Frontend technical spec
Skill shinpr/ai-coding-project-boilerplate/.claude/skills-en/frontend-technical-spec
Agentic coding TypeScript boilerplate for Claude Code: sub-agent workflows with built-in quality checks and context engineering.
npx -y skills add shinpr/ai-coding-project-boilerplate --skill frontend-technical-specAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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Defines React environment, component architecture, state/data flow, build verification, and frontend non-functional criteria from repository evidence. Use when configuring or designing a React frontend, its build, or its runtime boundaries.
SKILL.md
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Technical Design Rules (Frontend)
Prerequisite Detection
Inspect package.json, the lockfile, TypeScript/build configuration, CI definitions, and representative components before applying a tool- or framework-specific rule. Treat React, Vite, Next.js, a state library, form library, or script as available only when repository evidence names it. Label surrounding-pattern conclusions as inferred. When a missing decision changes rendering architecture, compatibility, security, or verification, stop and name the exact evidence or user decision required.
Basic Technology Stack Policy
These rules apply when repository configuration confirms a TypeScript-based React application. Select architecture by mapping current requirements and constraints to component responsibilities, state ownership, server/client boundaries, and observable verification points.
Environment Variable Management and Security
Environment Variable Management
- Use the build tool's client-exposure mechanism: Browser code can read only values explicitly exposed by the configured bundler/framework; server-only environment access remains outside client bundles
- Centrally manage environment variables through configuration layer
- Parse exposed values at one typed configuration boundary before application use
- Give a value a default only when requirements define valid behavior for absence; otherwise fail startup/build validation with the variable name and expected format
// Build tool environment variables (public values only; client-exposed vars need the VITE_ prefix)
const config = {
apiUrl: import.meta.env.VITE_API_URL || 'http://localhost:3000',
appName: import.meta.env.VITE_APP_NAME || 'My App'
}
// Does not work in frontend
const apiUrl = process.env.API_URL
Security (Client-side Constraints)
- CRITICAL: All frontend code is public and visible in browser
- Keep secrets server-side: Client-exposed configuration contains public values only; a backend or trusted service owns API keys, tokens, and credentials
- Keep local
.envfiles outside version control and provide non-secret example files for required variable names - Log and return only fields approved for the current trust boundary; redact passwords, tokens, and personal data
Correct Approach for Secrets:
// Security risk: API key exposed in browser
const apiKey = import.meta.env.VITE_API_KEY
const response = await fetch(`https://api.example.com/data?key=${apiKey}`)
// Correct: Backend manages secrets, frontend accesses via proxy
const response = await fetch('/api/data') // Backend handles API key authentication
Architecture Design
Frontend Architecture Patterns
React Component Architecture:
- Function Components: Mandatory; class components allowed solely for Error Boundaries (no hook equivalent)
- Custom Hooks: For logic reuse and dependency injection
- Component Hierarchy: Atoms -> Molecules -> Organisms -> Templates -> Pages
- Props-driven: Components receive all necessary data via props
- Co-location: Place tests, styles, and related files alongside components
Select a component/state pattern using these rules:
- Keep state local when one component subtree owns every read and write
- Use Context when multiple descendants require the same low-frequency state and the provider boundary is explicit
- Use a server-state library only when the configured dependency exists and caching, deduplication, background refresh, or request lifecycle state is required
- Introduce an additional state-management dependency only when current requirements cannot be covered by local state, reducer state, existing Context, or the repository's established state mechanism
State Management Patterns:
- Local State:
useStatefor component-specific state - Context API: For sharing state across component tree (theme, auth, etc.)
- Custom Hooks: Encapsulate state logic and side effects
- Server State: React Query or SWR for API data caching
Unified Data Flow Principles
Client-side Data Flow
Maintain consistent data flow throughout the React application:
-
Single Source of Truth: Each piece of state has one authoritative source
- UI state: Component state or Context
- Server data: API responses cached in React Query/SWR
- Form data: Controlled components with React Hook Form
-
Unidirectional Flow: Data flows top-down via props
API Response -> State -> Props -> Render -> UI User Input -> Event Handler -> State Update -> Re-render -
Immutable Updates: Use immutable patterns for state updates
// Immutable state update setUsers(prev => [...prev, newUser]) // Invalid mutable state update users.push(newUser) setUsers(users)
Type Safety in Data Flow
- Frontend -> Backend: Props/State (Type Guaranteed) -> API Request (Serialization)
- Backend -> Frontend: API Response (
unknown) -> Type Guard -> State (Type Guaranteed)
// Type-safe data flow
async function fetchUser(id: string): Promise<User> {
const response = await fetch(`/api/users/${id}`)
const data: unknown = await response.json()
if (!isUser(data)) {
throw new Error('Invalid user data')
}
return data // Type guaranteed as User
}
Build and Testing
Select the package manager from the packageManager field, lockfile, or CI command in that order. Execute only scripts present in the selected manifest.
Build Commands
- Auto-detect and execute the following from package.json scripts:
- Development server
- Production build
- Type check (no emit)
Testing Commands
test- Run teststest:coverage- Run tests with coveragetest:coverage:fresh- Run tests with coverage (fresh cache)test:safe- Safe test execution (with auto cleanup)cleanup:processes- Cleanup Vitest processes
Quality Check Requirements
Quality checks are mandatory upon implementation completion:
Phase 1-3: Basic Checks
check- Biome (lint + format)build- TypeScript build
Transition evidence: every configured lint/format/type/build check exits successfully. A missing required script blocks the next phase until an equivalent repository command is identified.
Phase 4-5: Tests and Final Confirmation
test- Test executiontest:coverage:fresh- Coverage measurementcheck:all- Overall integrated check
Completion evidence: configured tests pass, the production build succeeds, and the integrated check remains clean after test fixes. Record an environment-dependent test as blocked with its exact prerequisite.
Coverage
- Treat coverage as a diagnostic signal for finding untested areas, not a target (a target gets gamed into trivial tests — Goodhart's Law)
- Concentrate test rigor on foundational, high-reuse units (shared components, custom hooks, utils) whose regression has the widest blast radius; higher-composition surfaces (organisms, pages) lean on integration/E2E coverage instead
- Any enforced numeric threshold is the project's CI/coverage config, not a goal in itself
Non-functional Requirements
- Browser Compatibility: Use the repository's Browserslist/build target or a named product requirement; record the source and test the affected browser-specific behavior
- Rendering Performance: Use the browser matrix and performance thresholds defined by project requirements, CI, or performance configuration. When none exists, report measured conditions as diagnostic evidence without inventing a pass threshold