複数の視点からの学術論文レビューと動的なレビューアペルソナ。EIC＋3人の査読者＋悪魔の代弁者という5人の独立したレビューアを、分野固有の専門知識を持ってシミュレートします。
このスキルは、AIエージェント（Claude Code、Cursor、Codexなど）上で動作する学術論文レビューツールです。ユーザーが論文を提出すると、EIC（編集長）、3人の分野別査読者、悪魔の代弁者という5つの独立したペルソナが自動的に生成され、それぞれの専門的視点から包括的なレビューを提供します。フルレビュー、再レビュー（検証）、迅速評価、方法論フォーカス、ソクラテス式ガイド、キャリブレーションなど6つのモードをサポートしており、ユーザーは目的に応じて最適なレビュータイプを選択できます。特に「キャリブレーションモード」では、レビューアの精度を測定・調整できるため、研究者や編集者がレビューの質を客観的に評価するのに役立ちます。このスキルは「review paper」「peer review」「calibrate reviewer」などの特定のトリガーフレーズで起動します。
npx skills add https://github.com/imbad0202/academic-research-skills/tree/main/skills/academic-paper-reviewerInstalled? Explore more 研究＆データ分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
複数の視点からの学術論文レビューと動的なレビューアペルソナ。EIC（編集長）＋3人の査読者＋悪魔の代弁者という5人の独立したレビューアを、分野固有の専門知識を持ってシミュレートします。フルレビュー、再レビュー（検証）、迅速評価、方法論フォーカス、ソクラテス式ガイド、キャリブレーションモードをサポート。以下のトリガーで起動します：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.