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Kit4Some
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deep-research

Orchestrates parallel research agents to synthesize analyst-ready reports with knowledge graphs.

4|Updated Mar 21, 2026
Search Tags:#multi-agent#memory#deduplication#knowledge-graph#parallel-execution#deep-research#analysis-report
One-click install
npx skills add https://github.com/Kit4Some/Oh-my-ClaudeClaw --skill deep-research-kit4some
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/Kit4Some/Oh-my-ClaudeClaw/tree/main/skills/deep-research
Command: npx skills add https://github.com/Kit4Some/Oh-my-ClaudeClaw --skill deep-research-kit4some

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrates parallel, multi-agent research to produce comprehensive, analyst-grade reports with knowledge-graph enrichment.

Core Features & Use Cases

  • Parallel Research: Spawns multiple research agents in parallel to cover overview, recent developments, and technical depth.
  • Knowledge Graph & Deduplication: Deduplicates against existing knowledge and builds graph connections to enrich insights.
  • Analyst Synthesis & Delivery: Produces a cohesive, prioritized report with findings, trends, and recommendations.

Quick Start

Initiate a deep-research task to generate a unified, analyst-ready analysis.

Frequently Asked Questions about deep-research

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

FAQPage Schema
How do I conduct multi-agent research to generate an analysis report?▼

To generate an analysis report via multi-agent research, this Skill orchestrates parallel agents to gather overviews, recent developments, and technical details, then synthesizes them into a unified output with deduplicated knowledge and traceable sources.

How does a knowledge graph improve deep-research deduplication?▼

A knowledge graph improves deep-research deduplication by mapping and connecting newly gathered information against existing knowledge, ensuring redundant data is removed and synthesized insights remain structurally enriched and traceable.

Can I trace claims back to their original sources in the generated report?▼

Yes, you can trace claims back to their original sources in the generated report. The Skill ensures outputs are analyst-ready by explicitly linking synthesized findings, trends, and actionable recommendations directly to their underlying sources.

What is the best way to synthesize technical details and recent developments in parallel?▼

The best way to synthesize technical details and recent developments in parallel is using a multi-agent workflow that concurrently gathers data across multiple angles, deduplicates findings against existing knowledge, and constructs a cohesive analysis report.

Does parallel execution work for rapid multi-angle research and synthesis?▼

Yes, parallel execution works for rapid multi-angle research and synthesis. The Skill applies a parallel-agent workflow to simultaneously gather overview, recent developments, and deep technical details, ensuring rapid and thorough output delivery.

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