bmad-deep-recon

Drafts, runs, and processes decision-grade research reports with cited summaries.

Updated Jul 2, 2026
One-click install
npx skills add https://github.com/tuanpa-nhg-eng/nhg-ipms --skill bmad-deep-recon-tuanpa-nhg-eng
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bmad-deep-recon
Source: https://github.com/tuanpa-nhg-eng/nhg-ipms/tree/main/.claude/skills/bmad-deep-recon
Command: npx skills add https://github.com/tuanpa-nhg-eng/nhg-ipms --skill bmad-deep-recon-tuanpa-nhg-eng

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve? Turning open questions — market entry, technology selection, competitor teardowns, literature reviews — into trustworthy, cited research artifacts is slow and error-prone. This Skill structures the entire research lifecycle so every claim carries a source, freshness is tracked, and downstream planning documents consume the results without reprocessing. ## Core Features & Use Cases - Three research modes: Draft a deep-research prompt for external tools (ChatGPT, Gemini, Perplexity), Process a finished report into a distilled cited summary, or Run native research through parallel web fan-out with verification. - Six shipped research type packs: market, domain, technical, competitive, user-voice, and academic literature, each with prioritized dimensions, source craft, freshness bars, and two-source claim classes, plus a select shape for choose-between decisions. - Deterministic tooling: a Python helper script handles citation cross-checks, claim ledger tallies, staleness computation, run-folder slugs, and safe HTML source-table escaping. - Use Case: Ask it to research whether to enter a new market; it holds a plan gate, fans out researcher subagents behind a research firewall, verifies load-bearing claims, and delivers research.md with an executive summary, source appendix, and staleness map. ## Quick Start Ask the assistant to run deep recon on a topic, for example: research the competitive landscape for my product idea and produce a cited decision-ready report.

Frequently Asked Questions about bmad-deep-recon

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

FAQPage Schema
How do I run deep research on a market or technology topic?

Invoke the skill with your topic and decision, then choose Run for native web research, Draft to get a prompt for an external tool like ChatGPT or Perplexity, or Process to distill an existing report. Run mode holds a plan gate before fanning out researcher subagents.

What research types does this skill support?

It ships six type packs: market, domain, technical, competitive, user-voice, and academic literature. Each pack defines prioritized dimensions, source craft, freshness windows, and two-source claim classes, and custom types can be added through override TOML files.

Can it process a research report I already have?

Yes. Process mode files the original report into a run folder's imports directory, extracts claims into digest files with provenance, checks coverage against the type pack, and distills a cited research.md summary that downstream skills consume without reprocessing.

How does it verify research claims and sources?

Verification runs as material lands, at normal, high, or max levels. Load-bearing claims get independent-source checks, two-source classes are cross-checked, and an optional red-team pass hunts disconfirming evidence. Claim statuses are tracked in an append-only memlog ledger.

Does it work without web access or subagents?

Without web access it offers Draft and Process modes instead of fabricating research. Without subagent support, Run mode executes rounds sequentially inline under the same budgets, digest files, and verification discipline.

How do I refresh outdated research findings?

The Refresh intent computes staleness mechanically from the claims ledger and each pack's freshness windows, re-verifies only stale claims, and appends a delta report. Deepen drills into a single dimension without touching the rest of the report.