deep-research
SolidUniversal deep research agent team. 13-agent pipeline for rigorous academic research on any topic. 8 modes: full research, quick brief, paper review, lit-review, fact-check, three-way literature scan, 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, WHY HOW WHAT papers, 3W literature scan, 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, 三段式文獻掃描, 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, 심층 연구, 문헌 조사, 체계적 문헌고찰, 메타분석, 사실 확인, 연구 방향을 잡아줘, 연구 주제 정하는 것을 도와줘.
Install
Quality Score: 86/100
Skill Content
Details
- Author
- Imbad0202
- Repository
- Imbad0202/academic-research-skills
- Created
- 6 months ago
- Last Updated
- today
- Language
- Python
- License
- NOASSERTION
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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.
deep-research-cs
CS/AI 领域的专属深度调研(deep research)agent 团队。8-agent 流水线,针对计算机 领域论文的 survey-grade 文献调研:冻结研究问题、按 arXiv/DBLP/Semantic Scholar/ OpenAlex/ACM/IEEE 多源系统检索、逐条引用验证、以方法流派/任务家族做 MECE 归纳、 产出含对比表和 SOTA 表的调查式综述。5 种模式:full(完整综述)、lit-review(文献 综述)、sota-scan(SOTA 追踪与对比)、quick(快速 brief)、fact-check(声明核验)。 触发词:计算机领域调研、CS 论文综述、survey、文献调研、方法梳理、SOTA 追踪、 benchmark 对比、研究现状、research landscape、literature review for CS/AI、 survey of X、state of the art、what is the state of X、deep research on LLM/系统/网络/安全/数据库 等。
deep-research
Multi-agent research engine that decomposes questions, dispatches parallel searcher agents, synthesizes findings with citations and confidence levels, runs mandatory contrarian/OTB challenges, gap-pursuit verification, and cross-model verification via Gemini CLI, and produces structured output with downstream adapters, research index, and management commands.