deep-research

Conduct academic research through a 13-agent pipeline from question formulation to APA 7.0 reports.

1|Updated Feb 1, 2026
One-click install
npx skills add https://github.com/mouseqiao85/AI-Plat --skill deep-research-mouseqiao85
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/mouseqiao85/AI-Plat/tree/main/agent/skills/deep-research
Command: npx skills add https://github.com/mouseqiao85/AI-Plat --skill deep-research-mouseqiao85

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, numpy, scikit-learn, spacy, transformers, torch, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides a comprehensive 13-agent pipeline for conducting rigorous academic research on any topic, covering 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.

Core Features & Use Cases

  • Universal Research Tool: A domain-agnostic 13-agent team for rigorous academic research.
  • Research Question Formulation: Transforms vague topics into precise, FINER-scored research questions with scope boundaries.
  • Socratic Mentoring: Guided research thinking through Socratic questioning across 5 layers.
  • Methodology Design: Designs methodology blueprint: paradigm, method, data strategy, analytical framework, validity criteria.
  • Systematic Literature Search: Systematic search strategy, source screening, annotated bibliography in APA 7.0.
  • Synthesis: Cross-source integration, contradiction resolution, thematic synthesis, gap analysis.
  • APA 7.0 Report Compilation: Drafts complete APA 7.0 report with Title, Abstract, Intro, Method, Findings, Discussion, References, Appendices.
  • Editorial and Ethics Review: Q1 journal editorial review, AI-assisted research ethics, attribution integrity, dual-use screening, fair representation check.
  • Post-Research Literature Monitoring: Post-research literature monitoring: digests, retraction alerts, contradictory findings detection.
  • Use Case: Conduct a systematic review of the impact of AI on higher education quality assurance.

Quick Start

Research the impact of AI on higher education quality assurance using the deep-research skill.

Frequently Asked Questions about deep-research

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I conduct a systematic review and meta-analysis from start to finish?

To conduct a systematic review and meta-analysis, this Skill uses a 13-agent pipeline covering research question formulation, methodology design, systematic literature search, source verification, cross-source synthesis, risk of bias assessment, and APA 7.0 report compilation.

What is a FINER-scored research question and how does Socratic mentoring work?

A FINER-scored research question provides precise scope boundaries for academic research, while Socratic mentoring guides research thinking through Socratic questioning across 5 layers to refine methodology and analytical frameworks.

Do I need Python and specific libraries to run academic research pipelines?

Yes, you need Python with pandas, numpy, scikit-learn, spacy, transformers, and torch installed to execute the academic research pipeline and perform systematic literature search, meta-analysis, and cross-source synthesis.

Can I generate an APA 7.0 formatted report with editorial and ethics review included?

Yes, the pipeline drafts complete APA 7.0 reports with Title, Abstract, Intro, Method, Findings, Discussion, References, and Appendices, followed by Q1 journal editorial review, AI-assisted research ethics checks, and attribution integrity screening.

Does this research pipeline support post-research literature monitoring and retraction alerts?

Yes, post-research literature monitoring provides digests, retraction alerts, and contradictory findings detection to keep your systematic review and meta-analysis up to date after initial publication.

What's the best way to design a methodology blueprint for systematic literature search?

The best way is using the methodology design agent to define research paradigm, method, data strategy, analytical framework, and validity criteria before executing systematic literature search and source verification.