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imbad0202/deep-research

A universal deep research agent team with a 13-agent pipeline for rigorous academic research on any topic.

What is deep-research?

This skill, imbad0202/deep-research, provides a comprehensive, multi-agent system for academic research, designed to assist developers and AI agent users with rigorous, evidence-based investigations. It supports seven distinct modes—full research, quick brief, paper review, literature review, fact-check, Socratic guided dialogue, and systematic review with optional meta-analysis—making it versatile for various research depths and formats. The 13-agent pipeline covers the entire research lifecycle, from formulating questions and designing methodology to synthesizing sources, assessing bias, compiling APA 7.0 reports, and even post-research literature monitoring. It is useful for anyone needing structured, reliable research assistance, triggered by keywords like 'research,' 'literature review,' or 'systematic review,' and can be integrated into platforms like Claude Code or Cursor to automate deep academic investigation.

Works with~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/imbad0202/academic-research-skills/tree/main/skills/deep-research

Installed? Explore more Research & Data Analysis skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →

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Documentation

What does deep-research do?

Universal deep research agent team. A 13-agent pipeline for rigorous academic research on any topic. 7 modes: full research, quick brief, paper review, literature 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.

Individual skills in this repo

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

imbad0202/academic-paper

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.

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.

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