bmad-domain-research
Facilitates structured industry research by synthesizing web data into cohesive documents.
Install
mkdir -p .claude/skills/bmad-domain-research && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/10029" && unzip -o skill.zip -d .claude/skills/bmad-domain-research && rm skill.zipInstalls to .claude/skills/bmad-domain-research
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Conduct domain and industry research. Use when the user says wants to do domain research for a topic or industryKey capabilities
- →Conduct domain and industry research
- →Automate web data gathering
- →Structure research findings into documents
- →Apply research methodology to technical domains
How it works
The skill uses a structured workflow to resolve configuration, execute research steps, and compile findings into a markdown document based on user-defined goals.
Inputs & outputs
When to use bmad-domain-research
- →Perform market research for new projects
- →Analyze industry trends
- →Gather context for technical domains
- →Produce research documents with citations
About this skill
DEPRECATED — forwards to bmad-deep-recon (domain type)
This skill was consolidated into bmad-deep-recon. It is retained as a thin compatibility shim so existing invocations by name and _bmad/custom/bmad-domain-research.toml override files keep working. New work should invoke bmad-deep-recon directly — it drafts deep-research prompts for outside tools, processes finished reports into downstream-ready summaries, and runs research directly, across market, domain, technical, competitive, user-voice, and academic-lit types (plus a select shape for choose-between decisions and custom types).
On Activation
- Resolve customization:
uv run {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --project-root {project-root} --key workflow. This picks up any{project-root}/_bmad/custom/bmad-domain-research.tomlandbmad-domain-research.user.tomloverrides for the legacy fields (activation_steps_prepend,activation_steps_append,persistent_facts,on_complete). - Emit a deprecation notice to the user (in their configured communication language):
bmad-domain-researchis deprecated and forwards tobmad-deep-reconwith the domain type. To silence this notice and access the full new surface (draft/process/run modes, research types, verification levels, HTML briefing, handoffs), migrate_bmad/custom/bmad-domain-research.tomlto_bmad/custom/bmad-deep-recon.tomland invokebmad-deep-recondirectly. - Invoke
bmad-deep-reconwith: research typedomain(skip its type inference), the four legacy fields above as pre-resolved values, and the user's original input verbatim.bmad-deep-recontakes the workflow from here — do not execute any further steps in this shim.
When not to use it
- →When web search is unavailable
Prerequisites
Limitations
- →Requires active web search to function
How it compares
It provides a repeatable, file-based research framework that enforces documentation standards rather than performing ad-hoc web searches.
Compared to similar skills
bmad-domain-research side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| bmad-domain-research (this skill) | 0 | 2mo | No flags | Beginner |
| linkedin-sales-navigator-alt | 23 | 3mo | No flags | Intermediate |
| market-research-reports | 38 | 9mo | Review | Advanced |
| annas-archive-ebooks | 22 | 8mo | Review | Beginner |
Try saying
Example prompts that trigger this skill in your AI assistant.
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