data-team-skills은(는) 무엇을 하나요?
GL.iNet 데이터 팀 공용 Claude Code Skills 모음
GL.iNet 데이터 팀 공용 Claude Code Skills 모음
이 스킬은 GL.iNet 데이터 팀이 Claude Code와 함께 사용하도록 설계된 공용 스킬(skills) 모음입니다. 주로 데이터 분석, 처리, GL.iNet 관련 작업을 자동화하고 표준화하는 Claude Code Skills 세트를 제공합니다. Claude Code 환경에서 팀 공통 작업을 효율적으로 수행할 수 있도록 사전 정의된 프롬프트와 설정을 포함합니다. 이 스킬을 통해 반복적인 데이터 작업을 간소화하고, 팀 내 일관된 작업 방식을 유지하는 데 도움을 줍니다.
npx skills add HS-Jack-YZY/data-team-skillsInstalled? Explore more 연구 & 데이터 분석 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
GL.iNet 데이터 팀 공용 Claude Code Skills 모음
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.