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.