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imbad0202/academic-paper

12-Agent-Pipeline zum Schreiben akademischer Arbeiten. 10 Modi, 6 Paper-Typen, 5 Zitierformate, zweisprachige Abstracts, LaTeX/DOCX/PDF-Ausgabe. Stilkalibrierung + Schreibqualitätsprüfung + Anti-Patterns mit IRON-RULE-Markern.

Was ist academic-paper?

Dieses Skill orchestriert eine 12-Agenten-Pipeline zur vollständigen Erstellung akademischer Arbeiten. Es unterstützt 10 verschiedene Modi (u.a. Volltext, Plan, Gliederung, Überarbeitung, Abstract, Literaturübersicht, Formatkonvertierung und Zitationsprüfung) und bietet sechs Paper-Typen sowie fünf Zitierformate. Die Ausgabe erfolgt wahlweise als LaTeX, DOCX (über Pandoc) oder PDF. Besondere Merkmale sind die Stilkalibrierung, eine eingebaute Schreibqualitätsprüfung und Anti-Patterns, die mit IRON-RULE-Markern gekennzeichnet werden. Das Skill eignet sich für alle gängigen AI-Agenten-Plattformen (Claude Code, Cursor, Codex) und wird durch Trigger wie „write paper“, „academic paper“, „guide my paper“, aber auch chinesische Auslöser wie „寫論文“ aktiviert.

Funktioniert mit~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/imbad0202/academic-research-skills/tree/main/skills/academic-paper

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Dokumentation

Was macht academic-paper?

12-Agenten-Pipeline zum Schreiben akademischer Arbeiten. 10 Modi (Volltext/Plan/Gliederung/Überarbeitung/Überarbeitungs-Coach/Abstract/Literaturübersicht/Formatkonvertierung/Zitationsprüfung/Offenlegung). 6 Paper-Typen, 5 Zitierformate, zweisprachige Abstracts, LaTeX/DOCX-via-Pandoc/PDF-Ausgabe. Stilkalibrierung + Schreibqualitätsprüfung + Anti-Patterns mit IRON-RULE-Markern. Auslöser: 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.

Individual skills in this repo

This repo contains 3 individual skills — each has its own dedicated page.

imbad0202/academic-paper-reviewer

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.

imbad0202/academic-pipeline

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.

imbad0202/deep-research

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.

Verwandte Skills

affaan-m/uspto-database

USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.

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affaan-m/scholar-evaluation

Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.

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affaan-m/literature-review

Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.

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affaan-m/everything-claude-code

The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

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Agent skill repository discovered by 10x-chat research.

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langgenius/backend-code-review

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.

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