fix lint

Author: dlqqq

CLAUDE.md

@@ -5,6 +5,7 @@ This file provides guidance to Claude Code (claude.ai/code) when working with co
 ## Development Commands
 
 ### Build & Watch
+
 - `jlpm dev:install` - Full development install (install dependencies, build, and link extension)
 - `jlpm build` - Build TypeScript and create labextension for development
 - `jlpm build:prod` - Production build (clean first, build optimized)
@@ -13,18 +14,21 @@ This file provides guidance to Claude Code (claude.ai/code) when working with co
 - `jlpm watch:labextension` - Watch and rebuild labextension
 
 ### Testing
+
 - `pytest -vv -r ap --cov jupyter_ai_persona_manager` - Run Python tests with coverage
 - `jlpm test` - Run TypeScript tests with Jest
 - Playwright integration tests are in `ui-tests/` directory
 
 ### Code Quality
+
 - `jlpm lint` - Run all linters (stylelint + prettier + eslint) with fixes
 - `jlpm lint:check` - Check without fixing
 - `jlpm eslint` - ESLint with fixes
 - `jlpm prettier` - Prettier with fixes
 - `jlpm stylelint` - Stylelint with fixes
 
 ### Development Lifecycle
+
 - `jlpm dev:uninstall` - Uninstall development extension
 - `jlpm clean:all` - Clean all build artifacts
 
@@ -35,70 +39,82 @@ This is a JupyterLab extension that provides AI persona management for Jupyter A
 ### Core Components
 
 **BasePersona** (`jupyter_ai_persona_manager/base_persona.py`):
+
 - Abstract base class for all AI personas
 - Handles chat integration, awareness management, and message processing
 - Provides utilities for file attachment processing and workspace access
 - Key methods: `process_message()`, `stream_message()`, `send_message()`
 
 **PersonaManager** (`jupyter_ai_persona_manager/persona_manager.py`):
+
 - Central registry and lifecycle manager for personas
 - Loads personas from both Python entry points and local `.jupyter/personas/` directory
 - Routes messages to appropriate personas based on @-mentions and chat context
 - Handles multi-user vs single-user chat scenarios differently
 
 **Persona Discovery**:
+
 - Entry points: Uses `jupyter_ai.personas` entry point group for installed packages
 - Local loading: Scans `.jupyter/personas/` for Python files containing "persona" in filename
 - Supports `/refresh-personas` command for development iteration
 
 ### Extension Structure
 
 **Frontend** (`src/`):
+
 - TypeScript JupyterLab extension
 - Minimal frontend - most logic is server-side
 - Registers server extension and handles activation
 
 **Server Extension** (`jupyter_ai_persona_manager/`):
+
 - Python server extension that integrates with JupyterLab Chat
 - Manages persona instances per chat room
 - Handles message routing and persona lifecycle
 
 ### Key Integration Points
 
-**Chat Integration**: 
+**Chat Integration**:
+
 - Integrates with `jupyterlab_chat` for message handling
 - Uses `YChat` (Yjs-based collaborative chat) for real-time messaging
 - Persona awareness uses pycrdt for collaborative state management
 
 **File System Access**:
+
 - Personas can access workspace directory and .jupyter directory
 - File attachment processing with multiple resolution strategies
 - Integration with `jupyter_server_fileid` for file ID management
 
 **Entry Point System**:
+
 - Personas registered via `[project.entry-points."jupyter_ai.personas"]` in pyproject.toml
 - Automatic discovery and loading of persona classes from installed packages
 
 ### Development Patterns
 
 **Persona Development**:
+
 - Inherit from `BasePersona` and implement `defaults` property and `process_message()` method
 - Use `self.send_message()` or `self.stream_message()` for responses
 - Access file attachments via `self.process_attachments(message)`
 - Use `self.awareness` for collaborative state (typing indicators, etc.)
 
 **Local Development**:
+
 - Place persona files in `.jupyter/personas/` directory
 - Use `/refresh-personas` command to reload without server restart
 - Files must contain "persona" in name and not start with `_` or `.`
 
 ### Configuration
 
 **Traitlets Configuration**:
+
 - `PersonaManager.default_persona_id` - Sets which persona responds in single-user chats
 - Inherits JupyterLab's configurable system via `LoggingConfigurable`
 
 **Code Style**:
+
 - TypeScript: ESLint + Prettier with interface naming convention (must start with 'I')
 - Python: Standard conventions with pytest for testing
-- Single quotes preferred, no trailing commas in TypeScript
+- Single quotes preferred, no trailing commas in TypeScript