feat: design system overhaul — sidebar, AI chats, settings, brainstorm, color cleanup
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- Sidebar: dynamic brand-accent colors, brainstorm section restyled
- AI chat general: popup panel with expand/collapse, hides when contextual AI open
- AI chat contextual: tabs reordered (Actions first), X close button, height fix
- Settings: all tabs restyled, 6 new color presets (sage, terracotta, iron, etc.)
- Global color cleanup: emerald/orange hardcoded → brand-accent dynamic
- Brainstorm page: orange → brand-accent throughout
- PageEntry animation component added to key pages
- Floating AI button: bg-brand-accent instead of hardcoded black
- i18n: all 15 locales updated with new AI/billing keys
- Billing: freemium quota tracking, BYOK, stripe subscription scaffolding
- Admin: integrated into new design
- AGENTS.md + CLAUDE.md project rules added
This commit is contained in:
Antigravity
2026-05-16 12:59:30 +00:00
parent 1fcea6ed7d
commit bd495be965
2284 changed files with 395285 additions and 2327 deletions

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#!/usr/bin/env python3
# /// script
# requires-python = ">=3.10"
# dependencies = []
# ///
"""Remove legacy module directories from _bmad/ after config migration.
After merge-config.py and merge-help-csv.py have migrated config data and
deleted individual legacy files, this script removes the now-redundant
directory trees. These directories contain skill files that are already
installed at .claude/skills/ (or equivalent) — only the config files at
_bmad/ root need to persist.
When --skills-dir is provided, the script verifies that every skill found
in the legacy directories exists at the installed location before removing
anything. Directories without skills (like _config/) are removed directly.
Exit codes: 0=success (including nothing to remove), 1=validation error, 2=runtime error
"""
import argparse
import json
import shutil
import sys
from pathlib import Path
def parse_args():
parser = argparse.ArgumentParser(
description="Remove legacy module directories from _bmad/ after config migration."
)
parser.add_argument(
"--bmad-dir",
required=True,
help="Path to the _bmad/ directory",
)
parser.add_argument(
"--module-code",
required=True,
help="Module code being cleaned up (e.g. 'bmb')",
)
parser.add_argument(
"--also-remove",
action="append",
default=[],
help="Additional directory names under _bmad/ to remove (repeatable)",
)
parser.add_argument(
"--skills-dir",
help="Path to .claude/skills/ — enables safety verification that skills "
"are installed before removing legacy copies",
)
parser.add_argument(
"--verbose",
action="store_true",
help="Print detailed progress to stderr",
)
return parser.parse_args()
def find_skill_dirs(base_path: str) -> list:
"""Find installable skill directories under base_path.
Only considers SKILL.md files at recognized installable positions:
- Direct children: base_path/{name}/SKILL.md (legacy flat layout)
- Skills subfolder: base_path/skills/{name}/SKILL.md (current layout)
SKILL.md files nested deeper (e.g. in tasks/, assets/, or within a
skill's own subdirectories) are not installable skills and are skipped.
Returns:
List of skill directory names (e.g. ['bmad-agent-builder', 'bmad-builder-setup'])
"""
skills = []
root = Path(base_path)
if not root.exists():
return skills
for skill_md in root.rglob("SKILL.md"):
rel = skill_md.parent.relative_to(root)
parts = rel.parts
# Direct child: {name}/SKILL.md
if len(parts) == 1:
skills.append(parts[0])
# Skills subfolder: skills/{name}/SKILL.md
elif len(parts) == 2 and parts[0] == "skills":
skills.append(parts[1])
return sorted(set(skills))
def verify_skills_installed(
bmad_dir: str, dirs_to_check: list, skills_dir: str, verbose: bool = False
) -> list:
"""Verify that skills in legacy directories exist at the installed location.
Scans each directory in dirs_to_check for skill folders (containing SKILL.md),
then checks that a matching directory exists under skills_dir. Directories
that contain no skills (like _config/) are silently skipped.
Returns:
List of verified skill names.
Raises SystemExit(1) if any skills are missing from skills_dir.
"""
all_verified = []
missing = []
for dirname in dirs_to_check:
legacy_path = Path(bmad_dir) / dirname
if not legacy_path.exists():
continue
skill_names = find_skill_dirs(str(legacy_path))
if not skill_names:
if verbose:
print(
f"No skills found in {dirname}/ — skipping verification",
file=sys.stderr,
)
continue
for skill_name in skill_names:
installed_path = Path(skills_dir) / skill_name
if installed_path.is_dir():
all_verified.append(skill_name)
if verbose:
print(
f"Verified: {skill_name} exists at {installed_path}",
file=sys.stderr,
)
else:
missing.append(skill_name)
if verbose:
print(
f"MISSING: {skill_name} not found at {installed_path}",
file=sys.stderr,
)
if missing:
error_result = {
"status": "error",
"error": "Skills not found at installed location",
"missing_skills": missing,
"skills_dir": str(Path(skills_dir).resolve()),
}
print(json.dumps(error_result, indent=2))
sys.exit(1)
return sorted(set(all_verified))
def count_files(path: Path) -> int:
"""Count all files recursively in a directory."""
count = 0
for item in path.rglob("*"):
if item.is_file():
count += 1
return count
def cleanup_directories(
bmad_dir: str, dirs_to_remove: list, verbose: bool = False
) -> tuple:
"""Remove specified directories under bmad_dir.
Returns:
(removed, not_found, total_files_removed) tuple
"""
removed = []
not_found = []
total_files = 0
for dirname in dirs_to_remove:
target = Path(bmad_dir) / dirname
if not target.exists():
not_found.append(dirname)
if verbose:
print(f"Not found (skipping): {target}", file=sys.stderr)
continue
if not target.is_dir():
if verbose:
print(f"Not a directory (skipping): {target}", file=sys.stderr)
not_found.append(dirname)
continue
# Preserve config.yaml if present (bmad-init needs per-module configs)
config_path = target / "config.yaml"
config_backup = None
if config_path.exists():
config_backup = config_path.read_bytes()
if verbose:
print(f"Preserving config.yaml in {dirname}/", file=sys.stderr)
file_count = count_files(target)
if config_backup:
file_count -= 1 # Don't count the preserved file
if verbose:
print(
f"Removing {target} ({file_count} files)",
file=sys.stderr,
)
try:
shutil.rmtree(target)
except OSError as e:
error_result = {
"status": "error",
"error": f"Failed to remove {target}: {e}",
"directories_removed": removed,
"directories_failed": dirname,
}
print(json.dumps(error_result, indent=2))
sys.exit(2)
# Restore preserved config.yaml
if config_backup:
target.mkdir(parents=True, exist_ok=True)
config_path.write_bytes(config_backup)
if verbose:
print(f"Restored config.yaml in {dirname}/", file=sys.stderr)
removed.append(dirname)
total_files += file_count
return removed, not_found, total_files
def main():
args = parse_args()
bmad_dir = args.bmad_dir
module_code = args.module_code
# Build the list of directories to remove
dirs_to_remove = [module_code, "core"] + args.also_remove
# Deduplicate while preserving order
seen = set()
unique_dirs = []
for d in dirs_to_remove:
if d not in seen:
seen.add(d)
unique_dirs.append(d)
dirs_to_remove = unique_dirs
if args.verbose:
print(f"Directories to remove: {dirs_to_remove}", file=sys.stderr)
# Safety check: verify skills are installed before removing
verified_skills = None
if args.skills_dir:
if args.verbose:
print(
f"Verifying skills installed at {args.skills_dir}",
file=sys.stderr,
)
verified_skills = verify_skills_installed(
bmad_dir, dirs_to_remove, args.skills_dir, args.verbose
)
# Remove directories
removed, not_found, total_files = cleanup_directories(
bmad_dir, dirs_to_remove, args.verbose
)
# Build result
result = {
"status": "success",
"bmad_dir": str(Path(bmad_dir).resolve()),
"directories_removed": removed,
"directories_not_found": not_found,
"files_removed_count": total_files,
}
if args.skills_dir:
result["safety_checks"] = {
"skills_verified": True,
"skills_dir": str(Path(args.skills_dir).resolve()),
"verified_skills": verified_skills,
}
else:
result["safety_checks"] = None
print(json.dumps(result, indent=2))
if __name__ == "__main__":
main()

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#!/usr/bin/env python3
# /// script
# requires-python = ">=3.10"
# dependencies = []
# ///
"""Configure pipeline guard hook for Claude Code and standing order for all platforms.
Merges the pipeline guard Stop hook into .claude/settings.local.json
and/or appends the standing order to AGENTS.md. Idempotent — skips
if already configured.
Usage:
python3 scripts/configure-guard.py --settings-path PATH --guard-script-path PATH
python3 scripts/configure-guard.py --agents-md-path PATH
python3 scripts/configure-guard.py --settings-path PATH --agents-md-path PATH
Options:
--settings-path Path to .claude/settings.local.json
--guard-script-path Relative path from project root to pipeline-guard.py
--agents-md-path Path to AGENTS.md (or CLAUDE.md / GEMINI.md)
-o, --output Write JSON output to file instead of stdout
"""
import argparse
import json
import sys
from pathlib import Path
STANDING_ORDER = """
## Suno Pipeline Rule (MANDATORY)
When the suno-agent-band-manager skill is active, NEVER hand-build a Suno package. ALWAYS invoke suno-style-prompt-builder and suno-lyric-transformer via the Skill tool before presenting any style prompt + lyrics + settings package. This rule exists because the skill reference files contain critical guardrails (artist name detection, production descriptor checks, character budget validation, section tag validation) that cannot be replicated from conversation memory.
""".strip()
STANDING_ORDER_MARKER = "## Suno Pipeline Rule"
def configure_claude_hook(settings_path: Path, guard_script_path: str) -> dict:
"""Merge pipeline guard Stop hook into Claude Code settings."""
result = {"target": "claude_hook", "path": str(settings_path)}
# Load existing settings
if settings_path.is_file():
try:
existing = json.loads(settings_path.read_text(encoding="utf-8"))
except json.JSONDecodeError:
return {**result, "status": "error", "message": "Malformed JSON in settings file. Fix manually or delete to recreate."}
else:
existing = {}
# Ensure hooks.Stop structure exists
hooks = existing.setdefault("hooks", {})
stop_hooks = hooks.setdefault("Stop", [])
# Check if already configured
for entry in stop_hooks:
for hook in entry.get("hooks", []):
if "pipeline-guard" in hook.get("command", ""):
return {**result, "status": "already_configured"}
# Build the hook command
command = f'python3 "$CLAUDE_PROJECT_DIR"/{guard_script_path}'
# Append new entry
stop_hooks.append({
"hooks": [{
"type": "command",
"command": command,
"timeout": 10,
}]
})
# Write back
settings_path.parent.mkdir(parents=True, exist_ok=True)
settings_path.write_text(json.dumps(existing, indent=2) + "\n", encoding="utf-8")
return {**result, "status": "configured"}
def configure_standing_order(md_path: Path) -> dict:
"""Append standing order to a markdown instruction file."""
result = {"target": "standing_order", "path": str(md_path)}
# Check if already present
if md_path.is_file():
content = md_path.read_text(encoding="utf-8")
if STANDING_ORDER_MARKER in content:
return {**result, "status": "already_configured"}
# Append with separator
if content and not content.endswith("\n\n"):
content = content.rstrip("\n") + "\n\n"
content += STANDING_ORDER + "\n"
else:
content = STANDING_ORDER + "\n"
md_path.write_text(content, encoding="utf-8")
return {**result, "status": "configured"}
def main():
parser = argparse.ArgumentParser(description="Configure pipeline guard")
parser.add_argument("--settings-path", help="Path to .claude/settings.local.json")
parser.add_argument("--guard-script-path", help="Relative path to pipeline-guard.py from project root")
parser.add_argument("--agents-md-path", help="Path to AGENTS.md (or CLAUDE.md / GEMINI.md)")
parser.add_argument("-o", "--output", help="Output file path")
args = parser.parse_args()
results = []
if args.settings_path and args.guard_script_path:
results.append(configure_claude_hook(
Path(args.settings_path),
args.guard_script_path,
))
if args.agents_md_path:
results.append(configure_standing_order(Path(args.agents_md_path)))
if not results:
results.append({"status": "error", "message": "No configuration targets specified. Use --settings-path and/or --agents-md-path."})
output = json.dumps({"results": results}, indent=2)
if args.output:
Path(args.output).write_text(output, encoding="utf-8")
print(f"Results written to {args.output}", file=sys.stderr)
else:
print(output)
if __name__ == "__main__":
main()

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#!/usr/bin/env python3
# /// script
# requires-python = ">=3.10"
# dependencies = ["pyyaml>=6.0"]
# ///
"""Merge module configuration into shared _bmad/config.yaml and config.user.yaml.
Reads a module.yaml definition and a JSON answers file, then writes or updates
the shared config.yaml (core values at root + module section) and config.user.yaml
(user_name, communication_language, plus any module variable with user_setting: true).
Uses an anti-zombie pattern for the module section in config.yaml.
Legacy migration: when --legacy-dir is provided, reads old per-module config files
from {legacy-dir}/{module-code}/config.yaml and {legacy-dir}/core/config.yaml.
Matching values serve as fallback defaults (answers override them). After a
successful merge, the legacy config.yaml files are deleted. Only the current
module and core directories are touched — other module directories are left alone.
Exit codes: 0=success, 1=validation error, 2=runtime error
"""
import argparse
import json
import sys
from pathlib import Path
try:
import yaml
except ImportError:
print("Error: pyyaml is required (PEP 723 dependency)", file=sys.stderr)
sys.exit(2)
def parse_args():
parser = argparse.ArgumentParser(
description="Merge module config into shared _bmad/config.yaml with anti-zombie pattern."
)
parser.add_argument(
"--config-path",
required=True,
help="Path to the target _bmad/config.yaml file",
)
parser.add_argument(
"--module-yaml",
required=True,
help="Path to the module.yaml definition file",
)
parser.add_argument(
"--answers",
required=True,
help="Path to JSON file with collected answers",
)
parser.add_argument(
"--user-config-path",
required=True,
help="Path to the target _bmad/config.user.yaml file",
)
parser.add_argument(
"--legacy-dir",
help="Path to _bmad/ directory to check for legacy per-module config files. "
"Matching values are used as fallback defaults, then legacy files are deleted.",
)
parser.add_argument(
"--verbose",
action="store_true",
help="Print detailed progress to stderr",
)
return parser.parse_args()
def load_yaml_file(path: str) -> dict:
"""Load a YAML file, returning empty dict if file doesn't exist."""
file_path = Path(path)
if not file_path.exists():
return {}
with open(file_path, "r", encoding="utf-8") as f:
content = yaml.safe_load(f)
return content if content else {}
def load_json_file(path: str) -> dict:
"""Load a JSON file."""
with open(path, "r", encoding="utf-8") as f:
return json.load(f)
# Keys that live at config root (shared across all modules)
_CORE_KEYS = frozenset(
{"user_name", "communication_language", "document_output_language", "output_folder"}
)
def load_legacy_values(
legacy_dir: str, module_code: str, module_yaml: dict, verbose: bool = False
) -> tuple[dict, dict, list]:
"""Read legacy per-module config files and return core/module value dicts.
Reads {legacy_dir}/core/config.yaml and {legacy_dir}/{module_code}/config.yaml.
Only returns values whose keys match the current schema (core keys or module.yaml
variable definitions). Other modules' directories are not touched.
Returns:
(legacy_core, legacy_module, files_found) where files_found lists paths read.
"""
legacy_core: dict = {}
legacy_module: dict = {}
files_found: list = []
# Read core legacy config
core_path = Path(legacy_dir) / "core" / "config.yaml"
if core_path.exists():
core_data = load_yaml_file(str(core_path))
files_found.append(str(core_path))
for k, v in core_data.items():
if k in _CORE_KEYS:
legacy_core[k] = v
if verbose:
print(f"Legacy core config: {list(legacy_core.keys())}", file=sys.stderr)
# Read module legacy config
mod_path = Path(legacy_dir) / module_code / "config.yaml"
if mod_path.exists():
mod_data = load_yaml_file(str(mod_path))
files_found.append(str(mod_path))
for k, v in mod_data.items():
if k in _CORE_KEYS:
# Core keys duplicated in module config — only use if not already set
if k not in legacy_core:
legacy_core[k] = v
elif k in module_yaml and isinstance(module_yaml[k], dict):
# Module-specific key that matches a current variable definition
legacy_module[k] = v
if verbose:
print(
f"Legacy module config: {list(legacy_module.keys())}", file=sys.stderr
)
return legacy_core, legacy_module, files_found
def apply_legacy_defaults(answers: dict, legacy_core: dict, legacy_module: dict) -> dict:
"""Apply legacy values as fallback defaults under the answers.
Legacy values fill in any key not already present in answers.
Explicit answers always win.
"""
merged = dict(answers)
if legacy_core:
core = merged.get("core", {})
filled_core = dict(legacy_core) # legacy as base
filled_core.update(core) # answers override
merged["core"] = filled_core
if legacy_module:
mod = merged.get("module", {})
filled_mod = dict(legacy_module) # legacy as base
filled_mod.update(mod) # answers override
merged["module"] = filled_mod
return merged
def cleanup_legacy_configs(
legacy_dir: str, module_code: str, verbose: bool = False
) -> list:
"""Delete legacy config.yaml files for this module and core only.
Returns list of deleted file paths.
"""
deleted = []
for subdir in (module_code, "core"):
legacy_path = Path(legacy_dir) / subdir / "config.yaml"
if legacy_path.exists():
if verbose:
print(f"Deleting legacy config: {legacy_path}", file=sys.stderr)
legacy_path.unlink()
deleted.append(str(legacy_path))
return deleted
def extract_module_metadata(module_yaml: dict) -> dict:
"""Extract non-variable metadata fields from module.yaml."""
meta = {}
for k in ("name", "description"):
if k in module_yaml:
meta[k] = module_yaml[k]
meta["version"] = module_yaml.get("module_version") # null if absent
if "default_selected" in module_yaml:
meta["default_selected"] = module_yaml["default_selected"]
return meta
def apply_result_templates(
module_yaml: dict, module_answers: dict, verbose: bool = False
) -> dict:
"""Apply result templates from module.yaml to transform raw answer values.
For each answer, if the corresponding variable definition in module.yaml has
a 'result' field, replaces {value} in that template with the answer. Skips
the template if the answer already contains '{project-root}' to prevent
double-prefixing.
"""
transformed = {}
for key, value in module_answers.items():
var_def = module_yaml.get(key)
if (
isinstance(var_def, dict)
and "result" in var_def
and "{project-root}" not in str(value)
):
template = var_def["result"]
transformed[key] = template.replace("{value}", str(value))
if verbose:
print(
f"Applied result template for '{key}': {value}{transformed[key]}",
file=sys.stderr,
)
else:
transformed[key] = value
return transformed
def merge_config(
existing_config: dict,
module_yaml: dict,
answers: dict,
verbose: bool = False,
) -> dict:
"""Merge answers into config, applying anti-zombie pattern.
Args:
existing_config: Current config.yaml contents (may be empty)
module_yaml: The module definition
answers: JSON with 'core' and/or 'module' keys
verbose: Print progress to stderr
Returns:
Updated config dict ready to write
"""
config = dict(existing_config)
module_code = module_yaml.get("code")
if not module_code:
print("Error: module.yaml must have a 'code' field", file=sys.stderr)
sys.exit(1)
# Migrate legacy core: section to root
if "core" in config and isinstance(config["core"], dict):
if verbose:
print("Migrating legacy 'core' section to root", file=sys.stderr)
config.update(config.pop("core"))
# Strip user-only keys from config — they belong exclusively in config.user.yaml
for key in _CORE_USER_KEYS:
if key in config:
if verbose:
print(f"Removing user-only key '{key}' from config (belongs in config.user.yaml)", file=sys.stderr)
del config[key]
# Write core values at root (global properties, not nested under "core")
# Exclude user-only keys — those belong exclusively in config.user.yaml
core_answers = answers.get("core")
if core_answers:
shared_core = {k: v for k, v in core_answers.items() if k not in _CORE_USER_KEYS}
if shared_core:
if verbose:
print(f"Writing core config at root: {list(shared_core.keys())}", file=sys.stderr)
config.update(shared_core)
# Anti-zombie: remove existing module section
if module_code in config:
if verbose:
print(
f"Removing existing '{module_code}' section (anti-zombie)",
file=sys.stderr,
)
del config[module_code]
# Build module section: metadata + variable values
module_section = extract_module_metadata(module_yaml)
module_answers = apply_result_templates(
module_yaml, answers.get("module", {}), verbose
)
module_section.update(module_answers)
if verbose:
print(
f"Writing '{module_code}' section with keys: {list(module_section.keys())}",
file=sys.stderr,
)
config[module_code] = module_section
return config
# Core keys that are always written to config.user.yaml
_CORE_USER_KEYS = ("user_name", "communication_language")
def extract_user_settings(module_yaml: dict, answers: dict) -> dict:
"""Collect settings that belong in config.user.yaml.
Includes user_name and communication_language from core answers, plus any
module variable whose definition contains user_setting: true.
"""
user_settings = {}
core_answers = answers.get("core", {})
for key in _CORE_USER_KEYS:
if key in core_answers:
user_settings[key] = core_answers[key]
module_answers = answers.get("module", {})
for var_name, var_def in module_yaml.items():
if isinstance(var_def, dict) and var_def.get("user_setting") is True:
if var_name in module_answers:
user_settings[var_name] = module_answers[var_name]
return user_settings
def write_config(config: dict, config_path: str, verbose: bool = False) -> None:
"""Write config dict to YAML file, creating parent dirs as needed."""
path = Path(config_path)
path.parent.mkdir(parents=True, exist_ok=True)
if verbose:
print(f"Writing config to {path}", file=sys.stderr)
with open(path, "w", encoding="utf-8") as f:
yaml.dump(
config,
f,
default_flow_style=False,
allow_unicode=True,
sort_keys=False,
)
def write_init_compatible_configs(config, user_config, module_code, bmad_dir, verbose=False):
"""Write per-module config files in the format bmad-init expects.
bmad-init reads:
- _bmad/core/config.yaml (core settings as flat YAML)
- _bmad/{module}/config.yaml (core + module settings as flat YAML)
This bridges the setup skill's shared config format with bmad-init's
per-module config format used at runtime by all skills.
"""
_META_KEYS = frozenset({"name", "description", "version", "default_selected"})
written = []
# Assemble core values from flat config root + user config
core_values = {}
for key in _CORE_KEYS:
if key in config:
core_values[key] = config[key]
for key in _CORE_USER_KEYS:
if key in user_config:
core_values[key] = user_config[key]
# Write _bmad/core/config.yaml
core_path = str(Path(bmad_dir) / "core" / "config.yaml")
write_config(core_values, core_path, verbose)
written.append(core_path)
# Assemble module values: core + module-specific (flat, no metadata)
module_section = config.get(module_code, {})
module_values = dict(core_values)
for key, value in module_section.items():
if key not in _META_KEYS:
module_values[key] = value
# Write _bmad/{module}/config.yaml
module_path = str(Path(bmad_dir) / module_code / "config.yaml")
write_config(module_values, module_path, verbose)
written.append(module_path)
return written
def main():
args = parse_args()
# Load inputs
module_yaml = load_yaml_file(args.module_yaml)
if not module_yaml:
print(f"Error: Could not load module.yaml from {args.module_yaml}", file=sys.stderr)
sys.exit(1)
answers = load_json_file(args.answers)
existing_config = load_yaml_file(args.config_path)
if args.verbose:
exists = Path(args.config_path).exists()
print(f"Config file exists: {exists}", file=sys.stderr)
if exists:
print(f"Existing sections: {list(existing_config.keys())}", file=sys.stderr)
# Legacy migration: read old per-module configs as fallback defaults
legacy_files_found = []
if args.legacy_dir:
module_code = module_yaml.get("code", "")
legacy_core, legacy_module, legacy_files_found = load_legacy_values(
args.legacy_dir, module_code, module_yaml, args.verbose
)
if legacy_core or legacy_module:
answers = apply_legacy_defaults(answers, legacy_core, legacy_module)
if args.verbose:
print("Applied legacy values as fallback defaults", file=sys.stderr)
# Merge and write config.yaml
updated_config = merge_config(existing_config, module_yaml, answers, args.verbose)
write_config(updated_config, args.config_path, args.verbose)
# Merge and write config.user.yaml
user_settings = extract_user_settings(module_yaml, answers)
existing_user_config = load_yaml_file(args.user_config_path)
updated_user_config = dict(existing_user_config)
updated_user_config.update(user_settings)
if user_settings:
write_config(updated_user_config, args.user_config_path, args.verbose)
# Legacy cleanup: delete old per-module config files
legacy_deleted = []
if args.legacy_dir:
legacy_deleted = cleanup_legacy_configs(
args.legacy_dir, module_yaml["code"], args.verbose
)
# Write init-compatible per-module configs for bmad-init runtime loading
bmad_dir = str(Path(args.config_path).parent)
init_configs = write_init_compatible_configs(
updated_config, updated_user_config, module_yaml["code"], bmad_dir, args.verbose
)
# Output result summary as JSON
module_code = module_yaml["code"]
result = {
"status": "success",
"config_path": str(Path(args.config_path).resolve()),
"user_config_path": str(Path(args.user_config_path).resolve()),
"module_code": module_code,
"core_updated": bool(answers.get("core")),
"module_keys": list(updated_config.get(module_code, {}).keys()),
"user_keys": list(user_settings.keys()),
"legacy_configs_found": legacy_files_found,
"legacy_configs_deleted": legacy_deleted,
"init_configs_written": init_configs,
}
print(json.dumps(result, indent=2))
if __name__ == "__main__":
main()

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@@ -0,0 +1,218 @@
#!/usr/bin/env python3
# /// script
# requires-python = ">=3.10"
# dependencies = []
# ///
"""Merge module help entries into shared _bmad/module-help.csv.
Reads a source CSV with module help entries and merges them into a target CSV.
Uses an anti-zombie pattern: all existing rows matching the source module code
are removed before appending fresh rows.
Legacy cleanup: when --legacy-dir and --module-code are provided, deletes old
per-module module-help.csv files from {legacy-dir}/{module-code}/ and
{legacy-dir}/core/. Only the current module and core are touched.
Exit codes: 0=success, 1=validation error, 2=runtime error
"""
import argparse
import csv
import json
import sys
from io import StringIO
from pathlib import Path
# CSV header for module-help.csv
HEADER = [
"module",
"skill",
"display-name",
"menu-code",
"description",
"action",
"args",
"phase",
"after",
"before",
"required",
"output-location",
"outputs",
]
def parse_args():
parser = argparse.ArgumentParser(
description="Merge module help entries into shared _bmad/module-help.csv with anti-zombie pattern."
)
parser.add_argument(
"--target",
required=True,
help="Path to the target _bmad/module-help.csv file",
)
parser.add_argument(
"--source",
required=True,
help="Path to the source module-help.csv with entries to merge",
)
parser.add_argument(
"--legacy-dir",
help="Path to _bmad/ directory to check for legacy per-module CSV files.",
)
parser.add_argument(
"--module-code",
help="Module code (required with --legacy-dir for scoping cleanup).",
)
parser.add_argument(
"--verbose",
action="store_true",
help="Print detailed progress to stderr",
)
return parser.parse_args()
def read_csv_rows(path: str) -> tuple[list[str], list[list[str]]]:
"""Read CSV file returning (header, data_rows).
Returns empty header and rows if file doesn't exist.
"""
file_path = Path(path)
if not file_path.exists():
return [], []
with open(file_path, "r", encoding="utf-8", newline="") as f:
content = f.read()
reader = csv.reader(StringIO(content))
rows = list(reader)
if not rows:
return [], []
return rows[0], rows[1:]
def extract_module_codes(rows: list[list[str]]) -> set[str]:
"""Extract unique module codes from data rows."""
codes = set()
for row in rows:
if row and row[0].strip():
codes.add(row[0].strip())
return codes
def filter_rows(rows: list[list[str]], module_code: str) -> list[list[str]]:
"""Remove all rows matching the given module code."""
return [row for row in rows if not row or row[0].strip() != module_code]
def write_csv(path: str, header: list[str], rows: list[list[str]], verbose: bool = False) -> None:
"""Write header + rows to CSV file, creating parent dirs as needed."""
file_path = Path(path)
file_path.parent.mkdir(parents=True, exist_ok=True)
if verbose:
print(f"Writing {len(rows)} data rows to {path}", file=sys.stderr)
with open(file_path, "w", encoding="utf-8", newline="") as f:
writer = csv.writer(f)
writer.writerow(header)
for row in rows:
writer.writerow(row)
def cleanup_legacy_csvs(
legacy_dir: str, module_code: str, verbose: bool = False
) -> list:
"""Delete legacy per-module module-help.csv files for this module and core only.
Returns list of deleted file paths.
"""
deleted = []
for subdir in (module_code, "core"):
legacy_path = Path(legacy_dir) / subdir / "module-help.csv"
if legacy_path.exists():
if verbose:
print(f"Deleting legacy CSV: {legacy_path}", file=sys.stderr)
legacy_path.unlink()
deleted.append(str(legacy_path))
return deleted
def main():
args = parse_args()
# Read source entries
source_header, source_rows = read_csv_rows(args.source)
if not source_rows:
print(f"Error: No data rows found in source {args.source}", file=sys.stderr)
sys.exit(1)
# Determine module codes being merged
source_codes = extract_module_codes(source_rows)
if not source_codes:
print("Error: Could not determine module code from source rows", file=sys.stderr)
sys.exit(1)
if args.verbose:
print(f"Source module codes: {source_codes}", file=sys.stderr)
print(f"Source rows: {len(source_rows)}", file=sys.stderr)
# Read existing target (may not exist)
target_header, target_rows = read_csv_rows(args.target)
target_existed = Path(args.target).exists()
if args.verbose:
print(f"Target exists: {target_existed}", file=sys.stderr)
if target_existed:
print(f"Existing target rows: {len(target_rows)}", file=sys.stderr)
# Use source header if target doesn't exist or has no header
header = target_header if target_header else (source_header if source_header else HEADER)
# Anti-zombie: remove all rows for each source module code
filtered_rows = target_rows
removed_count = 0
for code in source_codes:
before_count = len(filtered_rows)
filtered_rows = filter_rows(filtered_rows, code)
removed_count += before_count - len(filtered_rows)
if args.verbose and removed_count > 0:
print(f"Removed {removed_count} existing rows (anti-zombie)", file=sys.stderr)
# Append source rows
merged_rows = filtered_rows + source_rows
# Write result
write_csv(args.target, header, merged_rows, args.verbose)
# Legacy cleanup: delete old per-module CSV files
legacy_deleted = []
if args.legacy_dir:
if not args.module_code:
print(
"Error: --module-code is required when --legacy-dir is provided",
file=sys.stderr,
)
sys.exit(1)
legacy_deleted = cleanup_legacy_csvs(
args.legacy_dir, args.module_code, args.verbose
)
# Output result summary as JSON
result = {
"status": "success",
"target_path": str(Path(args.target).resolve()),
"target_existed": target_existed,
"module_codes": sorted(source_codes),
"rows_removed": removed_count,
"rows_added": len(source_rows),
"total_rows": len(merged_rows),
"legacy_csvs_deleted": legacy_deleted,
}
print(json.dumps(result, indent=2))
if __name__ == "__main__":
main()