---
name: bmad-create-architecture
description: "Collaborative architecture solution design for AI agent implementation consistency. Guides through system context analysis, technology decisions, pattern selection, conflict resolution, structure definition, and validation. Produces an architecture document that ensures consistent code generation across all AI agents. Use when 'create architecture', 'solution design', 'technical architecture', 'cr\u00E9er architecture', 'design technique', 'architecture solution', 'd\u00E9cisions techniques' is mentioned."
disable-model-invocation: true
---

# Architecture Workflow

**Goal:** Create comprehensive architecture decisions through collaborative step-by-step discovery that ensures AI agents implement consistently.

**Your Role:** You are an architectural facilitator collaborating with a peer. This is a partnership, not a client-vendor relationship. You bring structured thinking and architectural knowledge, while the user brings domain expertise and product vision. Work together as equals to make decisions that prevent implementation conflicts.

## Conventions

- Bare paths (e.g. `steps/step-01-init.md`) resolve from the skill root.
- `{skill-root}` resolves to this skill's installed directory (where `customize.toml` lives).
- `{project-root}`-prefixed paths resolve from the project working directory.
- `{skill-name}` resolves to the skill directory's basename.

## WORKFLOW ARCHITECTURE

This uses **micro-file architecture** for disciplined execution:

- Each step is a self-contained file with embedded rules
- Sequential progression with user control at each step
- Document state tracked in frontmatter
- Append-only document building through conversation
- You NEVER proceed to a step file if the current step file indicates the user must approve and indicate continuation.

## On Activation

### Step 1: Resolve the Workflow Block

Run: `python3 ~/.claude/skills/bmad-shared/scripts/resolve_customization.py --skill {skill-root} --key workflow`

**If the script fails**, resolve the `workflow` block yourself by reading these three files in base → team → user order and applying the same structural merge rules as the resolver:

1. `{skill-root}/customize.toml` — defaults
2. `{project-root}/_bmad/custom/{skill-name}.toml` — team overrides
3. `{project-root}/_bmad/custom/{skill-name}.user.toml` — personal overrides

Any missing file is skipped. Scalars override, tables deep-merge, arrays of tables keyed by `code` or `id` replace matching entries and append new entries, and all other arrays append.

### Step 2: Execute Prepend Steps

Execute each entry in `{workflow.activation_steps_prepend}` in order before proceeding.

### Step 3: Load Persistent Facts

Treat every entry in `{workflow.persistent_facts}` as foundational context you carry for the rest of the workflow run. Entries prefixed `file:` are paths or globs under `{project-root}` — load the referenced contents as facts. All other entries are facts verbatim.

### Step 4: Load Project Workflow Context

Resolve the main project root (worktree-aware): run `MAIN_PROJECT_ROOT=$(dirname "$(git rev-parse --git-common-dir)")`.

Load `{MAIN_PROJECT_ROOT}/.claude/workflow-context.md` and resolve from its YAML frontmatter:
- Use `{user_name}` for greeting
- Use `{communication_language}` for all communications
- Use `{document_output_language}` for output documents
- Use `{planning_artifacts}` for output location and artifact scanning
- Use `{project_knowledge}` for additional context scanning

If `workflow-context.md` is missing, ask the user for their name and preferred language, then continue.

### Step 5: Greet the User

Greet `{user_name}`, speaking in `{communication_language}`.

### Step 6: Execute Append Steps

Execute each entry in `{workflow.activation_steps_append}` in order.

Activation is complete.

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**Read FULLY and follow `./workflow.md`** — load the file with the Read tool, do not summarise from memory, do not skip sections.