Skill 디렉토리

AI Agent를 위한 재사용 가능한 Skill을 찾으세요.

작업으로 실제 GitHub Skill을 검색하고 사용 전에 Stars, 신뢰, 감사, 카테고리, 설치 경로를 확인하세요.

모든 추천은 리포지토리, 감사, 설치 경로와 명확하게 연결됩니다.

검색 결과: csv-stream

영문 디렉토리

React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.

30K
Stars
88/100
신뢰
카테고리: coding-agents감사

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

63K
Stars
79/100
신뢰
카테고리: data-analysis감사

✨ Innovative and open-source visualization application that transforms various data formats, such as JSON, YAML, XML and CSV into interactive graphs.

44K
Stars
86/100
신뢰
카테고리: data-analysis감사
Yq83

yq is a portable command-line YAML, JSON, XML, CSV, TOML, HCL and properties processor

16K
Stars
83/100
신뢰
카테고리: devops감사

Python & Command-line tool to gather text and metadata on the Web: Crawling, scraping, extraction, output as CSV, JSON, HTML, MD, TXT, XML

6.4K
Stars
85/100
신뢰
카테고리: web-automation감사

Full featured CSV parser with simple api and tested against large datasets.

4.3K
Stars
77/100
신뢰
카테고리: data-analysis감사

Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON

9.9K
Stars
75/100
신뢰
카테고리: data-analysis감사

🌍 Discover our global repository of countries, states, and cities! 🏙️ Get comprehensive data in JSON, SQL, PSQL, SQLSERVER, MONGODB, SQLITE, XML, YAML, and CSV formats. Access ISO2, ISO3 codes, country code, capital, native language, timezones (for countries), and more. #countries #states #cities

9.6K
Stars
84/100
신뢰
카테고리: data-analysis감사

Review portfolio-company financial packages, flag variance to plan, and prepare monitored KPI summaries.

34K
Stars
75/100
신뢰
카테고리: Finance감사

Fancy stream processing made operationally mundane

8.7K
Stars
76/100
신뢰
카테고리: data-analysis감사

Open Vision Agents by Stream. Build voice and vision agents quickly with any model or video provider. Uses Stream's edge network for ultra-low latency.

7.9K
Stars
85/100
신뢰
카테고리: agent-frameworks감사

World countries in JSON, YAML, CSV and XML. Any help is welcome!

6.2K
Stars
80/100
신뢰
카테고리: data-analysis감사