test coverage is strong: packages/prompts/test contains a dedicated Vitest spec for nearly every component (text, select, multi-select, autocomplete, date, password, spinner, path, and more), backed by snapshot fixtures and a vitest-ansi-serializer plus memfs mocks for filesystem-dependent prompts like path. Public options and results are expressed as exported TypeScript interfaces (e.g. SpinnerOptions, SpinnerResult), and default behavior is factored through option destructuring with sensible fallbacks.

API Design

The developer experience is the library’s standout trait. Every prompt is an async function taking a single option object with a shared vocabulary (message, validate, initialValue, options), so the mental model transfers across components. Cancellation is handled with one consistent pattern — the isCancel guard plus the cancel helper — and higher-level ergonomics (group, tasks, stream, log, intro/outro) reduce boilerplate for multi-step flows. Documentation in the README is example-first, and a StackBlitz demo lets users try it without installing.

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