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marcmontecalvo
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bmad-technical-research

Executes a structured workflow for verified technical research and architectural synthesis with citations.

Updated Jul 11, 2026
Search Tags:#architecture#documentation#research#analysis#synthesis#technical
One-click install
npx skills add https://github.com/marcmontecalvo/kinward --skill bmad-technical-research-marcmontecalvo
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: bmad-technical-research
Source: https://github.com/marcmontecalvo/kinward/tree/main/.agents/skills/bmad-technical-research
Command: npx skills add https://github.com/marcmontecalvo/kinward --skill bmad-technical-research-marcmontecalvo

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill solves the challenge of conducting thorough, verified technical research by automating the workflow of gathering, synthesizing, and documenting complex technical information.

Core Features & Use Cases

  • Structured Research Workflow: Guides the user through six distinct phases, from scope confirmation to final synthesis.
  • Verified Data Gathering: Enforces web search and source verification to ensure technical claims are backed by current, reliable data.
  • Use Case: Use this skill to produce a comprehensive research report comparing different cloud-native architectural patterns for a large-scale distributed system, complete with citations and implementation recommendations.

Quick Start

Ask the agent to conduct a technical research report on the architecture and implementation trade-offs of using GraphQL versus REST for a microservices-based application.

Frequently Asked Questions about bmad-technical-research

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

FAQPage Schema
How do I conduct technical research with verified web sources for an architecture report?▼

Technical research with verified web sources requires a multi-step workflow spanning scope definition, technology stack analysis, and architectural synthesis. This approach enforces web search verification and rigorous source citation to produce structured documentation with expert-level technical narratives.

What is the best way to analyze architectural trade-offs for complex engineering domains?▼

Analyzing architectural trade-offs for complex engineering domains involves executing a structured research workflow that targets verified web-based data. It results in comprehensive reports detailing implementation roadmaps, architectural synthesis, and expert-level technical narrative generation.

How do I structure a technical research workflow to compare distributed system technologies?▼

Structuring a technical research workflow to compare distributed system technologies involves guiding through six distinct phases. It progresses from initial scope confirmation to final synthesis, ensuring all technical claims regarding cloud-native patterns or microservices are backed by current, reliable data.

Can I use automated research synthesis to generate implementation roadmaps with citations?▼

Automated research synthesis can generate implementation roadmaps with citations by automating the workflow of gathering, synthesizing, and documenting complex technical information. It targets complex engineering domains and enforces requirements for rigorous source citation and structured documentation.

Does this technical research approach work for comparing API protocols like GraphQL versus REST?▼

This technical research approach works for comparing API protocols like GraphQL versus REST by executing scope definition and technology stack analysis. It produces a comprehensive research report complete with citations and implementation recommendations for microservices-based applications.

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