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This skill should be used when the user asks to "read my emails", "send an email", "compose email", "check my calendar", "get calendar events", "create a meeting", "schedule an event", "add calendar event", "search emails", "list mail folders", "show unread messages", "what meetings do I have", "fetch emails from Microsoft", "access Outlook", or mentions Microsoft Graph, Office 365 email, or Outlo

Integrate React+Vite web apps with bodhi-js-sdk for local LLM integration. Use when user asks to: "integrate bodhi", "add bodhi sdk", "connect to bodhi", "setup bodhi provider", "bodhi react integration", "deploy bodhi to github pages", or troubleshoot bodhi-js-sdk connection/auth issues.

Explains the standardized API organization pattern for this codebase. Use when creating new API endpoints, API clients, or modifying existing API structure. Covers the 5-file system (endpoint-types, endpoints, api-client, admin-api-client, protected-endpoints), role-based access patterns (admin vs regular users), and TypeScript type safety across the API layer. All API code lives in src/lib/api/ f

Authentication and access control skill for Next.js 15 + Supabase applications. Use when implementing user authentication, protecting routes, managing user sessions, enforcing role-based access control (admin/member), or working with multi-tenant family-based data isolation. Covers login/logout, registration with email verification, OAuth (GitHub), route protection for Server Components and Server

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.

Advanced Python Scheduler - Task scheduling and job queue system

Build async APIs with FastAPI, including endpoints, dependency injection, validation, and testing. Use when creating REST APIs, web backends, or microservices.

Data validation and settings management using Python type annotations with Pydantic v2

Guide for using pytest-mock plugin to write tests with mocking. Use when writing pytest tests that need mocking, patching, spying, or stubbing. Covers mocker fixture usage, patch methods, spy/stub patterns, and assertion helpers.

Python testing framework for writing simple, scalable, and powerful tests

Modern async ORM with type-safe models and efficient queries

Structured logging for Python applications with context support and powerful processors