from pathlib import Path from .parser import parse_skill_file from .types import Skill def get_skills_root_path() -> Path: """ Get the root path of the skills directory. Returns: Path to the skills directory (deer-flow/skills) """ # backend directory is current file's parent's parent's parent backend_dir = Path(__file__).resolve().parent.parent.parent # skills directory is sibling to backend directory skills_dir = backend_dir.parent / "skills" return skills_dir def load_skills(skills_path: Path | None = None, use_config: bool = True) -> list[Skill]: """ Load all skills from the skills directory. Scans both public and custom skill directories, parsing SKILL.md files to extract metadata. Args: skills_path: Optional custom path to skills directory. If not provided and use_config is True, uses path from config. Otherwise defaults to deer-flow/skills use_config: Whether to load skills path from config (default: True) Returns: List of Skill objects, sorted by name """ if skills_path is None: if use_config: try: from src.config import get_app_config config = get_app_config() skills_path = config.skills.get_skills_path() except Exception: # Fallback to default if config fails skills_path = get_skills_root_path() else: skills_path = get_skills_root_path() if not skills_path.exists(): return [] skills = [] # Scan public and custom directories for category in ["public", "custom"]: category_path = skills_path / category if not category_path.exists() or not category_path.is_dir(): continue # Each subdirectory is a potential skill for skill_dir in category_path.iterdir(): if not skill_dir.is_dir(): continue skill_file = skill_dir / "SKILL.md" if not skill_file.exists(): continue skill = parse_skill_file(skill_file, category=category) if skill: skills.append(skill) # Sort by name for consistent ordering skills.sort(key=lambda s: s.name) return skills