deep-research

Gather, evaluate, and synthesize multi-source information into cited reports.

Updated Apr 5, 2026
One-click install
npx skills add https://github.com/offers-png/one-time-checkout --skill deep-research-offers-png
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/offers-png/one-time-checkout/tree/main/.local/secondary_skills/deep-research
Command: npx skills add https://github.com/offers-png/one-time-checkout --skill deep-research-offers-png

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Deep-research automates multi-source information gathering, evaluation, and structured reporting with citations.

Core Features & Use Cases

  • Phase-driven research methodology enabling scoping, parallel subagent exploration, and final synthesis.
  • Structured outputs with citations, gaps identification, and cross-source validation.
  • Use Cases: literature reviews, market analyses, technology evaluations, policy analysis.

Quick Start

Follow the five-focus-area workflow to gather sources, evaluate credibility, and synthesize findings with citations.

Frequently Asked Questions about deep-research

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

FAQPage Schema
How do I synthesize information from multiple sources into a structured literature review?

Multi-source synthesis is achieved by scoping the topic, deploying parallel subagents for exploration, cross-referencing findings, and generating a final narrative with clearly cited evidence. This structured methodology ensures comprehensive coverage and validated results.

What is the best way to conduct a market analysis with cross-source validation?

Conducting a market analysis with cross-source validation requires gathering explicit sources, evaluating credibility across five focus areas, and cross-referencing data to identify gaps. The process outputs a structured report with citations.

Can I use this research methodology for technology evaluations and policy assessments?

Yes, the research methodology supports technology evaluations and policy assessments by systematically gathering and evaluating information. It uses parallel exploration to synthesize complex topics into structured, cited reports.

How does parallel subagent exploration work for complex topic research?

Parallel subagent exploration works by dividing complex topics into five focus areas, deploying subagents to gather explicit sources simultaneously, and cross-referencing the collected data to synthesize a final narrative with cited evidence.

Do I need to provide explicit source collection before generating a cited research report?

Yes, explicit source collection is required before generating a cited research report. The methodology mandates gathering sources first, followed by parallel evaluation and cross-source validation to ensure the final narrative is accurately cited.

When should I not use a multi-source research methodology with parallel subagents?

You should avoid this multi-source research methodology for simple, single-source queries that do not require cross-source validation or structured literature reviews, as the parallel subagent deployment is designed for complex, multi-source synthesis tasks.