bmad-deep-recon

Technical due diligence requires evidence-based research to verify competing software stacks. This skill enforces structured research types and two-source verification, producing cited artifacts that ensure your technical decisions are backed by verified data rather than assumptions.

Yes, you can process existing reports into decision-grade summaries. The skill supports multiple modes, allowing you to ingest current market research documents and synthesize them into actionable, verified insights tied directly to your specific business decisions.

Evidence-based research prevents AI hallucinations by implementing a research firewall and strict two-source verification. This epistemic rigor ensures every claim is verified and every conclusion is backed by specific evidence, maintaining accuracy for high-stakes choices.

Yes, you need uv installed as a dependency to run this skill. It facilitates the automated web-based research workflow, source verification, and staleness tracking required to generate accurate, decision-grade market research artifacts.

The best way to maintain research accuracy is through automated staleness tracking. This skill implements strict epistemic rules and continuous verification to ensure your technical and competitive analysis remains actionable and accurate over time.

Avoid automated research tools when you lack access to external data sources or need real-time proprietary data. This skill relies on web-based research and existing reports, requiring verifiable sources to produce cited, decision-grade artifacts.