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deep-research

Coordinate parallel subagents to research topics and generate cited reports.

Updated Apr 3, 2026
Search Tags:#workflow#research#citations#parallel-subagents#structured-report#source-evaluation#multisource
One-click install
npx skills add https://github.com/gopforever/Idle-Echoes --skill deep-research-gopforever
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/gopforever/Idle-Echoes/tree/main/.local/secondary_skills/deep-research
Command: npx skills add https://github.com/gopforever/Idle-Echoes --skill deep-research-gopforever

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Conducts rigorous, multi-source research and delivers structured, cited findings to support decision-making and knowledge building.

Core Features & Use Cases

  • Decomposes topics into distinct focus areas and coordinates parallel subagents to gather diverse perspectives.
  • Synthesizes findings into a cohesive, citation-rich report suitable for literature reviews, market analyses, or technology evaluations.
  • Supports reproducible research workflows with defined phases: scope, discovery, evaluation, synthesis, and reporting.

Quick Start

Provide a topic and research question to start, then generate a structured, multi-source report with citations using parallel sub-agents.

Frequently Asked Questions about deep-research

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

FAQPage Schema
How do I automate multi-source research and generate a structured report with citations?▼

Multi-source research is automated by decomposing topics into focus areas, coordinating parallel subagents for discovery, evaluating sources, and synthesizing findings into a citation-rich structured report.

What is the best way to conduct literature reviews or market analyses with parallel source discovery?▼

Literature reviews and market analyses are produced by defining a research scope, deploying parallel subagents to gather diverse perspectives, and synthesizing the evaluated findings into a cohesive, cited report.

How does source evaluation work in a reproducible research workflow?▼

Source evaluation in a reproducible research workflow works by assessing gathered perspectives during the evaluation phase before synthesis, ensuring only credible sources inform the final structured report.

Can I use this for complex topics requiring topic scoping and parallel subagent coordination?▼

Complex topics are supported by a defined workflow that includes topic scoping, parallel subagent research, source evaluation, synthesis, and formal report writing to ensure comprehensive investigation.

What do I need to start generating a cited report for a specific research question?▼

To start generating a cited report, you need to provide a topic and a research question, which triggers the workflow to scope, discover, evaluate, and synthesize findings into a structured document.

When should I avoid using an automated research workflow for synthesis and reporting?▼

Automated research workflows should be avoided when a topic lacks sufficient diverse sources for parallel discovery or when manual expert synthesis is required for highly subjective or sensitive evaluations.

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