BMAD-METHOD/web-bundles
Brian Madison 63c3802189 feat(web-bundles): bring back V4 web bundles for V6
Restores the V4 web bundle pattern for V6. BMad planning skills are
repackaged as one-click installs for Google Gemini Gems and ChatGPT
Custom GPTs, so users can run analysis and planning conversations in
flat-rate web LLM subscriptions instead of metered IDE tokens.

Current shelf (6 bundles): brainstorming, product brief, PRFAQ, PRD,
UX, market and industry research. Each bundle ships a SKILL.md
protocol, an INSTRUCTIONS.md with a default persona and a contrasting
swap example, and any required data files.

New in this commit:

- Market & Industry Research bundle merging market and domain research
  with Porter and Christensen anchors, Mary persona inherited from the
  BMad analyst agent, Geoffrey Moore swap example, Deep Research mode
  integrated as the default research path
- web-bundles/README.md folder index listing all 6 bundles
- README.md section announcing the V6 web bundle shelf
- docs/explanation/web-bundles.md concept page (what, why, when)
- docs/how-to/use-web-bundles.md install steps for Gemini Gems and
  ChatGPT Custom GPTs
2026-05-25 00:57:48 -05:00
..
brainstorming-coach feat(web-bundles): bring back V4 web bundles for V6 2026-05-25 00:57:48 -05:00
market-and-industry-research feat(web-bundles): bring back V4 web bundles for V6 2026-05-25 00:57:48 -05:00
prd-coach feat(web-bundles): bring back V4 web bundles for V6 2026-05-25 00:57:48 -05:00
prfaq-coach feat(web-bundles): bring back V4 web bundles for V6 2026-05-25 00:57:48 -05:00
product-brief-coach feat(web-bundles): bring back V4 web bundles for V6 2026-05-25 00:57:48 -05:00
ux-coach feat(web-bundles): bring back V4 web bundles for V6 2026-05-25 00:57:48 -05:00
README.md feat(web-bundles): bring back V4 web bundles for V6 2026-05-25 00:57:48 -05:00

README.md

BMad Web Bundles

V4 shipped web bundles. V6 brings them back, new and improved. Each bundle packages a BMad skill as a self-contained install for Google Gemini Gems and ChatGPT Custom GPTs, so you can run the planning work in your web LLM subscription before opening your IDE.

Why use these

  • Cost. Web LLM subscriptions are flat-rate. Run brainstorming, briefs, PRDs, and research there instead of burning IDE tokens.
  • Right tool for the job. Planning conversations want Canvas, image generation, and Deep Research. Implementation wants the codebase and a terminal. Use each where it's strongest.
  • Persona swapping. Every bundle's INSTRUCTIONS.md carries a default persona and a contrasting swap example. Change voices without touching the protocol.

The shelf

Bundle Purpose
brainstorming-coach/ Facilitated ideation across 60 techniques. Defaults to Carson (Osborn lineage); swap to Mary for analyst rigor.
product-brief-coach/ Build a one-page product brief through guided discovery.
prfaq-coach/ Working Backwards PRFAQ challenge (Bezos lineage) to forge and stress-test product concepts.
prd-coach/ Product Requirements Document with built-in validation (Cagan lineage).
ux-coach/ UX patterns, flows, and design specifications.
market-and-industry-research/ Market research, customer JTBD, competitive landscape, regulatory and technical lenses. Deep Research mode integrated.

Install

Each bundle has its own INSTRUCTIONS.md with platform-specific setup steps. Pattern is the same:

  1. Create a Gem (Gemini) or Custom GPT (ChatGPT).
  2. Upload the bundle's SKILL.md (and any data files) as knowledge.
  3. Paste the block below the PASTE BOUNDARY into the instructions box.
  4. Enable Web Browsing / Deep Research if the bundle's install steps call for it.

Gemini Gems require Gemini Advanced. ChatGPT Custom GPTs require Plus, Pro, Business, or Enterprise; Deep Research has its own plan limits.

Build your own

Web bundles are generated from BMad skills using the bmad-os-skill-to-bundle utility skill. Point it at any BMad skill folder and it produces a SKILL.md, an INSTRUCTIONS.md, and any required data files, with persona inheritance from the owning agent.

Docs