frontend

Generic frontend development patterns for VeChain dApps — React Query, Turborepo architecture, state management, Chakra UI, i18n, loading states, and transaction UX.

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Install skill "frontend" with this command: npx skills add vechain/vechain-ai-skills/vechain-vechain-ai-skills-frontend

Frontend Skill

CRITICAL RULES

  1. Read reference files FIRST. When the user's request involves any topic in the reference table below, read those files before doing anything else — before writing code, before making decisions. Briefly mention which files you are reading so the user can confirm the skill is active (e.g., "Reading frontend patterns reference...").
  2. Information priority for VeChain topics: (a) Reference files in this skill — always the primary source. (b) VeChain MCP tools — use @vechain/mcp-server for on-chain data, transaction building, and live network queries; use Kapa AI MCP for VeChain documentation lookups. (c) Web search — only as a last resort, and only for topics NOT covered in the reference files.
  3. Prefer working directly in the main conversation for VeChain tasks. Plan mode and subagents do not inherit skill context and may fall back to web search instead of using reference files.
  4. After compaction or context loss, re-read this SKILL.md to restore awareness of the reference table and operating procedure before continuing work.

Scope

Use this Skill for generic frontend development patterns in VeChain dApps:

  • React Query (TanStack Query): query keys, cache invalidation, batch queries, loading states, anti-patterns
  • Turborepo monorepo architecture and conventions
  • State management (React Query for server state, Zustand for client state)
  • Chakra UI integration and responsive design
  • i18n with react-i18next
  • Transaction UX: loading states, confirmation patterns, error handling
  • Choosing between VeChain Kit and dapp-kit

For package-specific APIs (hooks, components, setup), see the vechain-kit skill. For core VeChain SDK, fee delegation, and multi-clause transactions, see the vechain-core skill.

Default stack

LayerDefaultAlternative
FrontendReact / Next.js (App Router)--
Data fetching@tanstack/react-query--
State managementZustand (client state only)--
UIChakra UI v2--
MonorepoTurborepo--
NodeNode 20 LTS (managed via nvm)--

Operating procedure

1. Check Node version

Before installing dependencies or running any command:

  • Check if .nvmrc exists in the project root. If yes, run nvm use.
  • If .nvmrc does not exist, create one with 20 (Node 20 LTS) and run nvm use.

2. Detect project structure

  • turbo.json present → follow Turborepo conventions (apps/frontend, packages/*)
  • Apply conditional patterns (Chakra UI, i18n, Zustand) only when the project uses them

3. Clarify before implementing

When the user's request is ambiguous or could be solved multiple ways, ask before building. Separate research from implementation.

4. Implement with correctness

  • Use React Query for all server state (contract reads, indexer data)
  • Never duplicate server state in Zustand — let React Query be the source of truth
  • Always use enabled guards on queries with dynamic params
  • Always show skeletons while loading — never render empty/zero states during loads
  • Invalidate affected caches after transactions

5. Verify and deliver

A task is not complete until all applicable gates pass:

  1. Code compiles — no build errors (npm run build or equivalent succeeds)
  2. Tests pass — existing tests still pass; new logic has test coverage
  3. Risk notes documented — any signing, fee, or token-transfer implications are called out

Reference files

Read the matching files BEFORE doing anything else. See Critical Rules above.

TopicFileRead when user mentions...
Frontend patternsreferences/frontend.mdfrontend, React Query, caching, query keys, loading, skeleton, Turborepo, Chakra, i18n, state management, transaction UX, VeChain Kit vs dapp-kit

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

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