deep-research

Conduct multi-round research across sources with evidence tracking and synthesis.

27|1|Updated Jan 26, 2026
One-click install
npx skills add https://github.com/hua-bang/pulse-agent --skill deep-research-hua-bang
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/hua-bang/pulse-agent/tree/main/.pulse-coder/skills/deep-research
Command: npx skills add https://github.com/hua-bang/pulse-agent --skill deep-research-hua-bang

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the challenge of conducting thorough, high-quality research with clear evidence tracking and source synthesis.

Core Features & Use Cases

  • Multi-Round Research: Iteratively search, extract, and validate information over multiple rounds.
  • Evidence Tracking: Closely monitor source credibility, recency, and bias.
  • Source Synthesis: Combine findings from various sources to form a cohesive conclusion.
  • Use Case: Ideal for complex projects requiring in-depth understanding, such as competitive analysis or technical reviews.

Quick Start

To initiate a deep research project on "AI trends in 2023", use the 'deep-research' skill with the goal of understanding the latest advancements and challenges in the field.

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-round research with source synthesis for competitive analysis?

Multi-round research for competitive analysis iteratively searches, extracts, and validates information across sources to synthesize evidence-backed conclusions. It tracks source credibility and bias while combining findings to form a cohesive strategic overview.

What is evidence tracking in in-depth research and when do I need it?

Evidence tracking in in-depth research monitors source credibility, recency, and bias throughout the analysis process. You need it for complex projects like technical reviews or strategic planning where validating information lineage is critical for accurate conclusions.

Can I use this approach for technical reviews requiring multi-round analysis?

Yes, this approach supports technical reviews by performing multi-round analysis to extract and validate technical information. It synthesizes findings from various sources, ensuring your technical evaluations are backed by tracked, credible evidence.

What's the best way to synthesize findings from various sources into a cohesive conclusion?

The best way to synthesize findings is to iteratively extract data over multiple research rounds while monitoring source credibility. Combining validated information from various sources forms a cohesive, evidence-backed conclusion for your research project.

Does evidence tracking work for strategic planning tasks that need source credibility checks?

Evidence tracking works effectively for strategic planning by closely monitoring source credibility, recency, and bias. It ensures that the information synthesized across multiple rounds of research maintains high quality for strategic decision-making.