Phillip Tarrant
2ae8294e29
Add a skill package system where each skill is a directory with a skill.yaml manifest and prompt markdown files. Skills support /command triggers, scoped config overrides (temperature, max_tokens, tool filtering), chain dependencies with cycle-safe resolution, and a finish_skill completion signal. Includes four built-in skills: explore, brainstorm, write-document, and plan. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
40 lines
1.5 KiB
Python
40 lines
1.5 KiB
Python
"""Pydantic models for structured skill packages."""
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from __future__ import annotations
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from pydantic import BaseModel, Field
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class SkillConfigOverrides(BaseModel):
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"""Scoped config overrides applied while a skill is active."""
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temperature: float | None = Field(default=None, description="Override sampling temperature")
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max_tokens: int | None = Field(default=None, description="Override max tokens")
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tools_enable: list[str] | None = Field(
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default=None, description="Whitelist — only these tools available when set"
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)
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tools_disable: list[str] | None = Field(
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default=None, description="Blacklist — disable specific tools"
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)
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class SkillManifest(BaseModel):
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"""Parsed skill.yaml manifest for a skill package directory."""
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name: str = Field(description="Unique skill identifier")
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description: str = Field(description="Human-readable skill description")
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version: str = Field(default="1.0", description="Skill version")
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triggers: list[str] = Field(
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default_factory=list, description="Slash commands that activate this skill"
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)
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config_overrides: SkillConfigOverrides = Field(
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default_factory=SkillConfigOverrides, description="Scoped config overrides"
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)
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chain: list[str] = Field(
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default_factory=list, description="Skill names to run first (dependencies)"
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)
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prompts: list[str] = Field(
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default_factory=lambda: ["prompt.md"],
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description="Markdown prompt files to load, in order",
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)
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