Phillip Tarrant
3f9012e6c2
Phase 1: Permission modal dialog, session resume modal, HistoryInput with up/down arrow cycling, remove "You:" echo from chat log, LLM client cleanup on unmount. Phase 2: Smart shell auto-approve using allowed/denied command lists from ToolsConfig, animated thinking spinner with live token count in status bar. Phase 3: /models slash command (list + switch), CLI directory positional argument, JSONL debug logger with rotation. Phase 4: Skills system with SkillsManager, load_skill LLM tool, /skills listing, skill invocation via slash commands, system prompt integration. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
61 lines
1.8 KiB
Python
61 lines
1.8 KiB
Python
"""Load skill tool — allows the LLM to load skill instructions on demand."""
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from __future__ import annotations
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from pathlib import Path
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from typing import Any, ClassVar
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from pydantic import BaseModel, Field
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from app.models.config import AppConfig
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from app.models.tool_call import ToolResult, ToolResultStatus
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from app.services.skills import SkillsManager
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from app.tools.base import BaseTool
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class LoadSkillParams(BaseModel):
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"""Parameters for the load_skill tool."""
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name: str = Field(description="Name of the skill to load")
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class LoadSkillTool(BaseTool):
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"""Load a skill's full instructions by name.
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Use when a skill is relevant to the current task.
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"""
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name: ClassVar[str] = "load_skill"
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description: ClassVar[str] = (
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"Load a skill's full instructions by name. "
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"Use when a skill is relevant to the current task."
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)
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params_model: ClassVar[type[BaseModel]] = LoadSkillParams
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def __init__(
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self,
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workspace_root: Path,
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config: AppConfig,
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skills_manager: SkillsManager,
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) -> None:
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super().__init__(workspace_root, config)
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self._skills = skills_manager
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def execute(self, *, tool_call_id: str, **kwargs: Any) -> ToolResult:
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skill_name: str = kwargs["name"]
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content = self._skills.load_skill(skill_name)
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if content is None:
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available = [s.name for s in self._skills.list_skills()]
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return ToolResult(
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tool_call_id=tool_call_id,
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tool_name=self.name,
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status=ToolResultStatus.ERROR,
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error=f"Unknown skill '{skill_name}'. Available: {available}",
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)
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return ToolResult(
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tool_call_id=tool_call_id,
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tool_name=self.name,
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status=ToolResultStatus.SUCCESS,
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output=content,
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)
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