多視角學術論文審查，具備動態審查人角色。模擬5位獨立審查人（主編+3位同儕審查人+魔鬼代言人），具備領域特定專業知識。支援完整審查、重新審查（驗證）、快速評估、方法論聚焦、蘇格拉底式引導與校準模式。
這是一個專為學術論文審查設計的 AI 技能，能夠以多個獨立審查角色（主編、3 位同儕審查人及魔鬼代言人）模擬真實的審查流程，並根據論文領域自動調整專業知識。它支援多種審查模式，包括完整審查、重新審查（用於驗證修改後版本）、快速評估、方法論深入分析、蘇格拉底式提問引導，以及審查人校準模式（用於衡量審查準確度）。此技能可廣泛應用於 Claude Code、Cursor 及 Codex 等開發者工具，透過觸發關鍵詞（如「審查論文」、「同儕審查」、「模擬審查」等）啟動。其核心價值在於提供全面、結構化且可重複的審查意見，協助研究者快速獲得高品質回饋，並透過校準功能持續優化審查品質。
npx skills add https://github.com/imbad0202/academic-research-skills/tree/main/skills/academic-paper-reviewerInstalled? Explore more 研究與資料分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
多視角學術論文審查，具備動態審查人角色。模擬5位獨立審查人（主編+3位同儕審查人+魔鬼代言人），具備領域特定專業知識。支援完整審查、重新審查（驗證）、快速評估、方法論聚焦、蘇格拉底式引導與校準模式。觸發關鍵詞：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.