research

Coordinate a dual-agent workflow to plan and execute deep-topic research.

Updated Jan 24, 2026
One-click install
npx skills add https://github.com/Johnson1662/johnson-obsidian-notes --skill research-johnson1662
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research
Source: https://github.com/Johnson1662/johnson-obsidian-notes/tree/main/content/.claude/skills/research
Command: npx skills add https://github.com/Johnson1662/johnson-obsidian-notes --skill research-johnson1662

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinate a dual-agent research workflow to plan, orchestrate, and execute deep-topic investigations.

Core Features & Use Cases

  • Dual-agent research workflow: Planning Agent creates a plan; Orchestrator coordinates; Execution Agent conducts research and produces notes.
  • Structured outputs: main research note, atomic wiki notes, examples, and visual maps when needed.
  • Review loop: user reviews the plan and confirms before execution, enabling adjustments.

Quick Start

Initiate a topic research by requesting planning, then review and confirm the plan before execution.

Frequently Asked Questions about research

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

FAQPage Schema
How do I orchestrate a deep-topic research workflow with structured note-taking?

You can orchestrate deep-topic research by using a dual-agent workflow where a Planning Agent drafts an investigation plan and an Execution Agent gathers information to generate a main research note and atomic wiki notes.

What is the best way to plan and execute multi-step investigations for complex concepts?

The best way to plan multi-step investigations is through a coordinated dual-agent workflow that drafts a structured plan, requires your review and confirmation, and then executes the research to deliver organized outputs with frontmatter and links.

Can I review and adjust the research plan before the execution agent gathers information?

Yes, you can review and adjust the research plan before execution. The workflow includes a review loop where you confirm the drafted plan, enabling adjustments before the Execution Agent conducts the research.

How does a dual-agent research workflow generate knowledge-management outputs?

A dual-agent research workflow generates knowledge-management outputs by having an Orchestrator coordinate an Execution Agent to gather information, producing a main research note, atomic wiki notes, examples, and visual maps with frontmatter and links.

When should I use a multi-step research orchestration process instead of basic note-taking?

You should use a multi-step research orchestration process instead of basic note-taking when investigating technologies or complex topics where a structured, dual-agent workflow adds rigor and reproducibility to your deep insights.