perplexity-deep-research은(는) 무엇을 하나요?
Perplexity AI 딥 리서치 클로드 스킬
출처: https://github.com/mishraxram/perplexity-deep-research
푸시: 2026-06-02T04:19:25Z
Perplexity AI 딥 리서치 클로드 스킬
이 스킬은 Perplexity AI의 딥 리서치 기능을 Claude 코드 에이전트와 통합하여 심층적인 인터넷 조사 기능을 제공합니다. 사용자가 복잡한 주제에 대해 최신 정보를 수집하고 분석된 결과를 얻을 수 있도록 지원합니다. Claude가 Perplexity API를 통해 질의를 수행하고, 여러 출처에서 종합된 답변을 생성합니다. 이 스킬은 GitHub 저장소에서 제공되며, 개발자와 연구자들이 효율적으로 심층 조사 작업을 자동화하는 데 유용합니다.
npx skills add mishraxram/perplexity-deep-researchInstalled? Explore more 연구 & 데이터 분석 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Perplexity AI 딥 리서치 클로드 스킬
출처: https://github.com/mishraxram/perplexity-deep-research
푸시: 2026-06-02T04:19:25Z
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.