research-skills은(는) 무엇을 하나요?
팀 연구 표준 문서
팀 연구 표준 문서
이 스킬은 팀 연구 활동의 표준 문서를 제공합니다. 연구자들이 일관된 형식과 지침에 따라 작업할 수 있도록 돕습니다. 주로 AI 에이전트 시스템(예: Claude Code, Cursor)에서 사용되며, 연구 과정의 효율성과 통일성을 높이는 데 기여합니다. SKILL.md 문서를 기반으로 연구 작업의 품질과 생산성을 향상시키는 것을 목표로 합니다.
npx skills add vivieenlv-123/research-skillsInstalled? Explore more 연구 & 데이터 분석 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
팀 연구 표준 문서
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.