productivity▌

Submit or update Wall of Apps entries via App-Store-Connect-CLI with dry-run preview and confirmation flow. \n \n Supports two submission paths: standard App Store flow using app ID, or manual flow using TestFlight link and app name \n Includes dry-run mode to preview changes before applying with --confirm flag \n Generates PR-based submissions that modify docs/wall-of-apps.json with built-in guardrails against unrelated entry changes \n Run commands from the App-Store-Connect-CLI repository roo

Natural language semantic search across arXiv's complete preprint archive in physics, math, and computer science. \n \n Accepts plain English queries without requiring complex search parameter syntax; powered by Valyu's semantic search API \n Returns full article text, abstracts, and embedded figures from matching papers with relevance scores \n Requires a free Valyu API key ($10 credits available) and Node.js 18+ \n Supports filtering by result count and integrates with jq for extracting titles

Persistent memory systems for LLM conversations with tiered storage and intelligent retrieval. \n \n Implements three memory types: short-term (immediate context), long-term (historical facts), and entity-based (facts about specific entities) \n Provides memory retrieval and consolidation capabilities to surface relevant memories without overwhelming context windows \n Addresses critical concerns including unbounded memory growth, retrieval relevance, and strict user isolation to prevent cross-u

Automatically fetch latest library and framework documentation for Claude Code conversations. \n \n Integrates with Context7 API to retrieve up-to-date docs for React, Next.js, Prisma, and other popular libraries \n Auto-triggers during Claude Code conversations when documentation is needed, requiring no manual invocation \n Supports optional API key configuration via environment variables for higher rate limits \n

Intelligent multi-engine search with automatic network detection and fallback prioritization. \n \n Supports four search engines with two priority modes: quality-first (Tavily > DuckDuckGo > Bing API > Bing scraper) or balanced/free-first (DuckDuckGo > Tavily > Bing API > Bing scraper) \n Includes automatic quota management for API-based engines, 5-minute network detection caching, and forced re-detection after network changes \n Provides web content fetching and batch enrichment of search resul

Multi-channel communication platform: SMS, voice calls, WhatsApp, and 2FA verification. \n \n Covers SMS sending with E.164 validation, message segmentation awareness, and delivery callbacks; supports 80 messages per second default rate limit \n Twilio Verify service for OTP and 2FA across SMS, voice calls, email, and WhatsApp with built-in fraud prevention and rate limiting \n TwiML-based IVR systems using XML markup for voice menus, keypad/speech input gathering, call routing, and voicemail re

Generates hierarchical AGENTS.md knowledge base files with complexity-scored subdirectory documentation. \n \n Discovers project structure through parallel explore agents, bash analysis, LSP codemap, and existing documentation to build a complete codebase map \n Scores directories by file count, code ratio, symbol density, and module boundaries to determine which subdirectories warrant their own AGENTS.md files \n Generates root AGENTS.md with overview, structure, conventions, and anti-patterns,

HTTP CRUD operations, WebSocket real-time communication, authentication, and performance optimization for Flutter apps. \n \n Covers all HTTP methods (GET, POST, PUT, DELETE) with JSON serialization, plus WebSocket connections for real-time data \n Includes authentication patterns (Bearer tokens, Basic Auth, API keys) and comprehensive error handling by status code \n Provides background JSON parsing with isolates to prevent UI blocking on large responses, plus retry logic with exponential backo

Electron desktop development guide for LobeHub's main-renderer architecture. \n \n Covers controller creation, IPC type definitions, renderer services, and store actions for adding new desktop features \n Includes security best practices: input validation, limited API exposure, and preload script patterns for safe main-renderer communication \n Provides structured references for feature implementation, local tools workflow, menu configuration, and window management \n Emphasizes async methods, b

Vision-driven desktop automation for native apps using natural language commands and screenshots. \n \n Controls macOS, Windows, and Linux desktops entirely from visual input; no DOM or accessibility labels required \n Operates synchronously with a screenshot-analyze-act loop: connect, observe screen state, execute high-level actions via natural language prompts, then disconnect \n Requires a vision-capable AI model (Gemini, Qwen, Doubao, or similar) configured via environment variables; support