菜单
搜索微信公众号文章技能。通过微信搜索获取文章列表，覆盖科技/AI、社会热点、财经、教育、职场等各类中文资讯；可按关键词检索并返回标题、概要、发布时间、来源公众号与链接。当用户需要查找微信公众号文章、整理参考资料或快速获取文章信息时使用此技能。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Select and run proportionate validation for changes to apps/canvas-workspace. Use when iterating on Canvas Workspace code, finishing a feature or fix, preparing release evidence, or deciding whether a full performance report is necessary.
Deep-research a topic and build a structured Pulse Canvas workspace with approved research depth, source-backed findings, progressive or final canvas creation, spatially organized frames, content nodes, and connections. Use when the user asks to bootstrap, generate, research, organize, or build an AI-created canvas.
Extend an existing Pulse Canvas frame with local, source-backed research while preserving the surrounding canvas. Use when the user asks to research, enrich, expand, verify, update, or add sources/details inside a selected or named frame, rather than bootstrapping a whole new canvas.
Operate Pulse Canvas workspaces — read user-curated context, write results, create nodes
Add or change a Pulse Canvas capability that must be available through structured agent tools and the pulse-canvas CLI. Use for cross-workspace Capability Runtime changes spanning apps/canvas-workspace, packages/canvas-cli, or packages/cli, including new live read, operate, or unsafe application actions.
Run the canvas-workspace performance evaluation, publish the latest static dashboard through the local nginx/Cloudflare Tunnel route, capture a screenshot, and summarize the report. Use when the user asks to run Pulse Canvas/canvas-workspace perf checks, deploy the performance dashboard, refresh https://jasperhu.art/apps/canvas-perf/, or send a dashboard screenshot from Feishu/remote-server.
| name | wechat-article-search |
| description | 搜索微信公众号文章技能。通过微信搜索获取文章列表，覆盖科技/AI、社会热点、财经、教育、职场等各类中文资讯；可按关键词检索并返回标题、概要、发布时间、来源公众号与链接。当用户需要查找微信公众号文章、整理参考资料或快速获取文章信息时使用此技能。 |
该脚本依赖NodeJS依赖包 cheerio，建议先执行全局安装或在项目中安装：
npm install -g cheerio
1、 确认关键词与数量
1、执行常规搜索命令
node scripts/search_wechat.js "关键词"
node scripts/search_wechat.js "关键词" -n 15
node scripts/search_wechat.js "关键词" -n 20 -o result.json
node scripts/search_wechat.js "关键词" -n 5 -r
query：搜索关键词（必填）-n, --num：返回数量（默认 10，最大 50）-o, --output：输出 JSON 文件路径（可选）-r, --resolve-url：尝试把中间链接解析成微信文章真实链接（会额外请求每条结果）文章标题、文章地址、文章概要、发布时间、来源公众号名称