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weekly-report

Crawl exhibition and seminar calendars to compile four-phase weekly reports.

Updated Aug 23, 2026
Search Tags:#analysis#reporting#crawl#web-scrape#administrative#weekly#event-data
One-click install
npx skills add https://github.com/sjbaik0431/claude --skill weekly-report-sjbaik0431
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: weekly-report
Source: https://github.com/sjbaik0431/claude/tree/main/skills/weekly-report
Command: npx skills add https://github.com/sjbaik0431/claude --skill weekly-report-sjbaik0431

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

주간 보고서를 작성하는 과정에서 여러 사이트에서 행사·세미나 정보를 수집하고 분류하는 작업은 시간이 많이 소요됩니다. 이 스킬은 주요 소스의 데이터를 자동으로 수집하고 4단계 분석 보고서로 구성된 결과물로 제공하여 수작업을 대체합니다.

Core Features & Use Cases

  • 대상 사이트 크롤링: A그룹(전시·행사 전문) 및 B그룹(정책·연구기관) 목록에서 행사 일정과 세부 정보를 자동으로 수집합니다.
  • 4단계 분석 보고서: 수집된 데이터의 성과, 장애, 향후 분석 및 대응방안을 구조화된 보고서로 제시합니다.
  • 사용 사례: 행정사 업무를 지원하는 주간 계획 수립, 행사 동향 모니터링, 정책 변화 파악 등 다양한 상황에 적용합니다.

Quick Start

주간 보고서를 자동으로 크롤링하고 수집 데이터를 바탕으로 주간 분석 보고서를 즉시 생성하라.

Frequently Asked Questions about weekly-report

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate weekly report generation from crawled event data?▼

Automating weekly report generation is done by crawling exhibition and seminar calendars from A-group and B-group sources, then compiling the collected event data into a structured four-phase report covering results, blockers, future analysis, and recommended actions.

What is the best way to collect administrative event data for weekly analysis?▼

Collecting administrative event data for weekly analysis involves crawling major exhibition and policy-research institution calendars, automatically extracting event schedules and details, and classifying them into a structured report format to replace manual data gathering.

Does this automated reporting approach support structured metadata and custom resources?▼

The automated reporting approach enforces YAML frontmatter metadata including name and description fields, and supports optional resources such as scripts, references, and assets with structured outputs containing category, keywords, dependencies, and components.

What are the limitations of using web scraping for administrative event monitoring?▼

Web scraping for administrative event monitoring depends on the accessibility and structure of target A-group and B-group source websites, meaning changes to those site layouts or access restrictions could impact the automatic collection of exhibition and seminar calendar data.

Can I use the collected weekly event data to track administrative industry trends?▼

Tracking administrative industry trends is supported by collecting and classifying event data from specialized exhibition and policy-research sources, which is then structured into a four-phase analysis covering results, blockers, future analysis, and recommended actions.

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