通用深度研究代理團隊。13 代理管線，適用於任何主題的嚴謹學術研究。提供 7 種模式：完整研究、快速簡報、論文審查、文獻回顧、事實查核、蘇格拉底式引導對話，以及可選後設分析之系統性回顧。
這是一個強大的 AI 代理技能，專為支援學術研究而設計。它建立了一個由 13 個專門代理組成的管線，涵蓋從研究問題形成到最終報告編譯的完整研究流程。該技能支援 7 種操作模式，包括完整研究、快速簡報、論文審查、文獻回顧、事實查核、蘇格拉底式引導研究對話以及系統性回顧（可選後設分析）。其功能範圍廣泛，從研究問題設計、方法論建構、系統性文獻搜尋、來源驗證、跨來源綜合、偏差風險評估、後設分析，到 APA 7.0 格式報告編譯、編輯審查、魔鬼代言人挑戰、倫理審查以及研究後的文獻監測。此工具對研究人員、學生、分析師或任何需要執行嚴謹、多方協作式文獻回顧或證據綜合的人特別有用。觸發詞涵蓋中英文，如「research」、「深度研究」、「文獻回顧」、「事實查核」等，使其能無縫整合至支援 AI 代理的開發環境，如 Cursor 或 Codex 平台。
npx skills add https://github.com/imbad0202/academic-research-skills/tree/main/skills/deep-researchInstalled? 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 →
通用深度研究代理團隊。13 代理管線，適用於任何主題的嚴謹學術研究。7 種模式：完整研究、快速簡報、論文審查、文獻回顧、事實查核、蘇格拉底式引導研究對話，以及可選後設分析的系統性回顧。涵蓋研究問題形成、蘇格拉底式指導、方法論設計、系統性文獻搜尋、來源驗證、跨來源綜合、偏差風險評估、後設分析、APA 7.0 報告編譯、編輯審查、魔鬼代言人挑戰、倫理審查以及研究後的文獻監測。觸發詞：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。
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.
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.
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.