Cheerio HTML 与 XML 解析库（Node.js 数据提取工作流）
Cheerio 是一个长期维护的 Node.js 库，用于解析和操作 HTML 与 XML，提供类似 jQuery 的 API。它广泛应用于抓取、提取和内容转换流程中，让开发者无需浏览器运行时即可实现快速的服务端 DOM 遍历。
安装
未能自动提取到基于源代码的安装或使用说明。在敏感工作流中使用此技能前，请先审查上游项目。
Cheerio 是一个长期维护的 Node.js 库，用于解析和操作 HTML 与 XML，提供类似 jQuery 的 API。它广泛应用于抓取、提取和内容转换流程中，让开发者无需浏览器运行时即可实现快速的服务端 DOM 遍历。
Cheerio 是一个基于 Node.js 的轻量级 HTML 与 XML 解析库，以其类似 jQuery 的简洁 API 而闻名。该技能允许 AI 代理（例如 Claude Code、Cursor 或 Codex）在服务端快速遍历和操作 DOM 结构，而不需要完整的浏览器环境，非常适合网页抓取、数据提取和内容转换等场景。它支持解析不完整或畸形的 HTML/XML，并提供了接近底层浏览器的选择器性能。该技能适用于任何支持 Node.js 运行时的 AI 代理平台，包括 Claude Code、Cursor、Codex 等。使用时，只需在项目中安装 cheerio 包即可导入并调用其核心 API，如 `cheerio.load(html)` 来解析文档，然后使用 `$('selector')` 选择元素进行遍历和修改。由于缺少自动安装的源备份，建议在敏感工作流中先审查上游项目。
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/cheerio-html-xml-parsing-library-nodejs-extraction-workflowsCheerio 是一个长期维护的 Node.js 库，用于解析和操作 HTML 与 XML，提供类似 jQuery 的 API。它广泛应用于抓取、提取和内容转换流程中，让开发者无需浏览器运行时即可实现快速的服务端 DOM 遍历。
未能自动提取到基于源代码的安装或使用说明。在敏感工作流中使用此技能前，请先审查上游项目。
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.