airiot-frontend
Official AIRIOT development toolkit for building React applications with TypeScript, shadcn/ui, and integrated real-time platform capabilities.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
518 skills found
Official AIRIOT development toolkit for building React applications with TypeScript, shadcn/ui, and integrated real-time platform capabilities.
Generate absurdly thorough, professional README.md files for any project, covering local development, system architecture, and deployment instructions.
Create aesthetically beautiful interfaces using systematic design principles, AI-driven evaluation, and automated inspiration analysis.
Generate professional weekly reports by aggregating Feishu chat history and local daily memory logs into a structured template.
Captures session learnings into Reusable Intelligence Infrastructure (RII). Converts one-time bug fixes and pattern discoveries into permanent agent-executable knowledge to prevent recurrence and accelerate future development.
Guide for creating properly structured YAML configuration files for MassGen. Use this when creating new configs for examples, case studies, testing, or feature demonstrations.
Automated retrieval of PubMed scientific literature and generation of plain-language biomedical research summaries.
Generate professional tarot and astrology content for social media, including 12-sign weekly horoscopes, tarot spread scripts, event-driven video scripts, and custom cover art.
Fetch and parse transcripts from YouTube and Bilibili videos for summarization, QA, and content extraction using yt-dlp.
Self-maintaining skill for OpenCode agents to update documentation, capture learnings, and extend tool/agent capabilities dynamically.
AI-powered food calorie and nutrient calculator. Uses vision recognition to identify meals, calculate macronutrients, and provide health suggestions based on a built-in nutrition database.
VVM (Vibe Virtual Machine) is a language for agentic programs where the LLM acts as the runtime. Orchestrate multi-agent workflows, manage state, and build resilient AI pipelines.