deep-research

Coordinate four research waves with three parallel agents to produce a final report.

Updated Apr 23, 2026
One-click install
npx skills add https://github.com/Ayub-Khan/immortal_agent_swarm --skill deep-research-ayub-khan
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/Ayub-Khan/immortal_agent_swarm/tree/main/.agents/skills/deep-research
Command: npx skills add https://github.com/Ayub-Khan/immortal_agent_swarm --skill deep-research-ayub-khan

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Deep research workflows enable teams to systematically investigate technologies, architectural patterns, and codebases to generate evidence-based recommendations and documented findings, reducing risk in technology decisions.

Core Features & Use Cases

  • Four-wave research with exactly three agents per wave, with wave gating and synthesized outputs.
  • Emphasis on primary sources, reproducible evidence, and explicit resolution of conflicting findings.
  • Deliverables include wave artifacts (e.g., wave_01_exploration.md, wave_04_synthesis.md) and a final_report.md for decision-making.

Quick Start

Initiate a four-wave deep research workflow with three parallel agents per wave to produce a final synthesized report.

Frequently Asked Questions about deep-research

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

FAQPage Schema
What is evidence-based technology research and how does a wave-based workflow work?

Evidence-based technology research systematically investigates codebases and architectural patterns to generate documented findings. A wave-based workflow coordinates three parallel agents per wave, enforcing strict wave gating and synthesizing outputs before advancing to the next phase.

How do I conduct deep research for architectural analysis and tool selection?

To conduct deep research for architectural analysis, initiate a four-wave workflow with three parallel agents per wave. This process evaluates tool suitability and platform decisions, enforcing evidence-first synthesis and explicit contradiction resolution to produce a final report.

Can I use deep research for competitive analysis and complex codebase investigation?

Yes, you can use deep research for competitive analysis and complex codebase investigation. The workflow applies strict wave gating across decision domains, ensuring primary sources and reproducible evidence inform the final synthesized recommendations.

What is the best way to resolve conflicting findings during project research?

The best way to resolve conflicting findings during project research is through explicit contradiction resolution. The workflow enforces evidence-first synthesis during wave gating, requiring three parallel agents to reconcile differences before generating the final report.

What artifacts does the four-wave research process generate for decision support?

The four-wave research process generates per-wave artifacts like wave_01_exploration.md and wave_04_synthesis.md, culminating in a final_report.md. These deliverables document evidence-based findings to support technology decisions and reduce risk.

When should I not use a multi-agent wave-gated approach for technology evaluation?

You should avoid a multi-agent wave-gated approach for technology evaluation when rapid, lightweight assessments are needed. The strict wave gating and three-agent-per-wave requirement add overhead designed for rigorous, deep codebase investigation rather than quick checks.