developing-react-apps
Use this skill when writing, reviewing, or optimizing React and Next.js code. Provides 47 performance best practices covering async patterns, bundle optimization, server/client rendering, re-render prevention, and JavaScript performance. Triggers on tasks involving React components, hooks, data fetching, code splitting, memoization, or performance improvements.
What this skill does
# React Performance Best Practices 47 performance optimization rules for React and Next.js applications, organized by impact. ## When to Apply Reference these guidelines when: - Writing new React components or Next.js pages - Implementing data fetching (client or server-side) - Reviewing code for performance issues - Optimizing bundle size or load times ## Rule Categories | Priority | Category | Impact | |----------|----------|--------| | 1 | Eliminating Waterfalls | CRITICAL | | 2 | Bundle Size Optimization | CRITICAL | | 3 | Server-Side Performance | HIGH | | 4 | Client-Side Data Fetching | MEDIUM-HIGH | | 5 | Re-render Optimization | MEDIUM | | 6 | Rendering Performance | MEDIUM | | 7 | JavaScript Performance | LOW-MEDIUM | | 8 | Advanced Patterns | LOW | ## Finding Rules See `./references/REFERENCE.md` for the complete rule index with descriptions and keywords. **Searching for relevant rules:** Use the Keywords column in REFERENCE.md to grep for patterns like `await`, `useCallback`, `localStorage`, etc. ## Rule Format Each rule file follows this structure: ```markdown --- title: Rule Name impact: CRITICAL/HIGH/MEDIUM/LOW --- ## Rule Name > **Review:** Pattern to look for in existing code > **Writing:** Situation when writing new code > **Technique:** Transformation or solution to apply Description with impact details. ### Fail [Code example with ❌ comment explaining the problem] ### Pass [Code example with ✅ comment explaining why it's better] ### Why This Matters [1-3 bullet points on core principles] ### When to Apply [Contexts where this rule is relevant] ### When to Skip [Edge cases where the rule shouldn't apply] ### See Also [Related rules] ``` ### Using Rules for Code Review 1. Scan REFERENCE.md Keywords column for patterns in the code under review 2. Read matched rule's **Review** line for the specific anti-pattern 3. Check **When to Skip** before flagging—some patterns are intentional 4. Reference the **Pass** example when suggesting fixes ### Using Rules When Writing Code 1. When facing a situation (data fetching, state updates, etc.), scan Keywords for relevant terms 2. Read the **Writing** line to confirm the rule applies to your situation 3. Apply the **Technique** using the **Pass** example as a template 4. Check **When to Skip** to ensure the optimization is warranted
Related in Image & Video
watch
IncludedWatch a video (URL or local path). Downloads with yt-dlp, extracts auto-scaled frames with ffmpeg, pulls the transcript from captions (or Whisper API fallback), and hands the result to Claude so it can answer questions about what's in the video.
physical-ai-defect-image-generation
IncludedUse when the user wants to orchestrate defect image generation, run associated setup, or handle outputs on OSMO. The Day 0 path handles cold-start with USD-to-ROI, image-edit augmentation, and AnomalyGen to create initial PCBA datasets. The Day 1 path performs inference and labeling on real images. This skill helps with first-time asset setup, creation of finetuning checkpoints, and configuring deployment. Trigger keywords: defect image generation, dig workflow, dig pipeline, defect image detection workflow, aoi pipeline, aoi anomalygen, usd2roi anomalygen, day 0 pcba, day 1 pcba, day 1 real-photo alignment, day 1 manual roi, metal surface anomaly, glass defect, anomalygen finetune, setup_pcb, setup_metal, setup_glass, setup_pretrained, dig setup, dig datasets, dig pretrained checkpoint, dig image-edit endpoint.
accelint-react-best-practices
IncludedReact performance optimization and best practices. ALWAYS use this skill when working with any React code - writing components, hooks, JSX; refactoring; optimizing re-renders, memoization, state management; reviewing for performance; fixing hydration mismatches; debugging infinite re-renders, stale closures, input focus loss, animations restarting; preventing remounting; implementing transitions, lazy initialization, effect dependencies. Even simple React tasks benefit from these patterns. Covers React 19+ (useEffectEvent, Activity, ref props). Triggers - useEffect, useState, useMemo, useCallback, memo, inline components, nested components, components inside components, re-render, performance, hydration, SSR, Next.js, useDeferredValue, combined hooks.
elevenlabs-agents
IncludedBuild conversational AI voice agents with ElevenLabs Platform using React, JavaScript, React Native, or Swift SDKs. Configure agents, tools (client/server/MCP), RAG knowledge bases, multi-voice, and Scribe real-time STT. Use when: building voice chat interfaces, implementing AI phone agents with Twilio, configuring agent workflows or tools, adding RAG knowledge bases, testing with CLI "agents as code", or troubleshooting deprecated @11labs packages, Android audio cutoff, CSP violations, dynamic variables, or WebRTC config. Keywords: ElevenLabs Agents, ElevenLabs voice agents, AI voice agents, conversational AI, @elevenlabs/react, @elevenlabs/client, @elevenlabs/react-native, @elevenlabs/elevenlabs-js, @elevenlabs/agents-cli, elevenlabs SDK, voice AI, TTS, text-to-speech, ASR, speech recognition, turn-taking model, WebRTC voice, WebSocket voice, ElevenLabs conversation, agent system prompt, agent tools, agent knowledge base, RAG voice agents, multi-voice agents, pronunciation dictionary, voice speed control, elevenlabs scribe, @11labs deprecated, Android audio cutoff, CSP violation elevenlabs, dynamic variables elevenlabs, case-sensitive tool names, webhook authentication
humanizer
IncludedHumanize AI-generated text by detecting and removing patterns typical of LLM output. Rewrites text to sound natural, specific, and human. Uses 28 pattern detectors, 560+ AI vocabulary terms across 3 tiers, and statistical analysis (burstiness, type-token ratio, readability) for comprehensive detection. Use when asked to humanize text, de-AI writing, make content sound more natural/human, review writing for AI patterns, score text for AI detection, or improve AI-generated drafts. Covers content, language, style, communication, and filler categories.
generating-mermaid-diagrams
IncludedSalesforce architecture diagrams using Mermaid with ASCII fallback. Use this skill when generating text-based diagrams for Salesforce architecture, OAuth flows, ERDs, integration sequences, or Agentforce structure. TRIGGER when: user says "diagram", "visualize", "ERD", or asks for sequence diagrams, flowcharts, class diagrams, or architecture visualizations in Mermaid. DO NOT TRIGGER when: user wants PNG/SVG image output (use generating-visual-diagrams), or asks about non-Salesforce systems.