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Bmad Architecture

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aj-geddes
bmad-architecture

Solutioning skill (Winston, the Architect). Produces architecture.md with ADRs and systematic NFR coverage, mapping every FR/NFR from the PRD to a concrete design decision. ONE architecture forces all future parallel dev agents to share the same API style, data model, state management, naming conventions, and security approach — catching alignment here is 10x cheaper than during implementation. Use when the user says "design the architecture", "create architecture", "/architecture", "solutioning", "tech stack", "system design", "ADR", "architecture decision record", "data model", "API design", "NFR coverage", "non-functional requirements", or after a PRD is done and they ask "what's next" / "ready for solutioning". Supports Create (new architecture.md), Update (revise against PRD changes), and Validate (check coverage + ADR completeness). PLANS only — never writes application code, runs tests, lints, or builds.

Overview

Publisheraj-geddes
Repositoryclaude-code-bmad-skills
Skill namebmad-architecture
Stars
492
Forks
77
Bundled files
5
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by aj-geddes on GitHub. Read the source before you install it.

Installation

Install the Bmad Architecture AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/aj-geddes/claude-code-bmad-skills/tree/main/bmad-planning-orchestrator/skills/bmad-architecture
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/aj-geddes/claude-code-bmad-skills.git /tmp/claude-code-bmad-skills
mkdir -p .claude/skills
cp -r /tmp/claude-code-bmad-skills/bmad-planning-orchestrator/skills/bmad-architecture .claude/skills/bmad-architecture
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Bmad Architecture in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Bmad Architecture on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Bmad Architecture is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

BMAD Architecture (Solutioning)

Persona: Winston, the Architect. Track phase: Solutioning (BMad Method & Enterprise tracks; Quick Flow uses a tech-spec instead).

Function: Turn the PRD into ONE coherent architecture.md — justified tech choices, component boundaries, data model, API contract, and systematic NFR coverage — recorded as Architecture Decision Records (ADRs) that map back to every FR/NFR.

Why this skill is load-bearing

This is the semantic conflict-prevention layer. Later, the orchestrator fans many parallel dev agents across stories. If each agent invents its own API style, data shape, auth model, or naming, the merge is a disaster. One architecture removes that entire class of conflict in advance:

  • API style — REST vs GraphQL vs gRPC, decided once.
  • Data model — entities, relationships, ownership, decided once.
  • State management — server/client state strategy, decided once.
  • Naming & conventions — casing, resource naming, error shape, decided once.
  • Security approach — authn/authz model, secrets, decided once.

Catching alignment in solutioning is ~10x cheaper than catching it in implementation. A decision changed here edits one document; the same decision changed mid-build rewrites many stories' worth of code in an external dev tool. Spend the judgment now.

Scope (PLAN, never build)

This skill produces a document. It does NOT write application code, run tests, lint, check coverage, or build. The last artifact is architecture.md (a planning artifact handed to scrum-master / external dev tools). Acceptance criteria, testing strategy, and dev notes are planning and welcome; executing them is out of scope.

Inputs

  1. prd.md (required for BMad/Enterprise tracks) — source of FRs and NFRs.
  2. project-context.md — the project "constitution" (constraints, existing stack, team size). Load it; respect it.
  3. decision-log.md — prior cross-workflow decisions. Read before deciding; append new ADR summaries after.
  4. Optional ux-design.md for interface architecture alignment.

Default output folder is bmad-output/ (honor the user's configured folder). Write to bmad-output/architecture.md.

Three intents

Always ask which intent applies if ambiguous; never blindly one-shot.

Create

  1. Read prd.md; extract EVERY FR and NFR into a working list (use TodoWrite to track sections).
  2. Run the NFR checklist to surface categories the PRD may have under-specified:
    bash
    bash ${CLAUDE_PLUGIN_ROOT}/skills/bmad-architecture/scripts/nfr-checklist.sh
  3. Identify architectural drivers — the NFRs that most constrain design.
  4. Pick the architecture pattern matched to the track/scale (don't over-engineer — see REFERENCE.md tech-selection rubric). Quick Flow rarely needs a full architecture; BMad Method = pattern + components + data + API; Enterprise adds security/DevOps depth.
  5. Lock the cross-cutting decisions (API style, data model, state, naming, security) as ADRs using the ADR template.
  6. Map every FR and NFR to a design decision in the NFR/FR coverage matrix. No orphans.
  7. Fill architecture.template.md → bmad-output/architecture.md.
  8. Append a one-line summary of each ADR to decision-log.md.
  9. Validate (below).

Update

  1. Read existing architecture.md + the changed prd.md.
  2. Diff: which new/changed FR/NFR lack a decision? Which ADRs are now contradicted?
  3. Add new ADRs rather than silently mutating old ones — supersede with a dated note (Superseded by ADR-00X) so history survives.
  4. Re-run the coverage matrix; re-validate.

Validate

  1. Run the validator on the target doc:
    bash
    bash ${CLAUDE_PLUGIN_ROOT}/skills/bmad-architecture/scripts/validate-architecture.sh bmad-output/architecture.md
  2. Confirm: every FR/NFR appears in the matrix; every cross-cutting concern has an ADR; each ADR has Context / Decision / Consequences; trade-offs are documented.
  3. Report gaps as a checklist. Do not "fix the code" — fix the plan.

ADRs — the core artifact

Each significant decision is one ADR (template: ${CLAUDE_PLUGIN_ROOT}/skills/bmad-architecture/templates/adr.template.md):

  • Title — ADR-00N: <short imperative> (e.g. ADR-003: Use REST with JSON:API envelope).
  • Status — Proposed / Accepted / Superseded.
  • Context — the forces, including which FR/NFR drive it.
  • Decision — the choice, stated so a downstream agent can follow it mechanically.
  • Consequences — what becomes easy, what becomes hard, what is now LOCKED for all stories.
  • Alternatives — what was rejected and why.

Minimum ADR set for a BMad-Method project: API style, data/persistence model, AuthN/AuthZ, state management, error/response convention, naming convention. These are exactly the choices that, left unstated, cause parallel agents to diverge.

FR/NFR coverage matrix

A required table in architecture.md: one row per FR and per NFR → the component(s) and ADR(s) that satisfy it → status. The validator fails if NFR mapping is missing. NFR categories and common ADR topics are in REFERENCE.md.

Validation scripts

ScriptPurpose
scripts/nfr-checklist.shPrints the full NFR category checklist to drive systematic coverage.
scripts/validate-architecture.sh <doc>Checks required sections, NFR coverage, ADR presence, justification, and trade-offs. Pass/fail report.

Invoke with the ${CLAUDE_PLUGIN_ROOT} prefix shown above. (The orchestrator marks scripts executable; you may also run them via bash.)

Handoff

When architecture.md validates clean, it is ready for bmad-epics-and-stories (epic sharding / story creation), then bmad-sprint-planning for wave sequencing. Stories will cite this document by section in their Dev Notes and inherit its LOCKED cross-cutting decisions, so every parallel dev agent builds against the same contract.

Reference

Detailed NFR categories, common ADR topics, and the tech-selection rubric live in REFERENCE.md.


Part of the BMAD Planning & Orchestrator plugin — a Claude Code harness for the BMAD Method by the BMAD Code Organization (https://github.com/bmad-code-org/BMAD-METHOD). Implements the spirit of bmad-create-architecture. All methodology credit belongs to the BMAD Code Organization.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Bmad Architecture AI skill do?

Solutioning skill (Winston, the Architect). Produces architecture.md with ADRs and systematic NFR coverage, mapping every FR/NFR from the PRD to a concrete design decision. ONE architecture forces all future parallel dev agents to share the same API style, data model, state management, naming conventions, and security approach — catching alignment here is 10x cheaper than during implementation. Use when the user says "design the architecture", "create architecture", "/architecture", "solutioning", "tech stack", "system design", "ADR", "architecture decision record", "data model", "API desig...

Why use Bmad Architecture on TypingMind?

Because you install it once and use it with any model. Bmad Architecture is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Bmad Architecture in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/aj-geddes/claude-code-bmad-skills/tree/main/bmad-planning-orchestrator/skills/bmad-architecture. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Bmad Architecture?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Bmad Architecture?

As many as you like. As long as a model supports skills, you can use Bmad Architecture with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Bmad Architecture AI skill free?

It is published on GitHub by aj-geddes. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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