mirror of
https://github.com/mistralai/mistral-vibe
synced 2026-04-25 17:14:55 +02:00
Co-authored-by: Quentin Torroba <quentin.torroba@mistral.ai> Co-authored-by: Clément Siriex <clement.sirieix@mistral.ai> Co-authored-by: Kim-Adeline Miguel <kimadeline.miguel@mistral.ai> Co-authored-by: Michel Thomazo <michel.thomazo@mistral.ai> Co-authored-by: Clément Drouin <clement.drouin@mistral.ai>
133 lines
4.4 KiB
Python
133 lines
4.4 KiB
Python
from __future__ import annotations
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from collections.abc import Callable
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from logging import getLogger
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from pathlib import Path
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from typing import TYPE_CHECKING
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from vibe.core.paths.config_paths import resolve_local_skills_dirs
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from vibe.core.paths.global_paths import GLOBAL_SKILLS_DIR
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from vibe.core.skills.models import SkillInfo, SkillMetadata
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from vibe.core.skills.parser import SkillParseError, parse_frontmatter
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from vibe.core.utils import name_matches
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if TYPE_CHECKING:
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from vibe.core.config import VibeConfig
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logger = getLogger("vibe")
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class SkillManager:
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def __init__(self, config_getter: Callable[[], VibeConfig]) -> None:
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self._config_getter = config_getter
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self._search_paths = self._compute_search_paths(self._config)
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self._available: dict[str, SkillInfo] = self._discover_skills()
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if self._available:
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logger.info(
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"Discovered %d skill(s) from %d search path(s)",
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len(self._available),
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len(self._search_paths),
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)
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@property
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def _config(self) -> VibeConfig:
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return self._config_getter()
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@property
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def available_skills(self) -> dict[str, SkillInfo]:
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if self._config.enabled_skills:
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return {
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name: info
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for name, info in self._available.items()
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if name_matches(name, self._config.enabled_skills)
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}
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if self._config.disabled_skills:
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return {
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name: info
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for name, info in self._available.items()
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if not name_matches(name, self._config.disabled_skills)
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}
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return dict(self._available)
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@staticmethod
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def _compute_search_paths(config: VibeConfig) -> list[Path]:
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paths: list[Path] = []
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for path in config.skill_paths:
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if path.is_dir():
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paths.append(path)
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paths.extend(resolve_local_skills_dirs(Path.cwd()))
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if GLOBAL_SKILLS_DIR.path.is_dir():
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paths.append(GLOBAL_SKILLS_DIR.path)
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unique: list[Path] = []
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for p in paths:
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rp = p.resolve()
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if rp not in unique:
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unique.append(rp)
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return unique
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def _discover_skills(self) -> dict[str, SkillInfo]:
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skills: dict[str, SkillInfo] = {}
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for base in self._search_paths:
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if not base.is_dir():
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continue
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for name, info in self._discover_skills_in_dir(base).items():
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if name not in skills:
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skills[name] = info
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else:
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logger.debug(
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"Skipping duplicate skill '%s' at %s (already loaded from %s)",
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name,
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info.skill_path,
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skills[name].skill_path,
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)
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return skills
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def _discover_skills_in_dir(self, base: Path) -> dict[str, SkillInfo]:
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skills: dict[str, SkillInfo] = {}
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for skill_dir in base.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.is_file():
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continue
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if (skill_info := self._try_load_skill(skill_file)) is not None:
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skills[skill_info.name] = skill_info
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return skills
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def _try_load_skill(self, skill_file: Path) -> SkillInfo | None:
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try:
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skill_info = self._parse_skill_file(skill_file)
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except Exception as e:
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logger.warning("Failed to parse skill at %s: %s", skill_file, e)
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return None
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return skill_info
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def _parse_skill_file(self, skill_path: Path) -> SkillInfo:
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try:
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content = skill_path.read_text(encoding="utf-8")
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except OSError as e:
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raise SkillParseError(f"Cannot read file: {e}") from e
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frontmatter, _ = parse_frontmatter(content)
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metadata = SkillMetadata.model_validate(frontmatter)
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skill_name_from_dir = skill_path.parent.name
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if metadata.name != skill_name_from_dir:
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logger.warning(
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"Skill name '%s' doesn't match directory name '%s' at %s",
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metadata.name,
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skill_name_from_dir,
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skill_path,
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)
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return SkillInfo.from_metadata(metadata, skill_path)
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def get_skill(self, name: str) -> SkillInfo | None:
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return self.available_skills.get(name)
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