apify-actor-development은(는) 무엇을 하나요?
Apify Actor를 개발, 디버그, 배포합니다. 웹 스크래핑, 자동화 및 데이터 처리를 위한 서버리스 클라우드 프로그램입니다. 새로운 Actor 생성, 기존 Actor 수정 또는 Actor 코드 문제 해결 시 사용합니다.
Apify Actor를 개발, 디버그, 배포합니다. 웹 스크래핑, 자동화 및 데이터 처리를 위한 서버리스 클라우드 프로그램입니다. 새로운 Actor 생성, 기존 Actor 수정 또는 Actor 코드 문제 해결 시 사용합니다.
이 스킬은 Apify Actor의 개발, 디버깅 및 배포를 지원합니다. Apify Actor는 웹 스크래핑, 자동화 및 데이터 처리를 위한 서버리스 클라우드 프로그램입니다. 사용자는 이 스킬을 통해 새로운 Actor를 생성하거나 기존 Actor를 수정하고, 로컬 환경에서 코드를 테스트한 후 Apify 클라우드에 원활하게 배포할 수 있습니다. 주로 JavaScript/TypeScript 및 Python 런타임을 지원하며, Apify SDK와 Crawlee 라이브러리를 기반으로 구축됩니다. 이 스킬의 주요 기능으로는 Actor 프로젝트 초기화, 의존성 관리, 로컬 실행 및 디버깅, 비밀 정보(환경 변수) 설정, 클라우드 배포 및 모니터링이 포함됩니다.
npx skills add https://github.com/apify/agent-skills/tree/main/skills/apify-actor-developmentInstalled? Explore more 연구 & 데이터 분석 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Apify Actor를 개발, 디버그, 배포합니다. 웹 스크래핑, 자동화 및 데이터 처리를 위한 서버리스 클라우드 프로그램입니다. 새로운 Actor 생성, 기존 Actor 수정 또는 Actor 코드 문제 해결 시 사용합니다.
This repo contains 13 individual skills — each has its own dedicated page.
Convert existing projects into Apify Actors - serverless cloud programs. Actorize JavaScript/TypeScript (SDK with Actor.init/exit), Python (async context manager), or any language (CLI wrapper). Use when migrating code to Apify, wrapping CLI tools as Actors, or adding Actor SDK to existing projects.
Understand audience demographics, preferences, behavior patterns, and engagement quality across Facebook, Instagram, YouTube, and TikTok.
Track reviews, ratings, sentiment, and brand mentions across Google Maps, Booking.com, TripAdvisor, Facebook, Instagram, YouTube, and TikTok. Use when user asks to monitor brand reputation, analyze reviews, track mentions, or gather customer feedback.
Analyze competitor strategies, content, pricing, ads, and market positioning across Google Maps, Booking.com, Facebook, Instagram, YouTube, and TikTok.
Track engagement metrics, measure campaign ROI, and analyze content performance across Instagram, Facebook, YouTube, and TikTok.
Scrape e-commerce data for pricing intelligence, customer reviews, and seller discovery across Amazon, Walmart, eBay, IKEA, and 50+ marketplaces. Use when user asks to monitor prices, track competitors, analyze reviews, research products, or find sellers.
Generate output schemas (dataset_schema.json, output_schema.json, key_value_store_schema.json) for an Apify Actor by analyzing its source code. Use when creating or updating Actor output schemas.
Find and evaluate influencers for brand partnerships, verify authenticity, and track collaboration performance across Instagram, Facebook, YouTube, and TikTok.
Generates B2B/B2C leads by scraping Google Maps, websites, Instagram, TikTok, Facebook, LinkedIn, YouTube, and Google Search. Use when user asks to find leads, prospects, businesses, build lead lists, enrich contacts, or scrape profiles for sales outreach.
Analyze market conditions, geographic opportunities, pricing, consumer behavior, and product validation across Google Maps, Facebook, Instagram, Booking.com, and TripAdvisor.
Integrate Apify into an existing JavaScript/TypeScript or Python application using the apify-client package. Use when adding web scraping, automation, or data extraction capabilities to an existing app via the Apify API.
Discover and track emerging trends across Google Trends, Instagram, Facebook, YouTube, and TikTok to inform content strategy.
Universal AI-powered web scraper for any platform. Scrape data from Instagram, Facebook, TikTok, YouTube, LinkedIn, X/Twitter, Google Maps, Google Search, Google Trends, Reddit, Airbnb, Yelp, and 15+ more platforms. Use for lead generation, brand monitoring, competitor analysis, influencer discovery, trend research, content analytics, audience analysis, review analysis, SEO intelligence, recruitment, or any data extraction task.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.