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Bmad Technical Research

  • 16 installs
  • 14 repo stars
  • Updated July 9, 2026
  • bmad-labs/skills

bmad-technical-research is a Claude skill that conducts technical research on technologies and architecture and produces a cited research document.

About

bmad-technical-research is a BMAD workflow skill that conducts technical research on technologies and architecture using current web data and verified sources. It clarifies the topic, core technology, goals, and scope, then routes through technical research steps to produce a complete research document with a narrative and proper citations. It requires web search and aborts if that is unavailable. A developer uses it to compare options like frameworks or API architectures before committing to a technical direction.

  • Conducts technical research on technologies and architecture using current web data
  • Produces a research document with narrative and proper citations
  • Requires web search and aborts if it is unavailable

Bmad Technical Research by the numbers

  • 16 all-time installs (skills.sh)
  • Ranked #1,053 of 1,879 Documentation skills by installs in the Skillselion catalog
  • Data as of Jul 29, 2026 (Skillselion catalog sync)
At a glance

bmad-technical-research capabilities & compatibility

Capabilities
prd validation · documentation
Use cases
research · web search · documentation
From the docs

What bmad-technical-research says it does

Conduct technical research on technologies and architecture. Use when the user says they would like to do or produce a technical research report
SKILL.md
Conduct comprehensive technical research using current web data and verified sources to produce complete research documents with compelling narratives and proper citations.
SKILL.md
**⛔ Web search required.** If unavailable, abort and tell the user.
SKILL.md
npx skills add https://github.com/bmad-labs/skills --skill bmad-technical-research

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Listed on Skillselion
Installs16
repo stars14
Last updatedJuly 9, 2026
Repositorybmad-labs/skills

What it does

Produce a cited technical research report comparing technologies or architectures using current web data.

Who is it for?

Developers evaluating technologies or architectures who want a cited research report.

Skip if: Environments without web search, where the skill aborts.

When should I use this skill?

the user wants to produce a technical research report

What you get

A complete technical research document with a narrative and proper citations.

  • technical research document with citations

Files

SKILL.mdMarkdownGitHub ↗

Technical Research Workflow

Goal: Conduct comprehensive technical research using current web data and verified sources to produce complete research documents with compelling narratives and proper citations.

Your Role: You are a technical research facilitator working with an expert partner. This is a collaboration where you bring research methodology and web search capabilities, while your partner brings domain knowledge and research direction.

Conventions

  • Bare paths (e.g. technical-steps/step-01-init.md) resolve from the skill root.
  • {skill-root} resolves to this skill's installed directory (where customize.toml lives).
  • {project-root}-prefixed paths resolve from the project working directory.
  • {skill-name} resolves to the skill directory's basename.

PREREQUISITE

⛔ Web search required. If unavailable, abort and tell the user.

On Activation

Step 1: Resolve the Workflow Block

Run: python3 {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --key workflow

If the script fails, resolve the workflow block yourself by reading these three files in base → team → user order and applying the same structural merge rules as the resolver:

1. {skill-root}/customize.toml — defaults 2. {project-root}/_bmad/custom/{skill-name}.toml — team overrides 3. {project-root}/_bmad/custom/{skill-name}.user.toml — personal overrides

Any missing file is skipped. Scalars override, tables deep-merge, arrays of tables keyed by code or id replace matching entries and append new entries, and all other arrays append.

Step 2: Execute Prepend Steps

Execute each entry in {workflow.activation_steps_prepend} in order before proceeding.

Step 3: Load Persistent Facts

Treat every entry in {workflow.persistent_facts} as foundational context you carry for the rest of the workflow run. Entries prefixed file: are paths or globs under {project-root} — load the referenced contents as facts. All other entries are facts verbatim.

Step 4: Load Config

Load config from {project-root}/_bmad/bmm/config.yaml and resolve:

  • Use {user_name} for greeting
  • Use {communication_language} for all communications
  • Use {document_output_language} for output documents
  • Use {planning_artifacts} for output location and artifact scanning
  • Use {project_knowledge} for additional context scanning

Step 5: Greet the User

Greet {user_name}, speaking in {communication_language}.

Step 6: Execute Append Steps

Execute each entry in {workflow.activation_steps_append} in order.

Activation is complete. Begin the workflow below.

QUICK TOPIC DISCOVERY

"Welcome {{user_name}}! Let's get started with your technical research.

What technology, tool, or technical area do you want to research?

For example:

  • 'React vs Vue for large-scale applications'
  • 'GraphQL vs REST API architectures'
  • 'Serverless deployment options for Node.js'
  • 'Or any other technical topic you have in mind...'"

Topic Clarification

Based on the user's topic, briefly clarify: 1. Core Technology: "What specific aspect of [technology] are you most interested in?" 2. Research Goals: "What do you hope to achieve with this research?" 3. Scope: "Should we focus broadly or dive deep into specific aspects?"

ROUTE TO TECHNICAL RESEARCH STEPS

After gathering the topic and goals:

1. Set research_type = "technical" 2. Set research_topic = [discovered topic from discussion] 3. Set research_goals = [discovered goals from discussion] 4. Derive research_topic_slug from {{research_topic}}: lowercase, trim, replace whitespace with -, strip path separators (/, \), .., and any character that is not alphanumeric, -, or _. Collapse repeated - and strip leading/trailing -. If the result is empty, use untitled. 5. Create the starter output file: {planning_artifacts}/research/technical-{{research_topic_slug}}-research-{{date}}.md with exact copy of the ./research.template.md contents 6. Load: ./technical-steps/step-01-init.md with topic context

Note: The discovered topic from the discussion should be passed to the initialization step, so it doesn't need to ask "What do you want to research?" again - it can focus on refining the scope for technical research.

✅ YOU MUST ALWAYS SPEAK OUTPUT In your Agent communication style with the config `{communication_language}`

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