bmad-technical-research

Conducts web-verified technical research and generates cited research reports on technologies and architectures.

Updated Aug 3, 2026
One-click install
npx skills add https://github.com/shaahy/quicknav-desktop --skill bmad-technical-research-shaahy
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: bmad-technical-research
Source: https://github.com/shaahy/quicknav-desktop/tree/main/A%20%E6%95%99%E7%A8%8B%E9%9B%86%E5%90%88/BMAD-METHOD%E6%8A%80%E8%83%BD%E9%80%9F%E6%9F%A5/source-v6.10.0/src/bmm-skills/1-analysis/research/bmad-technical-research
Command: npx skills add https://github.com/shaahy/quicknav-desktop --skill bmad-technical-research-shaahy

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Producing a trustworthy technical research report requires gathering current web data, verifying sources, and structuring findings across architecture, integration, and implementation topics, which is slow and error-prone when done manually. ## Core Features & Use Cases - Guided Six-Step Workflow: Walks through scope confirmation, technology stack analysis, integration patterns, architectural patterns, implementation research, and final synthesis with user confirmation at each stage. - Web-Verified Citations: Requires live web search for every claim, applies multi-source validation and confidence levels, and cites URLs throughout the report. - Structured Report Generation: Produces a complete Markdown research document with executive summary, table of contents, recommendations, and source documentation saved to the planning artifacts folder. - Use Case: Ask for a technical research report on "GraphQL vs REST API architectures" and receive a step-by-step collaborative research session ending in a fully cited Markdown document. ## Quick Start Ask the agent to conduct a technical research report on a technology topic such as serverless deployment options for Node.js.

Frequently Asked Questions about bmad-technical-research

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

FAQPage Schema
How do I create a technical research report with AI?▼

Start the workflow by stating your research topic and goals. The skill guides you through scope confirmation, technology stack analysis, integration and architectural patterns, implementation research, and a final synthesis, producing a cited Markdown report.

What topics can this technical research workflow cover?▼

It covers programming languages, frameworks, databases, cloud platforms, API design, communication protocols, microservices integration, architectural patterns, scalability, security, and implementation practices for any technology domain you specify.

Does the technical research workflow require web search?▼

Yes, web search is a hard prerequisite. The workflow aborts if web search is unavailable, because every factual claim must be verified against current live sources rather than relying on training data.

How are sources cited in the generated research report?▼

Each section includes source URLs from web searches, applies multi-source validation for critical claims, and assigns confidence levels to uncertain information. The final document includes a methodology section documenting all sources and search queries.

Can I customize the research workflow behavior?▼

Yes, the customize.toml file supports activation steps, persistent facts loaded from project files, and an on_complete hook. Team and user-level TOML overrides merge with the defaults using structural merge rules.

What are the limitations of this research workflow?▼

It depends entirely on web search quality and availability, requires user confirmation at each of the six steps so it cannot run fully unattended, and needs the BMAD project configuration files to resolve output paths and language settings.