deep-research

Automate academic research workflows from question formulation to APA 7.0 report compilation.

Updated Jun 30, 2026
One-click install
npx skills add https://github.com/my-wangmanyu/hermes --skill deep-research-my-wangmanyu
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/my-wangmanyu/hermes/tree/main/.agents/skills/deep-research
Command: npx skills add https://github.com/my-wangmanyu/hermes --skill deep-research-my-wangmanyu

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Academic research from question to publication-ready report requires literature search, source verification, synthesis, and rigorous writing — a process that can take weeks. This Skill replaces that manual workflow with a coordinated 13-agent team that delivers APA 7.0 reports in hours while maintaining academic rigor, ethical standards, and full reproducibility.

Core Features & Use Cases

  • 13-Agent Pipeline: Specialized agents handle scoping, investigation, analysis, composition, and review with mandatory checkpoints for quality control.
  • 8 Operational Modes: Supports full research, quick briefs, literature reviews, systematic reviews with meta-analysis, fact-checking, Socratic guided dialogue, and three-way paper scans.
  • PRISMA Compliance: Built-in risk of bias assessment, GRADE certainty ratings, and forest plot generation for evidence-based research.
  • Use Case: A graduate student investigating AI in higher education receives a complete systematic review with 22 verified sources, thematic synthesis, and ethics clearance.

Quick Start

Use the deep-research skill to investigate the impact of declining birth rates on private universities and generate a complete APA 7.0 research report with verified sources.

Frequently Asked Questions about deep-research

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

FAQPage Schema
How do I automate a systematic literature review and generate an APA 7.0 report?

Automate systematic literature reviews by defining a research question, triggering the 13-agent pipeline for scoping and investigation, and compiling verified sources into an APA 7.0 report with PRISMA compliance checks.

What is the best way to conduct fact-checking and evidence synthesis for academic research?

Conduct fact-checking and evidence synthesis by applying source verification protocols across academic databases, utilizing specialized agents to assess risk of bias and generate GRADE certainty ratings for rigorous results.

Can I use this for meta-analysis and PRISMA compliance checks?

Yes, you can use it for meta-analysis and PRISMA compliance checks. It includes built-in risk of bias assessment, GRADE certainty ratings, and forest plot generation to ensure evidence-based research standards are met.

Does this research automation tool support Socratic guided dialogue?

Yes, the research automation tool supports Socratic guided dialogue as one of its 8 operational modes, enabling interactive investigation alongside full research and quick brief generation.

How do I start a meta-analysis with multiple academic databases?

Start a meta-analysis by inputting your research question, which initiates a coordinated 13-agent team to search academic databases, verify sources, and synthesize evidence with mandatory quality control checkpoints.

What are the limitations of automated academic research for publication?

Automated academic research requires integration with academic databases for source verification, and while it generates publication-ready APA 7.0 reports, users must still review the synthesized thematic content for domain-specific accuracy.