学術研究パイプライン全体のオーケストレーター：調査→執筆→整合性チェック→レビュー→修正→再レビュー→再修正→最終整合性チェック→完了。10段階のワークフローで、deep-research、academic-paper、academic-paper-reviewerを調整し、必須の整合性検証、2段階のピアレビュー、再現可能な品質ゲートを実現します。
このスキルは、学術研究パイプライン全体を自動化・統合するオーケストレーターです。「調査→執筆→整合性チェック→レビュー→修正→再レビュー→再修正→最終整合性チェック→完了」という10段階のワークフローを、必須の整合性検証と2段階のピアレビューとともに調整します。内部的には、`deep-research`、`academic-paper`、`academic-paper-reviewer` の3つの専門スキルをシームレスに連携させ、各段階で結果の品質を確認する再現可能な品質ゲートを実装しています。このスキルは、学術論文の作成から出版準備までのエンドツーエンドのプロセスを一貫して管理したい研究者や開発者にとって有用であり、`academic pipeline`、`research to paper`、`full paper workflow`、`paper pipeline`、`end-to-end paper`、`research-to-publication`、`complete paper workflow` といったトリガーフレーズで起動できます。
npx skills add https://github.com/imbad0202/academic-research-skills/tree/main/skills/academic-pipelineInstalled? 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 →
学術研究パイプライン全体のオーケストレーター：調査→執筆→整合性チェック→レビュー→修正→再レビュー→再修正→最終整合性チェック→完了。deep-research、academic-paper、academic-paper-reviewer を調整し、必須の整合性検証、2段階のピアレビュー、再現可能な品質ゲートを備えたシームレスな10段階ワークフローを実現します。トリガーフレーズ：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.