agentleFS
marlonvidalmarlonvidal/tech-manager-os/.agents/skills/bmad-create-architecture/SKILL.md

bmad-create-architecture

Skill17 starsChanged 4 months agoMITView on GitHub

DEPRECATED — consolidated into bmad-architecture create intent - this skill will be removed in v7 in favor of `bmad-architecture`.

Files
SKILL.md

DEPRECATED — forwards to bmad-architecture (create intent)

This skill was consolidated into bmad-architecture. It is retained as a thin compatibility shim so existing invocations by name and _bmad/custom/bmad-create-architecture.toml override files keep working. New work should invoke bmad-architecture directly — it detects create / update / validate intent from the conversation.

On Activation

  1. Resolve customization: python3 {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --key workflow. This picks up any {project-root}/_bmad/custom/bmad-create-architecture.toml and bmad-create-architecture.user.toml overrides for the legacy fields (activation_steps_prepend, activation_steps_append, persistent_facts, on_complete).
  2. Load {project-root}/_bmad/bmm/config.yaml (and config.user.yaml if present) to resolve {user_name} and {communication_language}.
  3. Emit a deprecation notice to the user in {communication_language}:

    Notice: bmad-create-architecture is deprecated and will be removed in a future release. It now forwards to bmad-architecture with create intent. To silence this notice and access the full new customization surface (spine_template, spine_output_path, run_folder_pattern, doc_standards, external_sources, external_handoffs, finalize_reviewers), migrate _bmad/custom/bmad-create-architecture.toml to _bmad/custom/bmad-architecture.toml and invoke bmad-architecture directly next time. Customization fields that were in this version still remain in the new version and will be respected if present in _bmad/custom/bmad-architecture.toml, but the new version also supports additional fields that you can take advantage of by migrating.

  4. Invoke bmad-architecture with the following context. Pass these as the activating context so bmad-architecture honors them instead of resolving its own customization from scratch:

    • Intent: create — skip bmad-architecture's usual intent detection step.
    • Pre-resolved legacy customization — use these in place of resolving from bmad-architecture's own customize.toml for the four legacy fields. For everything else (spine_template, spine_output_path, run_folder_pattern, doc_standards, external_sources, external_handoffs, finalize_reviewers), use bmad-architecture's own defaults and overrides as normal:
      • activation_steps_prepend = the resolved value from step 1
      • activation_steps_append = the resolved value from step 1
      • persistent_facts = the resolved value from step 1
      • on_complete = the resolved value from step 1
    • Original user input: forward whatever the user said when invoking this skill verbatim.

    bmad-architecture takes the workflow from here. Do not execute any further steps in this shim.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.