ai-research-explore은(는) 무엇을 하나요?
에이전트 스킬 'ai-research-explore'는 lllllllama/rigorpilot-skills에서 제공됩니다.
에이전트가 AI 연구 논문과 자료를 탐색하고 요약할 수 있게 해주는 기술입니다.
이 스킬은 AI 에이전트가 최신 AI 연구 논문, 블로그 포스트, 기술 자료를 자동으로 탐색하고 요약할 수 있도록 설계되었습니다. 주로 arXiv, Papers With Code, Hugging Face 등 공개 연구 저장소에서 정보를 수집하며, 에이전트가 복잡한 연구 주제를 빠르게 이해하고 관련 리소스를 찾을 수 있게 도와줍니다. 이 스킬은 Claude Code, Cursor, Codex 등 다양한 에이전트 플랫폼에서 사용할 수 있으며, JSON 및 Markdown 형식으로 결과를 출력합니다. 연구자, 개발자, 혹은 AI 분야의 최신 동향을 따라가야 하는 모든 사용자에게 유용하며, 자연어 쿼리만으로도 심층 연구 탐색이 가능합니다.
npx skills add https://github.com/lllllllama/rigorpilot-skills/tree/main/skills/ai-research-exploreInstalled? Explore more 연구 & 데이터 분석 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
에이전트 스킬 'ai-research-explore'는 lllllllama/rigorpilot-skills에서 제공됩니다.
This repo contains 10 individual skills — each has its own dedicated page.
Agent skill 'ai-research-reproduction' from lllllllama/rigorpilot-skills.
Agent skill 'analyze-project' from lllllllama/rigorpilot-skills.
Agent skill 'env-and-assets-bootstrap' from lllllllama/rigorpilot-skills.
Agent skill 'explore-code' from lllllllama/rigorpilot-skills.
Agent skill 'explore-run' from lllllllama/rigorpilot-skills.
Agent skill 'minimal-run-and-audit' from lllllllama/rigorpilot-skills.
Agent skill 'paper-context-resolver' from lllllllama/rigorpilot-skills.
Agent skill 'repo-intake-and-plan' from lllllllama/rigorpilot-skills.
Agent skill 'run-train' from lllllllama/rigorpilot-skills.
Agent skill 'safe-debug' from lllllllama/rigorpilot-skills.
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.