完整学术研究工作流的编排器：从研究到撰写、完整性检查、同行评审、修改、重新评审、最终完整性检查到定稿。协调 deep-research、academic-paper 和 academic-paper-reviewer 三个组件，形成包含强制性完整性验证、两阶段同行评审和可复现质量门的 10 阶段无缝工作流。
该技能（imbad0202/academic-pipeline）是一个专为 AI 辅助学术研究设计的完整工作流编排器。它整合了 deep-research（深度研究）、academic-paper（论文撰写）和 academic-paper-reviewer（论文评审）三个关键子技能，形成从研究到最终定稿的 10 个严格阶段：研究 → 撰写 → 完整性检查 → 评审 → 修改 → 重新评审 → 重新修改 → 最终完整性检查 → 定稿。其核心价值在于强制性的完整性验证机制和两阶段同行评审流程，确保论文质量可复现且达到学术标准。该技能支持基于 Cursor、Claude Code 等 AI 代理平台运行，通过识别特定触发词（如 "academic pipeline"、"research to paper"、"full paper workflow" 等）来自动启动完整工作流。它非常适合需要高效、严谨撰写学术论文的研究人员、学生和开发者，能够极大简化从研究到出版的复杂流程。
npx skills add https://github.com/imbad0202/academic-research-skills/tree/main/skills/academic-pipelineInstalled? Explore more 研究与数据分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
完整学术研究工作流的编排器：研究 → 撰写 → 完整性检查 → 评审 → 修改 → 重新评审 → 重新修改 → 最终完整性检查 → 定稿。协调 deep-research、academic-paper 和 academic-paper-reviewer 三个组件，形成包含强制性完整性验证、两阶段同行评审和可复现质量门的 10 阶段无缝工作流。触发关键词：academic pipeline、research to paper、full paper workflow、paper pipeline、end-to-end paper、research-to-publication、complete paper workflow。
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.
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.
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.