Refactor high-complexity React components in Dify frontend with structured patterns and incremental extraction.
Works with
Targets components with complexity > 50 or line count > 300; use pnpm analyze-component --json to measure and pnpm refactor-component to generate refactoring prompts
Six core patterns: custom hooks for state/logic, sub-components for UI sections, simplified conditionals, API/data extraction, modal management, and form logic
Dify-specific conventions for context providers, w
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versioncomponent-refactoringExecute the skills CLI command in your project's root directory to begin installation:
Fetches component-refactoring from langgenius/dify and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate component-refactoring. Access via /component-refactoring in your agent's command palette.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Refactor high-complexity React components in the Dify frontend codebase with the patterns and workflow below.
Complexity Threshold: Components with complexity > 50 (measured by
pnpm analyze-component) should be refactored before testing.
web/)Use paths relative to web/ (e.g., app/components/...).
Use refactor-component for refactoring prompts and analyze-component for testing prompts and metrics.
cd web
# Generate refactoring prompt
pnpm refactor-component <path>
# Output refactoring analysis as JSON
pnpm refactor-component <path> --json
# Generate testing prompt (after refactoring)
pnpm analyze-component <path>
# Output testing analysis as JSON
pnpm analyze-component <path> --json
# Analyze component complexity
pnpm analyze-component <path> --json
# Key metrics to check:
# - complexity: normalized score 0-100 (target < 50)
# - maxComplexity: highest single function complexity
# - lineCount: total lines (target < 300)
| Score | Level | Action |
|---|---|---|
| 0-25 | 🟢 Simple | Ready for testing |
| 26-50 | 🟡 Medium | Consider minor refactoring |
| 51-75 | 🟠 Complex | Refactor before testing |
| 76-100 | 🔴 Very Complex | Must refactor |
When: Component has complex state management, multiple useState/useEffect, or business logic mixed with UI.
Dify Convention: Place hooks in a hooks/ subdirectory or alongside the component as use-<feature>.ts.
// ❌ Before: Complex state logic in component
const Configuration: FC = () => {
const [modelConfig, setModelConfig] = useState<ModelConfig>(...)
const [datasetConfigs, setDatasetConfigs] = useState<DatasetConfigs>(...)
const [completionParams, setCompletionParams] = useState<FormValue>({})
// 50+ lines of state management logic...
return <div>...</div>
}
// ✅ After: Extract to custom hook
// hooks/use-model-config.ts
export const useModelConfig = (appId: string) => {
const [modelConfig, setModelConfig] = useState<ModelConfig>(...)
const [completionParams, setCompletionParams] = useState<FormValue>({})
// Related state management logic here
return { modelConfig, setModelConfig, completionParams, setCompletionParams }
}
// Component becomes cleaner
const Configuration: FC = () => {
const { modelConfig, setModelConfig } = useModelConfig(appId)
return <div>...</div>
}
Dify Examples:
web/app/components/app/configuration/hooks/use-advanced-prompt-config.tsweb/app/components/app/configuration/debug/hooks.tsxweb/app/components/workflow/hooks/use-workflow.tsWhen: Single component has multiple UI sections, conditional rendering blocks, or repeated patterns.
Dify Convention: Place sub-components in subdirectories or as separate files in the same directory.
// ❌ Before: Monolithic JSX with multiple sections
const AppInfo = () => {
return (
<div>
{/* 100 lines of header UI */}
{/* 100 lines of operations UI */}
{/* 100 lines of modals */}
</div>
)
}
// ✅ After: Split into focused components
// app-info/
// ├── index.tsx (orchestration only)
// ├── app-header.tsx (header UI)
// ├── app-operations.tsx (operations UI)
// └── app-modals.tsx (modal management)
const AppInfo = () => {
const { showModal, setShowModal } = useAppInfoModals()
return (
<div>
<AppHeader appDetail={appDetail} />
<AppOperations onAction={handleAction} />
<AppModals show={showModal} onClose={() => setShowModal(null)} />
</div>
)
}
Dify Examples:
web/app/components/app/configuration/ directory structureweb/app/components/workflow/nodes/ per-node organizationWhen: Deep nesting (> 3 levels), complex ternaries, or multiple if/else chains.
// ❌ Before: Deeply nested conditionals
const Template = useMemo(() => {
if (appDetail?.mode === AppModeEnum.CHAT) {
switch (locale) {
case LanguagesSupported[1]:
return <TemplateChatZh />
case LanguagesSupported[7]:
return <TemplateChatJa />
default:
return <TemplateChatEn />
}
}
if (appDetail?.mode === AppModeEnum.ADVANCED_CHAT) {
// Another 15 lines...
}
// More conditions...
}, [appDetail, locale])
// ✅ After: Use lookup tables + early returns
const TEMPLATE_MAP = {
[AppModeEnum.CHAT]: {
[LanguagesSupported[1]]: TemplateChatZh,
[LanguagesSupported[7]]: TemplateChatJa,
default: TemplateChatEn,
},
[AppModeEnum.ADVANCED_CHAT]: {
[LanguagesSupported[1]]: TemplateAdvancedChatZh,
// ...
},
}
const Template = useMemo(() => {
const modeTemplates = TEMPLATE_MAP[appDetail?.mode]
if (!modeTemplates) return null
const TemplateComponent = modeTemplates[locale] || modeTemplates.default
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
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mattpocock/skills
component-refactoring fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for component-refactoring matched our evaluation — installs cleanly and behaves as described in the markdown.
I recommend component-refactoring for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: component-refactoring is focused, and the summary matches what you get after install.
component-refactoring reduced setup friction for our internal harness; good balance of opinion and flexibility.
component-refactoring is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Registry listing for component-refactoring matched our evaluation — installs cleanly and behaves as described in the markdown.
Solid pick for teams standardizing on skills: component-refactoring is focused, and the summary matches what you get after install.
component-refactoring is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in component-refactoring — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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