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+# CLAUDE.md
+
+This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
+
+## 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)
+- `jlpm watch` - Watch TypeScript source and auto-rebuild
+- `jlpm watch:src` - Watch TypeScript source only
+- `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
+
+## Architecture Overview
+
+This is a JupyterLab extension that provides AI persona management for Jupyter AI. It's a hybrid TypeScript/Python package with both frontend extension and server extension components.
+
+### 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**:
+
+- 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