da5016d34a
Anthropic's Agent Skills ecosystem leans Python (official doc skills use Python; the skills spec excludes node_modules from packaged distributions). Using Python + PyYAML aligns with where the platform is going, keeps the dependency declared via requirements.txt (scannable by pip-audit/Dependabot), and eliminates the need to vendor or bundle an npm package into the repo. Changes: - Rewrite src/scripts/resolve-customization.js as src/scripts/resolve_customization.py with identical merge semantics. - Drop vendored yaml@2.8.2 (~135 files, 800KB) from src/scripts/vendor/. - Declare the dependency via src/scripts/requirements.txt (PyYAML>=6.0). - Update all 6 agent SKILL.md files to invoke `python3` instead of `node`. - Update docs/how-to/customize-bmad.md to reflect the Python runtime and PyYAML install requirement. - Remove src/scripts/vendor/** from eslint.config.mjs and .prettierignore. - Refresh the _installSharedScripts comment (no more yaml bundling). |
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| .. | ||
| cs | ||
| explanation | ||
| fr | ||
| how-to | ||
| reference | ||
| tutorials | ||
| vi-vn | ||
| zh-cn | ||
| 404.md | ||
| _STYLE_GUIDE.md | ||
| index.md | ||
| roadmap.mdx | ||