TypeScript Type Definitions

Define strongly-typed TypeScript interfaces for video data structures.

Updated Jan 24, 2026
One-click install
npx skills add https://github.com/chad3814/cawpile-video-gen --skill typescript-type-definitions
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: TypeScript Type Definitions
Source: https://github.com/chad3814/cawpile-video-gen/tree/main/.claude/skills/spekka-backend-models
Command: npx skills add https://github.com/chad3814/cawpile-video-gen --skill typescript-type-definitions

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

TypeScript Type Definitions provide strongly typed interfaces for video data structures, ensuring consistent data contracts across the rendering pipeline.

Core Features & Use Cases

  • Centralized type definitions: keep all shared interfaces in a single module (src/lib/types.ts) for consistency.
  • Strong typing across API payloads and component props, with explicit required/optional fields and exported types.
  • Example use case: define RenderRequest and RecapBook interfaces to prevent runtime errors and improve editor DX.

Quick Start

Create a TypeScript module that exports the required interfaces for video data models.

Frequently Asked Questions about TypeScript Type Definitions

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

FAQPage Schema
How do I define strongly typed TypeScript interfaces for video data structures?

To define strongly typed TypeScript interfaces for video data structures, create a centralized module exporting explicit required and optional fields. Use enums and readonly properties to enforce robust typing and prevent runtime errors across the video generation pipeline.

What is the best way to structure shared TypeScript types for API request and response payloads?

The best way to structure shared TypeScript types for API payloads is to centralize them in a single module like src/lib/types.ts. Export all public-facing interfaces to ensure consistent data contracts across the rendering pipeline and improve editor DX.

Why should I avoid using any when typing component props in a video generation pipeline?

You should avoid using any when typing component props to enforce strict data contracts. Enforcing no any ensures robust typing across the video generation pipeline, preventing runtime errors and providing explicit type safety for shared data models.

Can I use readonly properties and enums to enforce robust typing for shared data models?

Yes, you can use readonly properties and enums to enforce robust typing for shared data models. Applying these TypeScript features ensures immutability and explicit value ranges, preventing accidental mutations and invalid states across API payloads and component props.

How do I prevent runtime errors when passing video data structures between pipeline components?

To prevent runtime errors when passing video data structures, define precise interfaces such as RenderRequest and RecapBook. Applying these strongly typed interfaces across component props and shared data models ensures consistent data contracts throughout the rendering pipeline.

Does this approach require keeping all shared interfaces in a single TypeScript module?

Yes, this approach requires keeping all shared interfaces in a single TypeScript module like src/lib/types.ts. Centralizing type definitions ensures consistency across the video generation pipeline, enforcing strict data contracts for all request and response payloads.