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Researcher — Deep Research Skill

Research a topic branch and generate cited markdown leaves with .tree.json updates.

Updated Jul 5, 2025
Search Tags:#knowledge graph#web search#mermaid diagrams#deep research#markdown artifacts#cited summaries#branch exploration
One-click install
npx skills add https://github.com/nsuberi/ai-prototype-hub --skill researcher-deep-research-skill
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Researcher — Deep Research Skill
Source: https://github.com/nsuberi/ai-prototype-hub/tree/main/prototypes/research-workspace/vault-seed/.claude/skills/researcher
Command: npx skills add https://github.com/nsuberi/ai-prototype-hub --skill researcher-deep-research-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you rapidly research a selected topic branch from multiple angles and convert findings into structured, reusable leaf documents.

Core Features & Use Cases

  • Branch-aware deep research: Loads a branch’s title, description, and root connections from .tree.json so outputs stay relevant to your goals.
  • Parallel sub-agent coverage: Spawns three focus areas—foundations, personal connections, and practical applications—so you get concept coverage plus “why it matters” and “how to use it.”
  • Cited, structured artifacts: Produces markdown leaves with citations and includes Mermaid diagrams when architecture is relevant.

Quick Start

Ask the system to delegate a branch to the Researcher skill after you confirm the research action, and it will generate new leaf files under leaves/{branch-slug}/ plus a summary.

Frequently Asked Questions about Researcher — Deep Research Skill

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

FAQPage Schema
How do I automate deep research and generate cited markdown artifacts for a specific topic?▼

Automating deep research for a topic requires loading branch context from a .tree.json file and running parallel web-enabled sub-agents. This process generates structured markdown artifacts with citations, creating reusable leaf documents under a branch-specific directory.

What is the best way to explore a knowledge graph branch from multiple angles?▼

Exploring a knowledge graph branch from multiple angles involves spawning three parallel sub-agents focused on foundations, personal connections, and practical applications. This parallel coverage ensures you receive concept details alongside why it matters and how to use it.

How do I add Mermaid diagrams to web search research summaries?▼

Mermaid diagrams are added to web search research summaries when architectural relevance is detected during the generation process. The research sub-agents automatically include these visual diagrams within the structured markdown artifacts alongside cited summaries.

Can I generate branch-aware cited summaries without manual web searching?▼

You can generate branch-aware cited summaries without manual web searching by delegating a branch to an automated research skill. The system loads existing branch titles and descriptions, executes parallel web searches, and outputs conversational reports with updated timestamps.

Do I need a .tree.json file to perform multi-angle branch exploration?▼

A .tree.json file is required to perform multi-angle branch exploration because the system reads branch titles, descriptions, and root connections from it. This file ensures research outputs remain relevant to your specific goals and updates leaf entries upon completion.

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