建構可擴展的雲端爬蟲 Apify Actor，具備自動代理管理與儲存功能。使用 Apify SDK (Actor、Dataset、KeyValueStore、RequestQueue) 與 Crawlee 函式庫來實現穩健的爬取。
此技能提供了一套完整的開發環境，用於建構 Apify Actor，這是在 Apify 平台上執行的可擴展雲端爬蟲。它整合了 Apify SDK 的核心元件，包括 Actor、Dataset、KeyValueStore 與 RequestQueue，並搭配 Crawlee 函式庫，實現強大的網頁爬取與資料擷取功能。主要優點在於自動代理管理與內建儲存機制，讓開發者能專注於爬蟲邏輯，而無需處理基礎設施問題。此技能支援 Node.js 16 以上版本，並提供詳細的文件指南，引導使用者從在地端開發一路部署到 Apify 平台。無論是簡單的資料收集還是大規模的網頁擷取任務，此套件都能大幅提升開發效率與可靠性。
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/apify-actor-development-kit建構可擴展的雲端爬蟲 Apify Actor，具備自動代理管理與儲存功能。使用 Apify SDK (Actor、Dataset、KeyValueStore、RequestQueue) 與 Crawlee 函式庫來實現穩健的爬取。
使用符合您環境的上游安裝或設定路徑：
上游的需求與注意事項：
基本使用或入門須知：
本簡短教學將讓您在一兩分鐘內開始使用 Apify SDK。
如果您想深入學習，請參考 Apify 平台 指南，該指南將逐步引導您在 Apify 平台上執行 Actor。
從上游文件擷取：https://raw.githubusercontent.com/apify/apify-sdk-js/HEAD/README.md
This repo contains 20 individual skills — each has its own dedicated page.
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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.
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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.
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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.
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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...
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