deep-research

Solid

Universal 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.

AI & Automation 39,854 stars 3195 forks Updated today NOASSERTION

Install

View on GitHub

Quality Score: 86/100

Stars 20%
100
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Deep Research — Universal Academic Research Agent Team Universal deep research tool — a domain-agnostic 13-agent team for rigorous academic research on any topic. **v2.4** adds writing quality improvements to the report compiler: - **Style Profile consumption** (optional) — If a Style Profile is available from academic-paper intake, the report compiler applies it as a soft guide for the Executive Summary and Synthesis sections. Discipline conventions and report objectivity take priority. - **Writing Quality Check** — The report compiler runs a writing quality checklist before finalizing: flags AI-typical overused terms, checks sentence/paragraph length variation, removes throat-clearing openers. See `academic-paper/references/writing_quality_check.md`. > **Routing discipline (v3.9.2):** see `.claude/CLAUDE.md` "Routing Discipline (v3.9.2)" + `shared/references/intent_clarification_protocol.md` for cross-skill routing rules. This skill assumes routing has already settled — ambiguous cross-phase materials should have been clarified upstream. ## Quick Start **Minimal command:** ``` Research the impact of AI on higher education quality assurance ``` **Socratic mode:** ``` Guide my research on the impact of declining birth rates on private universities 引導我的研究:少子化對私立大學的影響 幫我釐清我的研究方向,我對高教品保有興趣但還不太確定 ``` **Execution:** 1. Scoping — Research question + methodology blueprint 2. Investigation — Systematic literature search + source verification 3. Analysis — Cross-source synthe...

Details

Author
Imbad0202
Repository
Imbad0202/academic-research-skills
Created
5 months ago
Last Updated
today
Language
Python
License
NOASSERTION

Bundled in these plugins

Similar Skills

Semantically similar based on skill content — not just same category

Data & Documents Solid

academic-paper

12-agent academic paper writing pipeline. 11 modes (full/plan/outline/revision/revision-coach/abstract/lit-review/format-convert/citation-check/disclosure/rebuttal-audit). 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, audit my rebuttal, check my response draft, AI disclosure, 寫論文, 學術論文, 引導我寫論文, 審查意見, 評估回覆, 논문 작성, 초록 작성, 논문 수정, 논문 계획을 도와줘, 심사 의견 반영, 답변서 점검, AI 사용 고지.

39,854 Updated today
Imbad0202
AI & Automation Solid

deep-research

Deep research skill — broad parallel web searches, multi-source validation, confidence tracking, cited Markdown report. Supports 11 research types: market (TAM/SAM, segments, pricing, trends), domain (industry structure, ecosystem, regulatory landscape), technical (architecture, tools, benchmarks), competitive (competitor teardown, positioning, win/loss), product (feature analysis, reviews, roadmap signals), academic (literature survey, citation networks, key authors), person/org (due diligence on a company or public figure), financial (funding rounds, valuation multiples, revenue signals), legal (IP, patents, litigation, compliance), trend (emerging signals, foresight, scenario mapping), community (ecosystem health, key voices, governance, fragmentation). Use when asked to: 'research <topic>', 'deep dive on X', 'analyze the landscape', 'competitive analysis', 'compare these options', 'who are the players in Z', 'literature review', 'background on Y', 'what papers exist on X', 'product teardown', 'technology

2 Updated yesterday
hssh8917
AI & Automation Listed

deep-research

Multi-source research with mechanical quality control. USE WHEN a question needs outside information and the answer has to be trustworthy: technology evaluation, market or competitive analysis, architecture decisions, "what do practitioners actually do", or any topic with 3+ dimensions. Handles narrow questions (sequential, one context) and broad ones (parallel independent agents) through the same quality gate. Триггеры: «deep-research», «дипресёрч», «глубокое исследование», «сравни технологии/подходы», «как это делают на практике», «research».

0 Updated 2 days ago
akuroglo