AI image and video generation service - supports text-to-image, image-to-image, and video generation. Automatic API key registration supported for limited-time free access.

获取当前天气和预报

Convert documents or text into PDF slide presentations via the Ruyi Converter API at nyoi.io. Use this skill whenever the user wants to create slides, presentations, PPTs, or slide decks from text, markdown, or document files (DOCX, PDF, TXT, MD). Also trigger when user mentions keywords like "slides", "presentation", "PPT", "slide deck", "pitch deck", or wants to turn notes/content into a visual presentation format.

获取并读取YouTube视频的字幕。当你需要总结视频内容、回答关于视频内容的问题或从中提取信息时使用。

用于创建skill的"元技能"。用于引导用户创建新技能、修改并改进现有技能，以及衡量技能表现。当用户希望从头开始创建技能、更新或优化现有技能、运行评估以测试技能、通过差异分析基准测试技能表现，或优化技能描述以提高触发准确性时使用。

Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.

"Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like \"the xlsx in my downloads\") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved."

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Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).