ClaudSkills / General / finance-personal

Data Scraping Pipeline

Quality score: 70/100 · Category: General · Sub-category: finance-personal

TradingView 데이터 스크래핑 자동화 파이프라인 가이드. 사용 시점: (1) 스크래퍼 실행 방법 문의 시, (2) 데이터 파이프라인 아키텍처 이해 필요 시, (3) DB 업로드 설정/디버깅 시, (4) 스크래핑 자동화 확장 작업 시. Triggers: TradingView scraper, data scraping, 주가 데이터, CSV 다운로드, DB 업로드, SSH tunnel, 자동화 파이프라인, Playwright.

What this skill does

Data Scraping Pipeline is a production-ready Claude Code skill (quality score 70/100) in the finance-personal sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/data-scraping-pipeline/ and loads when your prompt matches the skill's trigger.

Who uses this skill

The Data Scraping Pipeline skill is built for Claude Code users and developers across all disciplines looking for general-purpose AI assistance. It is part of the open ClaudSkills registry, a community-curated catalog of 15,000+ capabilities you can install for Claude Code — the Claude CLI agent.

How to install

Free

Manual install (2 steps)

mkdir -p ~/.claude/skills/data-scraping-pipeline
curl -L https://claudskills.com/skills/data-scraping-pipeline/SKILL.md \
  -o ~/.claude/skills/data-scraping-pipeline/SKILL.md

Or just download SKILL.md directly and drop it into ~/.claude/skills/data-scraping-pipeline/. Claude Code auto-discovers it on next session.

Skills live at ~/.claude/skills/data-scraping-pipeline/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\data-scraping-pipeline\SKILL.md on Windows. See the full install guide for step-by-step instructions.

Pro

One-click install via the desktop app

The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.

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Part of ClaudSkills — the open registry for Claude Code skills. · What's New · Install guide · About · llms.txt

Part of Acreator Store — Adam Lankamer's AI tools: GifPerfect · AspectPerfect · SlomoPerfect · Ucaption · UTagger · AutoXPoster · TestYourSkills