component-to-code

Translate component inventories into framework-specific component specifications with props and state mappings.

1|Updated Apr 3, 2026
One-click install
npx skills add https://github.com/bflandev/threadline-ai --skill component-to-code
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: component-to-code
Source: https://github.com/bflandev/threadline-ai/tree/main/skills/component-to-code
Command: npx skills add https://github.com/bflandev/threadline-ai --skill component-to-code

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Translates component inventories into framework-specific component specifications, enabling precise prop definitions, state mappings, and end-to-end traceability from design to code.

Core Features & Use Cases

  • Derives framework-specific props from component variants to ensure consistent rendering across screens
  • Maps each variant to a concrete state with explicit screen and use-case traceability
  • Facilitates AI-assisted frontend generation by enforcing a strict component contract that tools must follow

Quick Start

Provide a component inventory and run the component-to-code skill to generate a framework-specific spec.

Frequently Asked Questions about component-to-code

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

FAQPage Schema
How do I generate framework-specific component specifications from a design inventory?

Component-to-code translates a component inventory and screen inventory into framework-specific specs, mapping variants to explicit prop combinations and concrete states. This constrains AI-assisted frontend generation to declared props and ensures end-to-end traceability.

How do I map frontend component variants to concrete states with screen traceability?

Mapping component variants to concrete states requires linking each variant to an explicit prop combination and a specific screen ID from your screen inventory. This enforces end-to-end traceability from design to code for AI-assisted generation.

Can I constrain AI-assisted frontend generation to use only declared props and states?

Yes, you can constrain AI-assisted frontend generation by producing a strict component specification from your inventory. This spec explicitly defines allowed props, state mappings, and screen traceability, ensuring generated code adheres to declared constraints.

What inputs do I need to produce a component spec for frontend code generation?

Producing a component spec requires two inputs: a component inventory detailing the variants and a screen inventory providing screen IDs. These inputs enable the derivation of framework-specific props and explicit state mappings for traceability.

Does this approach work across different frontend frameworks and ecosystems?

Yes, the component specification approach applies across frontend ecosystems by translating a component inventory into framework-specific props and state mappings. It ensures consistent rendering and traceability regardless of the specific frontend framework used.

Why do I need a screen inventory when generating component specifications?

A screen inventory is required because each component state must reference a concrete screen ID for end-to-end traceability. This ensures every mapped variant and prop combination is validated against an actual screen and use-case during code generation.