research

Conduct multi-phase web research and synthesize well-sourced reports.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/danzakon/dan-life --skill research-danzakon
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research
Source: https://github.com/danzakon/dan-life/tree/main/skills/research
Command: npx skills add https://github.com/danzakon/dan-life --skill research-danzakon

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill tackles the challenge of conducting thorough, insightful research on any topic, transforming raw information into well-sourced, opinionated reports.

Core Features & Use Cases

  • Comprehensive Research: Surveys topics broadly, identifies key players, and flags underexplored areas.
  • Angle Identification: Generates multiple research angles for deep dives.
  • Sub-agent Execution: Leverages sub-agents for parallel research on specific angles.
  • Opinionated Synthesis: Produces critical, evidence-based, and predictive reports.
  • Use Case: When asked to investigate the future of AI in healthcare, this Skill will survey the landscape, identify key research questions, delegate sub-tasks to specialized agents, and produce a final report with actionable predictions and critical analysis.

Quick Start

Use the research skill to investigate the impact of quantum computing on cybersecurity.

Frequently Asked Questions about research

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

FAQPage Schema
How do I generate an opinionated research report with critical analysis and forecasting?

To generate an opinionated research report, this Skill surveys a topic broadly, identifies key research angles, and uses parallel sub-agents for deep dives before synthesizing evidence-based findings into a structured document with actionable predictions.

What is the best way to investigate underexplored areas in a complex topic?

Investigating underexplored areas involves conducting preliminary web surveys to map the landscape, flagging gaps in existing information, and delegating targeted deep-dive investigations to specialized sub-agents for comprehensive coverage.

How does parallel sub-agent execution work for deep-dive investigations?

Parallel sub-agent execution works by identifying multiple distinct research angles from a preliminary survey, then dispatching specialized agents simultaneously to investigate each angle in depth before synthesizing their findings into a single cohesive report.

Can I use this research approach for predictive forecasting and synthesis?

Yes, you can use this approach for predictive forecasting. The synthesis phase evaluates collected evidence critically to produce actionable predictions, moving beyond simple summarization to deliver opinionated, forward-looking analysis on the specified topic.

Does this investigation method provide source citations in the final report?

Yes, the investigation method follows specific protocols for source citation. The final synthesized report integrates well-sourced references throughout, ensuring that the critical analysis and predictive forecasting are grounded in verifiable evidence.

When should I not use an automated sub-agent approach for research reporting?

You should avoid automated sub-agent research reporting when a topic requires single-author narrative continuity, when preliminary web surveys lack sufficient sources, or when strict citation protocols cannot be enforced through pipeline integration.