From bmad
Initialize BMad project configuration and load config variables. Use when any skill needs module-specific configuration values, or when setting up a new BMad project.
npx claudepluginhub urso/claudev --plugin bmadThis skill uses the workspace's default tool permissions.
This skill is the configuration entry point for all BMad skills. It has two modes:
Searches, retrieves, and installs Agent Skills from prompts.chat registry using MCP tools like search_skills and get_skill. Activates for finding skills, browsing catalogs, or extending Claude.
Searches prompts.chat for AI prompt templates by keyword or category, retrieves by ID with variable handling, and improves prompts via AI. Use for discovering or enhancing prompts.
Guides MCP server integration in Claude Code plugins via .mcp.json or plugin.json configs for stdio, SSE, HTTP types, enabling external services as tools.
This skill is the configuration entry point for all BMad skills. It has two modes:
Every BMad skill should call this on activation to get its config vars. The caller never needs to know whether init happened — they just get their config back.
The script bmad_init.py is located in this skill's scripts/ directory. Locate and run it using python for all commands below.
Run the bmad_init.py script with the load subcommand. Pass --project-root set to the project root directory.
--module {module_code}--all--vars var1:default1,var2--module to get core vars onlyIf the script returns JSON vars — store them as {var-name} and return to the calling skill. Done.
If the script returns an error or init_required — proceed to the Init Path below.
When the fast path fails (config missing for a module), run this init flow.
Run bmad_init.py with the check subcommand, passing --module {module_code}, --skill-path {calling_skill_path}, and --project-root.
The response tells you what's needed:
"status": "ready" — Config is fine. Re-run load."status": "no_project" — Can't find project root. Ask user to confirm the project path."status": "core_missing" — Core config doesn't exist. Must ask core questions first."status": "module_missing" — Core exists but module config doesn't. Ask module questions.The response includes:
core_module — Core module.yaml questions (when core setup needed)target_module — Target module.yaml questions (when module setup needed, discovered from --skill-path or _bmad/{module}/)core_vars — Existing core config values (when core exists but module doesn't)core_missing)The check response includes core_module with header, subheader, and variable definitions.
header and subheader to the userprompt and defaultsingle-select, show the options as a numbered listprompt (array), show all linesThe check response includes target_module with the module's questions. Variables may reference core answers in their defaults (e.g., {output_folder}).
bmad_init.py with the resolve-defaults subcommand, passing --module {module_code}, --core-answers '{core_answers_json}', and --project-rootheader and subheadersingle-select variables, show options as a numbered listCollect all answers and run bmad_init.py with the write subcommand, passing --answers '{all_answers_json}' and --project-root.
The --answers JSON format:
{
"core": {
"user_name": "BMad",
"communication_language": "English",
"document_output_language": "English",
"output_folder": "_bmad-output"
},
"bmb": {
"bmad_builder_output_folder": "_bmad-output/skills",
"bmad_builder_reports": "_bmad-output/reports"
}
}
Note: Pass the raw user answers (before result template expansion). The script applies result templates and {project-root} expansion when writing.
The script:
_bmad/core/config.yaml with core values (if core answers provided)_bmad/{module}/config.yaml with core values + module values (result-expanded)directories arrayAfter writing, re-run bmad_init.py with the load subcommand (same as the fast path) to return resolved vars. Store returned vars as {var-name} and return them to the calling skill.