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frontend-code-review

Review frontend code (.tsx, .ts, .js files) for quality, performance, and correctness against Langflow's frontend conventions. Supports pending-change reviews and file-targeted reviews.

DeepseekModel Curated skill Quality Excellent · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=langflow-ai-langflow-agents-skills-frontend-code-review-skill-md&format=skill
Download .skill Standard format with system_prompt and model_config, ready for any agent framework
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name frontend-code-review description Review frontend code (.tsx, .ts, .js files) for quality, performance, and correctness against Langflow's frontend conventions. Supports pending-change reviews and file-targeted reviews. Frontend Code Review When to use this skill Use this skill whenever the user asks to review, analyze, or improve frontend code ( .tsx , .ts , .js files) under the src/frontend/ directory. Supports the following review modes: Pending-change review -- inspect staged or working-tree files slated for commit and flag checklist violations before submission. File-targeted review -- review the specific file(s) the user names and report the relevant checklist findings. Do NOT use this skill when: The request is about backend code ( .py files under src/backend/ ). The user is not asking for a review/analysis/improvement of frontend code. The scope is outside src/frontend/ (unless the user explicitly asks to review frontend-related changes elsewhere). How to use this skill Follow these steps when using this skill: Identify the review mode (pending-change vs file-targeted) based on the user's input. Keep the scope tight: review only what the user provided or explicitly referenced. Follow the rules defined in the Checklist to perform the review. If no checklist rule matches, apply General Review Rules as a fallback. Compose the final output strictly following the Required Output Format . Notes when using this skill: Always include actionable fixes or suggestions (including possible code snippets). Use File:Line references when a file path and line numbers are available; otherwise, use the most specific identifier you can. The Langflow frontend uses React 19, TypeScript 5.4, Vite 7 with SWC, Zustand for state management, TanStack React Query for server state, @xyflow/react v12 for graph visualization, Radix UI + shadcn-ui components, Tailwind CSS v3, and Biome for linting/formatting. Checklist Code quality : For any reviewed file, follow references/code-quality.md to check styling conventions, TypeScript usage, Biome compliance, and component patterns. Performance : If the review scope involves React components, hooks, Zustand stores, React Query usage, or @xyflow/react node rendering, follow references/performance.md to check for re-render issues, memoization, and data flow patterns. Business logic : If the review scope involves custom nodes (GenericNode), flow state, API calls, the component system, global variables, or the inspection panel, follow references/business-logic.md to check for Langflow-specific correctness. i18n : If the diff adds or changes user-facing text (labels, buttons, tooltips, modals, toasts, errors, placeholders, aria-labels), follow the frontend-i18n skill : no hardcoded UI strings — everything through t(...) — and every new key present in all locale files ( src/frontend/src/locales/*.json ). General Review Rules 1. Security Review Check for: XSS vulnerabilities (dangerouslySetInnerHTML, unescaped user input) Sensitive data exposure in client-side code Insecure direct object references in API calls Hardcoded secrets, tokens, or API keys 2. Accessibility Review Check for: Missing aria labels on interactive elements Keyboard navigation support Proper use of semantic HTML elements Color contrast issues in custom styling 3. Code Quality Review Check for: Code duplication (DRY violations — extract at 3+ identical usages) Functions/components doing too much (SRP violations — if you need "and" to describe it, split it) Deep nesting or complex conditionals (prefer early returns and guard clauses) Magic numbers/strings without named constants Poor naming: generic names ( data , result , temp ), missing verb prefixes on functions, missing is / has / can / should prefixes on booleans Missing error handling or error boundaries Incomplete TypeScript type coverage (no any , no as any casts) Comments that explain WHAT instead of WHY Commented-out code (use version control) Boolean parameters that switch component behavior (use two components instead) Mutable patterns where const or immutable alternatives exist Production files exceeding ~500 lines (red flag at 600+) console.log in production code (Biome flags this) 4. Testing Impact Review Check for: Changes to data-testid attributes that may break E2E tests Modified component interfaces that require test updates New interactive elements missing data-testid attributes 5. Pre-Commit Verification For pending-change reviews, verify: npm run format (Biome formatter) — zero diffs npm run lint (Biome linter) — zero errors npm test (Jest) — zero failures Required Output Format When this skill is invoked, the response must exactly follow one of the two templates: Template A (any findings) # Code Review Found < N > urgent issues that need to be fixed: ## 1. < brief description of issue > FilePath: < path > line < line > < relevant code snippet or pointer > ### Suggested fix < brief description of suggested fix with code example > --- ... (repeat for each urgent issue) ... Found < M > suggestions for improvement: ## 1. < brief description of suggestion > FilePath: < path > line < line > < relevant code snippet or pointer > ### Suggested fix < brief description of suggested fix with code example > --- ... (repeat for each suggestion) ... If there are no urgent issues, omit that section. If there are no suggestions, omit that section. If the issue count exceeds 10, summarize as "10+ urgent issues" or "10+ suggestions" and output only the first 10 items. Do not compress the blank lines between sections; keep them as-is for readability. If Template A is used (there are issues to fix) and at least one issue requires code changes, append a brief follow-up question after the structured output asking whether the user wants the suggested fixes applied. For example: "Would you like me to apply the suggested fixes to address these issues?" Template B (no issues) ## Code Review No issues found.
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The downloaded .skill package contains the following fields.
Field Description
formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
source_urlSource URL (this page)
exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

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