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Zt Vite Build

ASecurity

Vite build systems: production-level ESM, assets, chunk strategies and commands. Use when implementing, reviewing or testing vite build systems for React, Vite, Next.js or Perfect_AI projects.

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  • Added November 7, 2026
designreactnextjstestingapibackendperformance

Works with

  • api

Security analysis

A100/100

Scanned November 7, 2026

npx -y skills add Realjustawall/Perfect-AI --skill zt-vite-build --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: zt-vite-build
description: Vite build systems: production-level ESM, assets, chunk strategies and commands. Use when implementing, reviewing or testing vite build systems for React, Vite, Next.js or Perfect_AI projects.
---

# Vite build systems

## When to activate
Use on tasks involving **ESM, assets, chunk strategies and commands**. For unrelated backend tasks do not load this skill.

## Implementation sequence
1. Inspect project dependencies, application entrypoints, routing and build scripts.
2. Define interfaces and state machines before visuals, preserve existing behavior.
3. Build semantic HTML and mobile-first layouts with logical CSS; integrate motion only when interaction works.
4. Validate keyboard, screen reader names, bidirectionality, input error and loading states.
5. Run typecheck, build, unit tests, browser tests, and inspect responsive overflow.

## Task-specific requirements
- Scope: **ESM, assets, chunk strategies and commands**. Design the full execution path, not a screenshot placeholder.
- Identify dependency version and actual supported API signature; avoid inventing APIs.
- Use original code, or install licensed upstream through its maintained tool if the user wants upstream code.
- Choose measurable states, error handling, accessibility and performance budgets.

## Implementation starter
**Implementation notes:** Model ESM, assets, chunk strategies and commands as explicit states, define input/output props and independent cleanup. Read master reference(s) below before writing code.


## Evidence / acceptance
- 320px no horizontal overflow; 200% zoom; LTR islands correct; focus order consistent.
- Test common, edge, interrupted, accessibility and responsive states; provide concrete artifacts/evidence.

## Deep references
- `../perfect-ai-master/references/04-ui-ux-system.md`
- `../perfect-ai-master/references/05-responsive-rtl.md`
- `../perfect-ai-master/references/11-workflow-architecture.md`

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