feat: add skills system for specialized agent workflows (#6)

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>
This commit is contained in:
DanielWalnut
2026-01-16 14:44:51 +08:00
committed by GitHub
parent 5ef3cb57ee
commit cfa97f7a96
30 changed files with 2959 additions and 51 deletions

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from .loader import get_skills_root_path, load_skills
from .types import Skill
__all__ = ["load_skills", "get_skills_root_path", "Skill"]

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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

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import re
from pathlib import Path
from .types import Skill
def parse_skill_file(skill_file: Path, category: str) -> Skill | None:
"""
Parse a SKILL.md file and extract metadata.
Args:
skill_file: Path to the SKILL.md file
category: Category of the skill ('public' or 'custom')
Returns:
Skill object if parsing succeeds, None otherwise
"""
if not skill_file.exists() or skill_file.name != "SKILL.md":
return None
try:
content = skill_file.read_text(encoding="utf-8")
# Extract YAML front matter
# Pattern: ---\nkey: value\n---
front_matter_match = re.match(r"^---\s*\n(.*?)\n---\s*\n", content, re.DOTALL)
if not front_matter_match:
return None
front_matter = front_matter_match.group(1)
# Parse YAML front matter (simple key-value parsing)
metadata = {}
for line in front_matter.split("\n"):
line = line.strip()
if not line:
continue
if ":" in line:
key, value = line.split(":", 1)
metadata[key.strip()] = value.strip()
# Extract required fields
name = metadata.get("name")
description = metadata.get("description")
if not name or not description:
return None
license_text = metadata.get("license")
return Skill(
name=name,
description=description,
license=license_text,
skill_dir=skill_file.parent,
skill_file=skill_file,
category=category,
)
except Exception as e:
print(f"Error parsing skill file {skill_file}: {e}")
return None

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from dataclasses import dataclass
from pathlib import Path
@dataclass
class Skill:
"""Represents a skill with its metadata and file path"""
name: str
description: str
license: str | None
skill_dir: Path
skill_file: Path
category: str # 'public' or 'custom'
@property
def skill_path(self) -> str:
"""Returns the relative path from skills root to this skill's directory"""
return self.skill_dir.name
def get_container_path(self, container_base_path: str = "/mnt/skills") -> str:
"""
Get the full path to this skill in the container.
Args:
container_base_path: Base path where skills are mounted in the container
Returns:
Full container path to the skill directory
"""
return f"{container_base_path}/{self.category}/{self.skill_dir.name}"
def __repr__(self) -> str:
return f"Skill(name={self.name!r}, description={self.description!r}, category={self.category!r})"