다중 관점 학술 논문 검토를 동적 검토자 페르소나로 수행합니다. 5명의 독립적인 검토자(편집장 + 3명의 동료 검토자 + 악마의 대변인)를 시뮬레이션하며, 분야별 전문성을 지원합니다. 전체 검토, 재검토(검증), 빠른 평가, 방법론 집중, 소크라테스식 안내, 캘리브레이션 모드를 제공합니다.
이 스킬은 학술 논문 검토 과정을 자동화하여 다중 관점의 종합적인 피드백을 제공합니다. 편집장, 동료 검토자 3명, 악마의 대변인 등 5명의 독립적인 검토자를 시뮬레이션하여 논문의 다양한 측면(과학적 타당성, 방법론, 결과 해석, 한계점 등)을 철저히 분석합니다. 사용자는 단순한 검토뿐 아니라 재검토, 빠른 평가, 방법론 집중, 소크라테스식 질문을 통한 심층 분석, 그리고 검토자 정확도 측정(캘리브레이션) 모드까지 선택할 수 있어 연구자에게 맞춤형 피드백을 제공합니다. Claude Code, Cursor, Codex 등 주요 AI 에이전트 플랫폼에서 실행 가능하며, 'review paper', 'peer review', 'manuscript review' 등의 자연어 트리거로 쉽게 활성화할 수 있습니다. SKILL.md 문서에 정의된 동적 검토자 페르소나는 각 분야의 전문성을 반영하여 보다 현실적이고 실용적인 리뷰 경험을 제공합니다.
npx skills add https://github.com/imbad0202/academic-research-skills/tree/main/skills/academic-paper-reviewerInstalled? Explore more 연구 & 데이터 분석 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
다중 관점 학술 논문 검토를 동적 검토자 페르소나로 수행합니다. 5명의 독립적인 검토자(편집장 + 3명의 동료 검토자 + 악마의 대변인)를 시뮬레이션하며, 분야별 전문성을 지원합니다. 전체 검토, 재검토(검증), 빠른 평가, 방법론 집중, 소크라테스식 안내, 캘리브레이션 모드를 제공합니다. 트리거: review paper, peer review, manuscript review, referee report, review my paper, critique paper, simulate review, editorial review, calibrate reviewer, reviewer calibration, measure reviewer accuracy.
This repo contains 3 individual skills — each has its own dedicated page.
12-agent academic paper writing pipeline. 10 modes (full/plan/outline/revision/revision-coach/abstract/lit-review/format-convert/citation-check/disclosure). 6 paper types, 5 citation formats, bilingual abstracts, LaTeX/DOCX-via-Pandoc/PDF output. Style Calibration + Writing Quality Check + Anti-Patterns with IRON RULE markers. Triggers: write paper, academic paper, guide my paper, parse reviews, AI disclosure, 寫論文, 學術論文, 引導我寫論文, 審查意見.
Orchestrator for the full academic research pipeline: research -> write -> integrity check -> review -> revise -> re-review -> re-revise -> final integrity check -> finalize. Coordinates deep-research, academic-paper, and academic-paper-reviewer into a seamless 10-stage workflow with mandatory integrity verification, two-stage peer review, and reproducible quality gates. Triggers on: academic pipeline, research to paper, full paper workflow, paper pipeline, end-to-end paper, research-to-publication, complete paper workflow.
Universal deep research agent team. 13-agent pipeline for rigorous academic research on any topic. 7 modes: full research, quick brief, paper review, lit-review, fact-check, Socratic guided research dialogue, and systematic review with optional meta-analysis. Covers research question formulation, Socratic mentoring, methodology design, systematic literature search, source verification, cross-source synthesis, risk of bias assessment, meta-analysis, APA 7.0 report compilation, editorial review, devil's advocate challenges, ethics review, and post-research literature monitoring. Triggers on: research, deep research, literature review, systematic review, meta-analysis, PRISMA, evidence synthesis, fact-check, guide my research, help me think through, 研究, 深度研究, 文獻回顧, 文獻探討, 系統性回顧, 後設分析, 事實查核, 引導我的研究, 幫我釐清, 幫我想想, 我不確定要研究什麼, 研究方向, 研究主題.
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.