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langell AI Skills

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Browse published AI skills maintained by langell. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

7

Repository stars across indexed skills

0

Repository forks

0

Average repository stars per indexed skill

0

Repository stars may repeat across skills from the same repository.

7 skills

Browse skills

GitHub

skill-creator

langell

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or to...

GitHub

nextjs-form-validation

langell

Comprehensive form validation patterns for Next.js applications with client-side validation, error display, and loading states. Use when creating or enhancing forms that need validation, error handling, real-ti...

GitHub

css-styling-skill

langell

Scans and updates project styling to adhere to the Super League "Dark Mode / Emerald Accent" design system. Use when the user requests style updates, UI polishing, or design system enforcement for Web (Tailwind...

GitHub

drizzle-migrations

langell

Comprehensive guide for Drizzle ORM database migrations with PostgreSQL. Use when adding/modifying database columns, creating migrations, updating schemas, or working with Drizzle schema definitions. Includes m...

GitHub

unit-testing

langell

Generates consistent unit tests for Next.js API routes, services, and repositories using Vitest

GitHub

dark-theme-components

langell

Dark theme UI component patterns with zinc/emerald color scheme. Use when creating or styling UI components that need to match the app's dark theme aesthetic. Includes design tokens, component patterns, and sty...

GitHub

drizzle-orm-management

langell

Comprehensive management of the database using Drizzle ORM, emphasizing enterprise-level data access patterns, transactions, and synchronization.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.