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aahl/edgeone

Deploy HTML content to EdgeOne Pages, return the public URL.

兼容平台~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/aahl/skills/tree/main/skills/edgeone

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aahl/edgeone

Deploy HTML content to EdgeOne Pages, return the public URL.

Individual skills in this repo

This repo contains 10 individual skills — each has its own dedicated page.

aahl/edge-tts

Text-to-speech conversion using `uvx edge-tts` for generating audio from text. Use when (1) User requests audio/voice output with the "tts" trigger or keyword. (2) Content needs to be spoken rather than read (multitasking, accessibility, driving, cooking). (3) User wants a specific voice, speed, pitch, or format for TTS output.

aahl/maishou

商品价格全网对比技能,获取商品在淘宝(Taobao)、天猫(TMall)、京东(JD.com)、拼多多(PinDuoDuo)、抖音(Douyin)、快手(KaiShou)的最优价格、优惠券,当用户想购物或者获取优惠信息时使用。Get the best price, coupons for goods on Chinese e-commerce platforms, compare product prices, and use when users want to shop or get discount information.

aahl/mcp-deepwiki

Skills for accessing and searching docs in DeepWiki/GitHub’s public code repositories can help users understand open-source project source codes, and users can also ask questions directly about the code docs.

aahl/mcp-duckgo

Skills for web search and content scraping via DuckDuckGo MCP Server. Used when users need online searching and web scraping.

aahl/mcp-hass

The skill for control Home Assistant smart home devices and query states using MCP protocol.

aahl/mcp-lark

Based on FeiShu(飞书) / Lark's OpenAPI MCP server, manage user information, chats, emails, cloud documents, multidimensional tables, tasks, calendars, etc.

aahl/mcp-vods

用于追剧/追番的技能,为AI提供搜索影视播放地址的能力,并支持在小米电视上直接播放。当用户想搜索影视、动漫、短剧、综艺等节目信息或更新进度时使用此技能。

aahl/qwen-asr

Transcribe audio files using Qwen ASR. Use when the user sends voice messages and wants them converted to text.

aahl/tianqi

查询中国地区的天气预报,支持15天及逐小时预报、各种生活指数

aahl/zai-tts

Text-to-speech conversion using GLM-TTS service via the `uvx zai-tts` command for generating audio from text. Use when (1) User requests audio/voice output with the "tts" trigger or keyword. (2) Content needs to be spoken rather than read (multitasking, accessibility, podcast, driving, cooking). (3) Using pre-cloned voices for speech.

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