242dc6ef75
* Rework solutioning architecture skill into bmad-architecture (spine) - Rename canonical skill bmad-tech-plan -> bmad-architecture; output is ARCHITECTURE-SPINE.md - Convert bmad-create-architecture to a deprecated husk forwarding to bmad-architecture (create intent); strip steps/data/template - Finalize: spine is the default, then offers fuller renderings + a self-contained HTML view; doc_standards polish applies to prose docs only - Reviewer Gate: add adversarial divergence-hunter, on by default at high/regulated/cross-team stakes - Fix references in module-help.csv, bmad-prd, bmad-ux, bmad-agent-architect; reword help entry for when-to-offer - bmad-spec: flag recognized-but-unaddressed domain implications as open_questions * bmad-architecture: extract Finalize/reviewer-menu to references, add grade_spine script - Move the Finalize sequence out of SKILL.md into references/finalize.md - Make references/validate.md own the canonical reviewer menu and prompts - Add scripts/grade_spine.py (+ tests) so validation grade is computed deterministically instead of derived by hand - Tighten SKILL.md spine/memlog framing * bmad-architecture: outcome-driven rewrite + spawned reviewer gate Re-express SKILL.md as goals/outcomes rather than procedure: intent is read from the input (raw idea, large doc, codebase, feature slice, existing spine) instead of a Create/Update/Validate x mode matrix. Restore the counter-default coaching invariants that over-compression had stripped — Guided is the default, load-bearing calls are shown with alternatives and the user chooses, recommend a known starter when the stack is open, investigate brownfield before deciding. Adopt the bmad-prd/product-brief shape: a dedicated Reviewer Gate that always spawns finalize_reviewers as parallel subagents against the spine (lint floor first; ad-hoc lenses scaled to rigor/altitude/criticality), and a numbered Finalize that calls it. Headless runs the full gate non-interactively. Reframe the structural seed as the living source of truth for shape (code owns detail; evolve on shape change; memlog keeps history). Fix template mermaid (C4 -> flowchart, valid one-attr-per-line erDiagram). Ship two default finalize_reviewers (currency/reality check, adversarial divergence hunter). Remove grade_spine.py and the inlined discovery/inputs/validate/finalize refs. * bmad-architecture: review fixes — shared memlog, epic altitude, lint hardening Pre-PR review fixes for the new architecture-spine skill: - Adopt the shared canonical memlog (#2462); drop the vendored copy and the status-flag lifecycle in favor of `event` entries - Wire epic-altitude inheritance: parent-spine load+bind, Inherited Invariants template section, epic-scoped run folder, parent-contradiction lens; state that per-story detail is deferred to bmad-create-story - Add the Update intent; honor a forwarded-activation handoff from the deprecated bmad-create-architecture shim - Rename modes to Coaching path / Fast path (suite-consistent with prd/brief) and sequence the offer as an activation step - Fix the brownfield project-context.md default path ({output_folder} no-op) - lint_spine: line-exact frontmatter, fence-blanking (AD-in-fence + accurate line numbers), map-form key_deps, AD-0 fix; soften template-token severity; add 8 tests - Carve the Reviewer Gate to references/ to stay under the SKILL.md token budget - Template: entities-only ERD, scale-down guidance, softened seed framing; gitignore .memlog.md * bmad-architecture: address PR review (augment + coderabbit) - REF-03: use canonical "invoke the `skill` skill" language for all cross-skill references in SKILL.md (was "route to / offer / hand to / Next:") - lint_spine: scan frontmatter for unfilled template tokens / TBD (paradigm, scope, date were uncatchable in the body-only pass) - lint_spine: guard read_text() so a bad-encoding/unreadable spine returns error JSON and exit 0, honoring the documented contract - reviewer-gate: resolve the "always run" vs "may skip" ambiguity — the gate scales/skips by stakes, but finalize_reviewers always run once it does - tests: +3 (frontmatter token, frontmatter TBD, unreadable spine); use next() * bmad-architecture: align finalize-reviewers wording + headless blocked output - customize.toml: reword finalize_reviewers comment to match reviewer-gate.md — the gate is stakes-gated, but its reviewers always run once it does (coderabbit) - headless.md: state explicitly that a blocked run omits spine/memlog/companions, matching the "omit keys for artifacts not produced" contract (coderabbit) * bmad-architecture: ask deliverable purpose up front, offer presentable renderings, lead next-steps with bmad-spec |
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|---|---|---|
| .augment | ||
| .claude-plugin | ||
| .github | ||
| .husky | ||
| .vscode | ||
| docs | ||
| evals/bmm-skills/bmad-product-brief | ||
| src | ||
| test | ||
| tools | ||
| web-bundles | ||
| website | ||
| .coderabbit.yaml | ||
| .gitignore | ||
| .markdownlint-cli2.yaml | ||
| .npmignore | ||
| .npmrc | ||
| .nvmrc | ||
| .prettierignore | ||
| AGENTS.md | ||
| CHANGELOG.md | ||
| CNAME | ||
| CONTRIBUTING.md | ||
| CONTRIBUTORS.md | ||
| LICENSE | ||
| README.md | ||
| README_CN.md | ||
| README_VN.md | ||
| SECURITY.md | ||
| TRADEMARK.md | ||
| Wordmark.png | ||
| banner-bmad-method.png | ||
| bmad-modules.yaml | ||
| eslint.config.mjs | ||
| package-lock.json | ||
| package.json | ||
| prettier.config.mjs | ||
| removals.txt | ||
README.md
Build More Architect Dreams — An AI-driven agile development module for the BMad Method Module Ecosystem, the best and most comprehensive Agile AI Driven Development framework that has true scale-adaptive intelligence that adjusts from bug fixes to enterprise systems.
100% free and open source. No paywalls. No gated content. No gated Discord. We believe in empowering everyone, not just those who can pay for a gated community or courses.
Why the BMad Method?
Traditional AI tools do the thinking for you, producing average results. BMad agents and facilitated workflows act as expert collaborators who guide you through a structured process to bring out your best thinking in partnership with the AI.
- AI Intelligent Help — Invoke the
bmad-helpskill anytime for guidance on what's next - Scale-Domain-Adaptive — Automatically adjusts planning depth based on project complexity
- Structured Workflows — Grounded in agile best practices across analysis, planning, architecture, and implementation
- Specialized Agents — 12+ domain experts (PM, Architect, Developer, UX, and more)
- Party Mode — Bring multiple agent personas into one session to collaborate and discuss
- Complete Lifecycle — From brainstorming to deployment
Learn more at docs.bmad-method.org
🚀 What's Next for BMad?
V6 is here and we're just getting started! The BMad Method is evolving rapidly with optimizations including Cross Platform Agent Team and Sub Agent inclusion, Skills Architecture, BMad Builder v1, Dev Loop Automation, and so much more in the works.
📍 Check out the complete Roadmap →
Quick Start
Prerequisites: Node.js v20.12+ · Python 3.10+ · uv
npx bmad-method install
Want the newest prerelease build? Use
npx bmad-method@next install. Expect higher churn than the default install.
Follow the installer prompts, then open your AI IDE (Claude Code, Cursor, etc.) in your project folder.
Non-Interactive Installation (for CI/CD):
npx bmad-method install --directory /path/to/project --modules bmm --tools claude-code --yes
Override any module config option with --set <module>.<key>=<value> (repeatable). Run --list-options [module] to see locally-known official keys (built-in modules plus any external officials cached on this machine):
npx bmad-method install --yes \
--modules bmm --tools claude-code \
--set bmm.project_knowledge=research \
--set bmm.user_skill_level=expert
Not sure what to do? Ask
bmad-help— it tells you exactly what's next and what's optional. You can also ask questions likebmad-help I just finished the architecture, what do I do next?
Modules
BMad Method extends with official modules for specialized domains. Available during installation or anytime after.
| Module | Purpose |
|---|---|
| BMad Method (BMM) | Core framework with 34+ workflows |
| BMad Builder (BMB) | Create custom BMad agents and workflows |
| Test Architect (TEA) | Risk-based test strategy and automation |
| Game Dev Studio (BMGD) | Game development workflows (Unity, Unreal, Godot) |
| Creative Intelligence Suite (CIS) | Innovation, brainstorming, design thinking |
Web Bundles
V4 shipped web bundles. V6 brings them back, new and improved.
Web bundles package selected BMad skills for installation as Google Gemini Gems and ChatGPT Custom GPTs. Use them to do the upfront planning work (brainstorming, product briefs, PRDs, PRFAQs, UX specs, market and industry research) in your web LLM subscription, then bring the polished artifacts into your IDE for implementation. Planning runs on a flat-rate subscription instead of metered IDE tokens, which is a meaningful cost saver on longer engagements. Choose the best model available to you in Gemini or ChatGPT.
Current shelf: brainstorming, product brief, PRFAQ, PRD, UX, market & industry research.
Browse and install at bmadcode.com/web-bundles. One card per bundle, inline install steps for Gemini and ChatGPT, one-click ZIP download. See the web bundles guide for the concept.
Documentation
BMad Method Docs Site — Tutorials, guides, concepts, and reference
Quick links:
Community
- Discord — Get help, share ideas, collaborate
- YouTube — Tutorials, master class, and more
- X / Twitter
- Website
- GitHub Issues — Bug reports and feature requests
- Discussions — Community conversations
Support BMad
BMad is free for everyone and always will be. Star this repo, buy me a coffee, or email contact@bmadcode.com for corporate sponsorship.
Contributing
We welcome contributions! See CONTRIBUTING.md for guidelines.
License
MIT License — see LICENSE for details.
BMad and BMAD-METHOD are trademarks of BMad Code, LLC. See TRADEMARK.md for details.
See CONTRIBUTORS.md for contributor information.