Comprehensive web performance analysis targeting LCP, CLS, INP, and bundle size with code fixes.
Analyze this web application page for performance issues and suggest optimizations targeting these Core Web Vitals: **LCP (Largest Contentful Paint < 2.5s):** - Identify the LCP element and suggest preloading strategies - Check for render-blocking resources (CSS, fonts, scripts) - Suggest image optimization (format, sizing, lazy loading) - Recommend server-side rendering or static generation where applicable **CLS (Cumulative Layout Shift < 0.1):** - Find elements without explicit dimensions (images, ads, embeds) - Check for dynamically injected content above the fold - Identify font loading layout shifts (FOIT/FOUT) **INP (Interaction to Next Paint < 200ms):** - Find long-running event handlers - Identify heavy computations on the main thread - Suggest Web Worker offloading opportunities - Check for excessive re-renders in React components **Bundle Size:** - Identify large dependencies that can be replaced or tree-shaken - Suggest dynamic imports for below-the-fold components - Check for duplicate dependencies Provide specific code changes for each optimization.
Open the page component and run with @workspace. Include Lighthouse report data if available.
POC: Fully autonomous weapons systems via LLMs — deepseek-v4-pro reasoning model with unrestricted system prompt demonstrates autonomous offensive cyber operations capability for classification analysis and regulatory discussion. ECCN: 4D004 / EAR99.
Codex Cost Router Skills - preflight task routing skills for Codex to reduce token waste, choose model tiers, reasoning effort, permissions, and execution prompts.
Test and compare LLM prompts across providers — automated quality scoring, latency benchmarks, cost analysis. YAML-driven, works with any OpenAI-compatible API.
基于 FastAPI 的 DeepSeek Chat 反向代理,将 DeepSeek 网页版的 API 转换为 OpenAI 兼容格式。 支持流式/非流式对话、专家模式、深度思考(reasoning_content)、工具调用(DSML prompt injection)。 自动处理 PoW 鉴权挑战,无需官方 API Key。
Frozen reasoning LLM (DeepSeek-V4-Flash) as an in-context surrogate for lithium-electrolyte ionic conductivity on CALiSol-23 — selector ablation, chain-of-thought pattern mining, and a one-sentence prompt change that cut worst-case error 87×.
Local DeepSeek V4 proxy: reduces hallucinations strengthens system prompt following stops reasoning loops repairs empty tool-call replies — with built-in session analysis and GUI. / 本地 DeepSeek V4 代理:降低幻觉、增强 system prompt 遵循、防思维循环、修复空回复 自带会话分析与 GUI。
Workflows from the Neura Market marketplace related to this DeepSeek resource