12개 에이전트로 구성된 학술 논문 작성 파이프라인입니다. 10가지 모드(전체/계획/개요/수정/수정코치/초록/문헌검토/형식변환/인용확인/공개), 6가지 논문 유형, 5가지 인용 형식, 이중 언어 초록, LaTeX/DOCX(Pandoc)/PDF 출력, 스타일 보정, 품질 검사, IRON RULE 마커를 통한 안티패턴 방지를 지원합니다.
imbad0202/academic-paper는 12개의 전문 에이전트가 협력하여 학술 논문 작성을 돕는 포괄적인 AI 파이프라인입니다. 이 스킬은 전체 논문 작성, 계획 수립, 개요 작성, 수정, 초록 및 문헌 검토 생성, 형식 변환, 인용 확인, AI 공개문 작성 등 10가지 모드를 제공합니다. 또한 6가지 논문 유형과 5가지 인용 형식을 지원하며, 한국어와 영어가 혼합된 이중 언어 초록을 생성할 수 있습니다. LaTeX, Pandoc을 통한 DOCX, PDF 등 다양한 출력 형식을 지원하고, 'IRON RULE' 마커를 사용하여 스타일 보정, 품질 검사, 안티패턴 방지를 수행합니다. Claude Code, Cursor, Codex와 같은 주요 AI 개발 플랫폼에서 사용할 수 있으며, 'write paper', 'academic paper', 'guide my paper' 등 다양한 트리거 문장으로 활성화됩니다.
npx skills add https://github.com/imbad0202/academic-research-skills/tree/main/skills/academic-paperInstalled? Explore more 연구 & 데이터 분석 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
12개 에이전트로 구성된 학술 논문 작성 파이프라인입니다. 10가지 모드(전체/계획/개요/수정/수정코치/초록/문헌검토/형식변환/인용확인/공개), 6가지 논문 유형, 5가지 인용 형식, 이중 언어 초록, LaTeX/DOCX(Pandoc 경유)/PDF 출력을 지원합니다. 스타일 보정 + 작성 품질 검사 + IRON RULE 마커를 통한 안티패턴 방지를 포함합니다. 트리거: 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.
This repo contains 3 individual skills — each has its own dedicated page.
Multi-perspective academic paper review with dynamic reviewer personas. Simulates 5 independent reviewers (EIC + 3 peer reviewers + Devil's Advocate) with field-specific expertise. Supports full review, re-review (verification), quick assessment, methodology focus, Socratic guided, and calibration modes. Triggers on: review paper, peer review, manuscript review, referee report, review my paper, critique paper, simulate review, editorial review, calibrate reviewer, reviewer calibration, measure reviewer accuracy.
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.