productivity▌

Guides homepage content, structure, and conversion optimization.

Streaming-optimized React Markdown renderer with syntax highlighting, diagrams, math, and AI chat integration. \n \n Supports four optional plugins: code syntax highlighting via Shiki (200+ languages), Mermaid diagrams, LaTeX math rendering, and CJK text support \n Two rendering modes: streaming (with animated caret cursor for AI chat) and static (for blogs and documentation) \n Built-in security features including link safety modals, HTML tag filtering, URL sanitization, and configurable elemen

Work like Manus: Use persistent markdown files as your "working memory on disk."

Implement comprehensive form validation including client-side validation, server-side synchronization, and real-time error feedback with TypeScript type safety.

Build production-ready conversational AI voice agents with ElevenLabs Platform. \n \n Supports React, React Native, Swift, and JavaScript SDKs with dashboard or CLI-based agent configuration \n Add client-side and webhook-based server tools, upload knowledge bases for RAG, and configure voice, LLM, system prompt, and first message \n Includes signed URL authentication pattern, agent versioning for A/B testing, and dynamic variable injection for user context \n CLI provides init, deploy, test, an

Add tracing to LangChain/LangGraph apps and query trace data via CLI for debugging and dataset generation. \n \n Automatic tracing for LangChain/LangGraph apps with environment variables; manual tracing via @traceable decorator and wrap_openai() for other frameworks in Python and TypeScript \n Query traces (complete execution trees) or runs (individual nodes) using langsmith CLI with filters for time, latency, errors, tags, and custom metadata \n Export traces to JSONL files preserving hierarchy

Extract and manage error codes for React applications. \n \n Automatically extracts error messages from React source code and assigns unique error codes to new messages \n Detects \"unknown error code\" warnings and flags messages that need code assignment \n Validates that error codes remain synchronized with the current codebase through a simple yarn command \n

All commands: nansen research smart-money <sub> [options]

Framework for developing, backtesting, and deploying prediction market trading strategies. \n \n Four built-in strategy templates: arbitrage (pricing inefficiencies), copy trading (mirror successful traders), momentum (price and volume signals), and mean reversion (trade price extremes) \n Backtesting engine with historical data simulation, performance metrics (Sharpe ratio, max drawdown, win rate), and equity curve tracking \n Risk management module enforcing position limits, drawdown caps, dai

Read and edit Railway environment configuration, variables, build settings, and service deployment parameters. \n \n Fetch current environment config including source, build/deploy settings, variables, and networking via railway environment config --json \n Create new environments, duplicate existing ones with optional service-specific variable overrides, or switch between environments \n Edit configuration atomically using JSON patches: set build/start commands, add/update/delete variables, cha