Cheerio HTML 與 XML 解析函式庫 - Node.js 資料擷取工作流程
Cheerio 是一個長青的 Node.js 函式庫，提供類似 jQuery 的 API 來解析與操作 HTML 及 XML。它廣泛用於爬蟲、資料擷取及內容轉換管線中，讓開發者無需瀏覽器即可快速進行伺服器端 DOM 遍歷。
安裝
無法自動擷取來源支援的安裝或使用說明。在敏感工作流程中執行此技能前，請先檢閱上游專案。
Cheerio 是一個長青的 Node.js 函式庫，提供類似 jQuery 的 API 來解析與操作 HTML 及 XML，廣泛用於爬蟲、資料擷取及內容轉換管線中，讓開發者無需瀏覽器即可快速進行伺服器端 DOM 遍歷。
Cheerio 是一個專為 Node.js 環境設計的 HTML 與 XML 解析函式庫，採用類似 jQuery 的簡潔 API，讓開發者能夠在伺服器端快速選取、操作與萃取 DOM 元素，無需依賴完整的瀏覽器執行環境。這項技能適合用於網頁爬蟲、結構化資料擷取及內容轉換工作流程，能大幅提升開發效率。它支援常見的 CSS 選擇器語法，並提供豐富的 DOM 操作方法（如 .text()、.attr()、.find()、.each()），讓開發者輕鬆處理複雜的 HTML/XML 文件。此技能已登錄於 Agent Skill Exchange，可直接整合至自動化代理程式中，實現高頻率、低延遲的資料萃取任務。
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/cheerio-html-xml-parsing-library-nodejs-extraction-workflowsCheerio 是一個長青的 Node.js 函式庫，提供類似 jQuery 的 API 來解析與操作 HTML 及 XML。它廣泛用於爬蟲、資料擷取及內容轉換管線中，讓開發者無需瀏覽器即可快速進行伺服器端 DOM 遍歷。
無法自動擷取來源支援的安裝或使用說明。在敏感工作流程中執行此技能前，請先檢閱上游專案。
This repo contains 20 individual skills — each has its own dedicated page.
Builds citation networks from Semantic Scholar API and CrossRef DOI metadata. Visualizes paper influence graphs using NetworkX, identifies seminal works, and tracks research lineage across fields.
Exposes Advanced Custom Fields data through the WordPress REST API using register_rest_field and acf_format_value. Handles repeater fields, flexible content layouts, and gallery fields with proper serialization.
An ASE skill built around ACF Extended, the WordPress enhancement suite for Advanced Custom Fields that adds field types, admin improvements, front-end forms, options pages, and developer tooling. It is a practical fit for agents working inside complex WordPress content models and custom field workflows.
Converts Advanced Custom Fields field groups into native Gutenberg blocks using the ACF Block API v2 and @wordpress/scripts build pipeline. Maps ACF repeaters, groups, and flexible content to InnerBlocks and block attributes with server-side rendering via acf_register_block_type().
Activepieces is an open-source, self-hostable workflow automation platform with 200+ integrations. It provides a visual builder for creating automated workflows and exposes all its connectors as MCP servers for AI agent use.
ActivityWatch is a privacy-first, open-source automated time tracker that records application usage, browser activity, and AFK status across Windows, macOS, and Linux. With 16k+ GitHub stars, it provides detailed productivity analytics without sending data to external servers.
act is an open-source CLI tool that runs GitHub Actions workflows locally using Docker, enabling fast feedback on workflow changes without pushing to GitHub. It is a standard tool for local Actions development and testing.
Use AgentClick when an agent should pause before risky commands, plans, drafts, or code changes so a human can inspect, edit, approve, or reject them in a purpose-built browser UI.
Use UX/UI Agent Skills when Claude should generate tokens, component specs, accessibility audits, and framework-specific UI code from a repeatable design workflow.
Use Bats-core when an agent needs to turn fragile shell scripts or command-line workflows into something it can verify repeatedly after edits. The agent writes focused Bash tests for success paths, failure paths, and output contracts, then runs them locally or in CI before a refactor, release, or incident fix goes out.
Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.
Give a coding agent symbol-aware lookup, cross-file rename, and structural edit tools before it starts making brittle text-only changes.
Give LangGraph agents memory management and search tools so they can store, retrieve, and update durable facts across sessions.
Use SimpleMem to store, compress, index, and retrieve text or multimodal memories for agents through MCP or Python integrations.
Keep Claude Code sessions grounded in prior decisions, project context, and daily handoff notes instead of starting from zero every time.
Store embeddings beside application data in Postgres, create vector indexes, and query nearest neighbors for semantic search, RAG, recommendations, or agent memory retrieval.
Find the open PR for the current branch, gather unresolved review comments, and drive a focused comment-resolution workflow with gh-authenticated context.
Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.
Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.
Calls Adobe Firefly
Extract frames or short clips from videos using ffmpeg.
Summarize or transcribe URLs, YouTube/videos, podcasts, articles, transcripts, PDFs, and local files.
Use when testing, fixing, or extending the OpenClaw Control UI GUI with Vitest + Playwright end-to-end checks, mocked Gateway WebSocket flows, mocked dashboard runs, screenshots/videos, or agent-verifiable browser proof.
Obra superpowers agent skills.
See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio...
End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.