mirror of
https://gitee.com/wanwujie/deer-flow
synced 2026-04-03 06:12:14 +08:00
9f755ecc30
Implement a skills framework that enables specialized workflows for specific tasks (e.g., PDF processing, web page generation). Skills are discovered from the skills/ directory and automatically mounted in sandboxes with path mapping support. - Add SkillsConfig for configuring skills path and container mount point - Implement dynamic skill loading from SKILL.md files with YAML frontmatter - Add path mapping in LocalSandbox to translate container paths to local paths - Mount skills directory in AIO Docker sandbox containers - Update lead agent prompt to dynamically inject available skills - Add setup documentation and expand config.example.yaml Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
78 lines
2.3 KiB
Python
78 lines
2.3 KiB
Python
from pathlib import Path
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from .parser import parse_skill_file
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from .types import Skill
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def get_skills_root_path() -> Path:
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"""
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Get the root path of the skills directory.
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Returns:
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Path to the skills directory (deer-flow/skills)
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"""
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# backend directory is current file's parent's parent's parent
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backend_dir = Path(__file__).resolve().parent.parent.parent
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# skills directory is sibling to backend directory
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skills_dir = backend_dir.parent / "skills"
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return skills_dir
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def load_skills(skills_path: Path | None = None, use_config: bool = True) -> list[Skill]:
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"""
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Load all skills from the skills directory.
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Scans both public and custom skill directories, parsing SKILL.md files
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to extract metadata.
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Args:
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skills_path: Optional custom path to skills directory.
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If not provided and use_config is True, uses path from config.
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Otherwise defaults to deer-flow/skills
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use_config: Whether to load skills path from config (default: True)
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Returns:
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List of Skill objects, sorted by name
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"""
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if skills_path is None:
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if use_config:
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try:
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from src.config import get_app_config
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config = get_app_config()
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skills_path = config.skills.get_skills_path()
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except Exception:
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# Fallback to default if config fails
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skills_path = get_skills_root_path()
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else:
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skills_path = get_skills_root_path()
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if not skills_path.exists():
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return []
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skills = []
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# Scan public and custom directories
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for category in ["public", "custom"]:
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category_path = skills_path / category
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if not category_path.exists() or not category_path.is_dir():
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continue
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# Each subdirectory is a potential skill
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for skill_dir in category_path.iterdir():
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if not skill_dir.is_dir():
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continue
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skill_file = skill_dir / "SKILL.md"
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if not skill_file.exists():
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continue
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skill = parse_skill_file(skill_file, category=category)
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if skill:
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skills.append(skill)
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# Sort by name for consistent ordering
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skills.sort(key=lambda s: s.name)
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return skills
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