bmad-technical-research

Conduct web-verified technical research and produce citation-backed markdown reports.

Updated Mar 25, 2026
One-click install
npx skills add https://github.com/JingyiWng/databricks_ai_dev_kit_price_watcher --skill bmad-technical-research-jingyiwng
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bmad-technical-research
Source: https://github.com/JingyiWng/databricks_ai_dev_kit_price_watcher/tree/main/_bmad/bmm/workflows/1-analysis/research/bmad-technical-research
Command: npx skills add https://github.com/JingyiWng/databricks_ai_dev_kit_price_watcher --skill bmad-technical-research-jingyiwng

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill removes the manual burden of gathering, verifying, and synthesizing up-to-date technical information by guiding a stepwise, web-verified research workflow that produces complete, citation-backed technical reports.

Core Features & Use Cases

  • Stepwise Research Workflow: Enforces scope confirmation, iterative steps, and frontmatter tracking to produce reproducible research documents.
  • Web-verified Findings: Requires live web search and multi-source verification to ensure current and supported technical claims.
  • Template-driven Output: Creates and appends to a research markdown file using templates and structured sections (architecture, integration, implementation, synthesis).
  • Use Case: Engineering teams evaluating architecture options (e.g., GraphQL vs REST), producing implementation roadmaps, or producing technical due-diligence reports.

Quick Start

Ask the assistant to "create a technical research report on GraphQL vs REST for microservices focused on architecture, integration, 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 generate a citation-backed technical research report for architecture analysis?

To generate a citation-backed technical research report, use a stepwise research workflow that enforces scope confirmation, performs live web search verification, and assembles structured markdown sections for architecture, integration, and implementation synthesis.

What's the best way to evaluate a technology stack for migration roadmaps and integration patterns?

Evaluating a technology stack for migration roadmaps requires multi-source web verification of current technical claims, iterative scope confirmation, and template-driven document assembly to produce reproducible implementation recommendations.

Can I use this technical research workflow to compare architecture options like GraphQL vs REST for microservices?

Yes, the technical research workflow supports comparing architecture options like GraphQL vs REST by enforcing live web search verification and stepwise document assembly to produce source-cited integration patterns and migration strategies.

Does this architecture analysis tool require manual web search verification for technical due-diligence reports?

No manual verification is needed; the architecture analysis workflow requires live web search and multi-source verification automatically to ensure technical due-diligence reports contain current, supported, and citation-backed claims.

How to ensure technical research findings are reproducible when producing implementation roadmaps?

To ensure technical research findings are reproducible when producing implementation roadmaps, the workflow applies iterative scope confirmation, frontmatter tracking, and template-driven markdown assembly for source-cited outcomes.