ai-research-reproduction은(는) 무엇을 하나요?
에이전트 스킬 'ai-research-reproduction'은 lllllllama/rigorpilot-skills에서 제공됩니다.
AI 연구 재현을 위한 에이전트 스킬입니다.
이 스킬은 AI 연구 결과를 재현하고 검증하는 과정을 돕기 위해 설계되었습니다. 연구 논문에서 제시된 방법, 코드, 데이터를 바탕으로 실험을 재현하고 결과를 비교 분석합니다. 주로 클로드 코드(Claude Code), 커서(Cursor), 코덱스(Codex) 등 AI 에이전트 플랫폼에서 사용 가능하며, 연구 재현의 신뢰성과 효율성을 높이는 데 기여합니다. 스킬 사용자는 연구 설정, 실행, 로그 기록, 결과 시각화 등 재현 과정 전반을 체계적으로 관리할 수 있습니다.
npx skills add https://github.com/lllllllama/rigorpilot-skills/tree/main/skills/ai-research-reproductionInstalled? 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-reproduction'은 lllllllama/rigorpilot-skills에서 제공됩니다.
This repo contains 10 individual skills — each has its own dedicated page.
Agent skill 'ai-research-explore' 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.