deep-research

Decompose topics into MECE angles and orchestrate parallel Opus sub-agents for research synthesis.

1|2|Updated Apr 13, 2026

Search Tags:#multi-agent #web research #gap analysis #deep research #source citations #MECE decomposition #vault document

Ready to run

npx skills add https://github.com/jgwill/dotagents --skill deep-research-jgwill

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/jgwill/dotagents/tree/main/skills/deep-research
Command: npx skills add https://github.com/jgwill/dotagents --skill deep-research-jgwill

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill eliminates shallow, incomplete research by producing comprehensive, multi-angle findings for topics that need exhaustive coverage and citations.

Core Features & Use Cases

MECE topic decomposition: Breaks a research question into 3–6 non-overlapping angles so you don’t miss important perspectives.
Multi-agent parallel investigation: Runs multiple Opus-based research sub-agents across angles, then performs gap analysis.
Synthesis into a vault-ready document: Produces one comprehensive report with contradictions, evidence quality, and fully attributed sources.
Currency-first behavior: Injects today’s date into sub-agent prompts so the final output reflects current (near-2026) information.

Quick Start

Ask your AI to run deep-research for the topic and save the resulting comprehensive report into your vault research folder.

Frequently Asked Questions about deep-research

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

FAQPage Schema

How do I conduct deep research with multi-agent web investigation and source citations?▼

Multi-agent deep research decomposes your topic into MECE angles, runs parallel Opus sub-agents for investigation and gap analysis, and synthesizes findings into a cited document. This ensures exhaustive topic coverage with attributed sources and contradiction reporting.

What is MECE decomposition for exhaustive topic coverage?▼

MECE decomposition breaks a research question into 3–6 non-overlapping angles to ensure comprehensive investigation. This structured approach prevents missing important perspectives during multi-agent research and gap analysis.

How do I save comprehensive research reports into a vault document?▼

To save comprehensive research reports into a vault document, instruct your AI to run the deep-research process on your topic. It generates a structured report with YAML frontmatter discovery metadata and outputs a final vault path for storage.

Does deep research work with current web information and report contradictions?▼

Deep research handles current web information by injecting today’s date into sub-agent prompts, ensuring near-2026 data retrieval. It also performs gap analysis to report contradictions and evaluate evidence quality across sources.

Can I use parallel Opus sub-agents for gap analysis on any research subject?▼

Yes, you can use parallel Opus sub-agents for gap analysis on any research subject requiring exhaustive coverage. The orchestration pipeline enforces source-quality rules and synthesizes multi-angle findings into a single vault-ready research document.

What are the limitations of multi-agent research for complex topics?▼

Limitations of multi-agent research include potential latency from running parallel Opus sub-agents and the necessity of structuring outputs into a specific vault document format with YAML frontmatter, which requires a compatible research vault setup.