发现最适合你需求的 AI 技能
Create high-quality WeChat public account articles with high eCPM. Use when writing WeChat articles, optimizing titles, selecting topics, or improving content quality. Covers 8 golden opening templates, SCQA structure, long-tail keyword integration, high-value niches like legal, finance, career, and compliance guidelines. Triggers on requests like write WeChat article, 公众号文章, 爆款文案, title optimization, 选题, eCPM optimization, or 长尾关键词.
Generate WeChat comic articles and publish them to the WeChat Official Account draft box by executing local Python pipeline scripts. Use when the user wants to create a comic series from comic_type, topic, and count, or publish the latest generated task. In this skill, “发布” and “发微信” always mean only pushing to the WeChat Official Account draft box; never reinterpret them as personal chat, group chat, or message-tool sending.
微信公众号文章全自动写作与发布。从信息搜集、AI配图规划、报刊级 HTML 排版、到草稿创建和发布的完整流程。适用于 AI 日报、财经周报、深度分析、新闻资讯类文章。内置多种模板,并提供本地渲染、校验、图片规划和发布流水线脚本。
微信机器人快速搭建 - 基于 wechaty/itchat 的微信机器人模板。适合:想做微信自动化的开发者。
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This skill helps users extract full article contents from WeChat using the BrowserAct API. The Agent should proactively apply this skill when users express needs like finding full WeChat articles for specific keywords, tracking WeChat public accounts for industry trends, extracting WeChat article contents for media research, monitoring public relations on WeChat platforms, collecting competitor updates from WeChat, getting full article body from WeChat links, monitoring brand exposure on WeChat
将微信公众号文章导出为 Markdown 格式。当用户提供微信公众号链接 (mp.weixin.qq.com) 或要求下载/导出/保存微信文章时触发。默认保存到工作空间的 source 目录。
微信公众号智能排版引擎。输入草稿,AI 将自动润色、补全 Markdown 标签,并根据用户指定的主题色生成最终排版。
微信公众号文章通俗内容解释技能。当用户需要总结或解释微信公众号链接或url时使用这个技能。技能包含:根据用户提供的链接或URL,读取链接内容,用通俗的语言解释内容。
Intelligent network quality analysis with adaptive loading strategies. Detects connection type (2g/3g/4g), bandwidth, RTT, and save-data mode, then automatically triggers appropriate optimization workflows. Includes decision trees that recommend image compression for slow connections, critical CSS inlining for high RTT, and save-data optimizations (disable autoplay, reduce quality). Features connection-aware performance budgets (500KB for 2g, 1.5MB for 3g, 3MB for 4g+) and adaptive loading imple
Intelligent media optimization with automated workflows for images, videos, and SVGs. Includes decision trees that detect LCP images (triggers format/lazy-loading/priority analysis), identify layout shift risks (missing dimensions), and flag lazy loading issues (above-fold lazy or below-fold eager). Features workflows for complete media audit, LCP image investigation, video performance (poster optimization), and SVG embedded bitmap detection. Cross-skill integration with Core Web Vitals (LCP/CLS
Intelligent loading performance analysis with automated workflows for TTFB investigation (DNS/connection/server breakdown), render-blocking detection, script performance deep dive (first vs third-party attribution), font optimization, and resource hints validation. Includes decision trees that automatically analyze TTFB sub-parts when slow, detect script loading anti-patterns (async/defer/preload conflicts), identify render-blocking resources, and validate resource hints usage. Features workflow