deep-research

Gather and synthesize multi-source research into structured reports with citation scoring.

Updated Apr 28, 2026
One-click install
npx skills add https://github.com/Kirankumar2604/solutionChallenge --skill deep-research-kirankumar2604
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/Kirankumar2604/solutionChallenge/tree/main/.local/secondary_skills/deep-research
Command: npx skills add https://github.com/Kirankumar2604/solutionChallenge --skill deep-research-kirankumar2604

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the challenge of synthesizing complex, multi-faceted information from disparate web sources into a coherent, evidence-based report, eliminating the need for manual search and collation.

Core Features & Use Cases

  • Multi-Agent Research: Decomposes complex topics into distinct focus areas researched in parallel by specialized subagents.
  • Source Credibility Scoring: Systematically evaluates and triangulates data from Tier 1, 2, and 3 sources to ensure accuracy.
  • Use Case: Use this skill to generate a comprehensive market analysis report on the state of electric vehicle infrastructure, including competitive landscape, policy impacts, and consumer economics.

Quick Start

Activate the deep-research skill to conduct a standard-depth investigation into the current trends and competitive landscape of the global renewable energy market.

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-source research with source triangulation for complex topics?

Multi-source research with source triangulation is conducted by decomposing complex topics into focus areas, evaluating Tier 1, 2, and 3 sources in parallel, and synthesizing findings into structured reports with strict credibility scoring.

What is the best way to generate a comprehensive market analysis report from web sources?

The best way to generate a comprehensive market analysis report is using multi-agent research that systematically gathers, evaluates, and synthesizes disparate web data into a coherent, evidence-based document.

How does source credibility scoring work when synthesizing evidence-based decision support reports?

Source credibility scoring works by systematically evaluating and triangulating data across Tier 1, 2, and 3 sources to ensure accuracy and adherence to strict citation protocols during evidence synthesis.

Can I use parallel subagent orchestration for technology evaluation and competitive landscape research?

Yes, you can use parallel subagent orchestration for technology evaluation by deploying specialized subagents to research distinct focus areas concurrently before synthesizing the collated data.

When do I need structured reporting for complex, multi-faceted information synthesis?

You need structured reporting for complex information synthesis when you must collate disparate web sources into a coherent document, eliminating manual search and ensuring strict citation protocols.

What are the limitations of using automated subagents for comprehensive multi-source research?

Automated multi-source research depends on the accessibility of web sources and requires strict adherence to citation protocols to prevent inaccuracies during parallel subagent information synthesis.