bmad-technical-research

Conduct technical research with live web search and produce cited Markdown reports.

Updated Apr 10, 2026
One-click install
npx skills add https://github.com/ImaginerLabs/skill-manager --skill bmad-technical-research-imaginerlabs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bmad-technical-research
Source: https://github.com/ImaginerLabs/skill-manager/tree/main/.trae/skills/bmad-technical-research
Command: npx skills add https://github.com/ImaginerLabs/skill-manager --skill bmad-technical-research-imaginerlabs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill streamlines the creation of rigorous technical research documents by guiding a structured, verifiable workflow for evaluating technologies, architectures, and implementation approaches so teams can make informed technical decisions faster.

Core Features & Use Cases

  • Structured Research Workflow: A six-step, stepwise process (scope confirmation, technology stack, integration patterns, architectural patterns, implementation research, synthesis) that produces a single coherent Markdown research artifact.
  • Web-backed Verification: Explicit requirement for live web search and multi-source verification to ensure claims are current and cited.
  • Document Automation & Tracking: Creates templated research files, updates frontmatter (stepsCompleted, metadata), and appends findings to an output research document for reproducible reports.
  • Use Cases: Technology selection (e.g., REST vs GraphQL), architecture trade-off analysis, migration planning, implementation roadmaps, and executive technical summaries.

Quick Start

Start a technical research on "GraphQL vs REST for large-scale microservices" to compare architectures, performance, and migration strategies.

Frequently Asked Questions about bmad-technical-research

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

FAQPage Schema
How do I research and compare technology stacks for system architecture decisions?

To research technology stacks for system architecture, this Skill applies a six-step workflow covering scope confirmation, stack evaluation, integration patterns, and architectural patterns to produce a fully cited Markdown research report. It requires live web search for multi-source verification.

What is the best way to plan a migration strategy for large-scale microservices?

Planning a migration strategy for large-scale microservices requires synthesizing architecture trade-offs and implementation roadmaps. This Skill generates an authoritative research document by verifying live web sources and compiling findings into a structured Markdown artifact.

How does multi-source verification work in technical research reports?

Multi-source verification in technical research reports works by requiring live web searches to cross-reference claims during the stepwise document generation process. This ensures all technology evaluation and architecture comparison findings are current and properly cited.

Can I use this for implementation planning and integration pattern analysis?

Yes, you can use this for implementation planning and integration pattern analysis as the workflow explicitly covers integration patterns, implementation research, and synthesis. It outputs a structured Markdown research artifact with updated frontmatter tracking completed steps.

Do I need live web search to generate architecture comparison documents?

Yes, live web search is an explicit requirement to generate architecture comparison documents, ensuring that technology evaluation claims are current and multi-source verified before being appended to the final research artifact.