stacks-strings

Automate string transformation, validation, and formatting for Stacks applications.

622|17|Updated Apr 26, 2022
One-click install
npx skills add https://github.com/stacksjs/stacks --skill stacks-strings
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: stacks-strings
Source: https://github.com/stacksjs/stacks/tree/main/.claude/skills/stacks-strings
Command: npx skills add https://github.com/stacksjs/stacks --skill stacks-strings

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Efficiently manage and normalize textual data in Stacks apps by centralizing and standardizing common string operations (case conversion, pluralization, validation, slugging, interpolation, and random strings), reducing boilerplate and preventing inconsistencies.

Core Features & Use Cases

  • Case conversion across camelCase, PascalCase, snake_case, kebab-case, and more for UI labels, routes, and API payloads.
  • Pluralization and singularization with rules to ensure natural language strings adapt to counts in UI, logs, and messages.
  • Validation helpers for emails, URLs, UUIDs, and other identifiers, plus slug generation and random string generation for IDs or tokens.
  • Template interpolation and the Str facade for consistent string transformations across the codebase.

Quick Start

Use the stacks-strings skill to normalize a user-provided name into a URL slug and validation-friendly format.

Frequently Asked Questions about stacks-strings

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I convert strings between camelCase, snake_case, and kebab-case in a Stacks application?

Case conversion between camelCase, PascalCase, snake_case, and kebab-case is handled automatically for UI labels, routes, and API payloads. The Str facade provides a Unicode-aware, TypeScript-friendly API to normalize formatting across your codebase.

What's the best way to generate URL slugs and random string tokens for Stacks apps?

Slug generation and random string generation for IDs or tokens are built into the Str facade. You can normalize user-provided names into URL slugs and generate secure random strings without adding external dependencies.

How do I pluralize and singularize UI labels based on dynamic counts?

Pluralization and singularization apply rule-based transformations to natural language strings so UI labels, logs, and messages adapt to counts. This ensures grammatically correct output across UI components and API responses.

Can I validate emails, URLs, and UUIDs without adding extra dependencies to my Stacks project?

Validation helpers for emails, URLs, UUIDs, and other identifiers are included natively. The stacks-strings Skill requires zero external dependencies, allowing you to validate strings directly within your Stacks application.

Does template interpolation work for normalizing API payloads and data processing in Stacks?

Template interpolation is supported for string transformations across UI, API payloads, and data processing. The Str facade centralizes these operations to ensure consistency and safety when formatting textual data.

Why should I centralize string operations instead of writing custom transformation functions?

Centralizing string operations reduces boilerplate and prevents inconsistencies across your codebase. Using a standardized, Unicode-aware API ensures case conversion, validation, and slugging behave consistently throughout your Stacks application.