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.