Lifestyle

Expert research tool for Model Context Protocol implementations. PROACTIVELY use when reviewing MCP server code, planning new MCP tools/resources/prompts, investigating protocol compliance issues, or validating architecture. Specializes in protocol compliance (JSON-RPC 2.0), security patterns, transport layers, and production best practices. Current spec: 2025-06-18.

Setup synthetic monitoring for proactive performance tracking including uptime checks, transaction monitoring, and API health. Use when implementing availability monitoring or tracking critical user journeys. Trigger with phrases like "setup synthetic monitoring", "monitor uptime", or "configure health checks".

Build real-time API monitoring dashboards with metrics, alerts, and health checks.Use when tracking API health and performance metrics.Trigger with phrases like "monitor the API", "add API metrics", or "setup API monitoring".

Validate application performance against defined budgets to identify regressions early. Use when checking page load times, bundle sizes, or API response times against thresholds. Trigger with phrases like "validate performance budget", "check performance metrics", or "detect performance regression".

Define and track SLAs, SLIs, and SLOs for service reliability including availability, latency, and error rates. Use when establishing reliability targets or monitoring service health. Trigger with phrases like "define SLOs", "track SLI metrics", or "calculate error budget".

Use when you need to work with monitoring and observability.This skill provides health monitoring and alerting with comprehensive guidance and automation.Trigger with phrases like "monitor system health", "set up alerts",or "track metrics".

Check HIPAA compliance for healthcare data security requirements. Use when auditing healthcare applications. Trigger with 'check HIPAA compliance', 'validate health data security', or 'audit PHI protection'.

Use when you need to work with monitoring and observability.This skill provides health monitoring and alerting with comprehensive guidance and automation.Trigger with phrases like "monitor system health", "set up alerts",or "track metrics".

Orchestrates a triple-AI engineering loop where Claude plans, Codex validates logic and reviews code, and Cursor implements, with continuous feedback for optimal code quality

Orchestrates a triple-AI engineering loop where Claude plans, Codex validates logic and reviews code, and Cursor implements, with continuous feedback for optimal code quality

Emulate the user's personal writing voice and style patterns. Use when the user asks to write content in their voice, draft documents, compose messages, or requests "write this like me" or "in my style."

PyTorch library for audio generation including text-to-music (MusicGen) and text-to-sound (AudioGen). Use when you need to generate music from text descriptions, create sound effects, or perform melody-conditioned music generation.

Foodora-only CLI for checking past orders and active order status (Deliveroo WIP).

Enterprise session state management, token budget optimization, runtime tracking, session handoff protocols, context continuity for Claude Sonnet 4.5 and Haiku 4.5 with context awareness features

Enterprise AI-powered user expertise detection with behavioral analysis, communication pattern recognition, code complexity assessment, Context7 integration, and adaptive response calibration; activates for personalized guidance generation, complexity adjustment, tutorial depth selection, and communication style matching

Adaptive communication patterns and role selection based on user expertise level and request type. Use for personalized user interactions, expertise detection, and dynamic communication adaptation.

Context window management and token budget optimization

Enterprise session state management, token budget optimization, runtime tracking, session handoff protocols, context continuity for Claude Sonnet 4.5 and Haiku 4.5 with context awareness features

Adaptive communication patterns and role selection based on user expertise level and request type. Use for personalized user interactions, expertise detection, and dynamic communication adaptation.

Enterprise AI-powered user expertise detection with behavioral analysis, communication pattern recognition, code complexity assessment, Context7 integration, and adaptive response calibration; activates for personalized guidance generation, complexity adjustment, tutorial depth selection, and communication style matching