Skill UI

A comprehensive toolkit for App Store Optimization (ASO), designed to boost mobile app visibility and ranking on both Apple App Store and Google Play Store. This guide covers end-to-end strategies, including deep keyword research, competitor analysis, metadata optimization (title, subtitle, description), and conversion rate planning. Use this resource when planning app launches or aiming to improve app store SEO and discoverability.

A comprehensive toolkit for App Store Optimization (ASO), designed to boost mobile app visibility and ranking on both Apple App Store and Google Play Store. This guide covers end-to-end strategies, including deep keyword research, competitor analysis, metadata optimization (title, subtitle, description), and conversion rate planning. Use this resource when planning app launches or aiming to improve app store SEO and discoverability.

Expert skill for optimizing content to be discovered, extracted, and cited by AI systems like Google AI Overviews, ChatGPT, Perplexity, Claude, Gemini, and Copilot. Helps users improve AI visibility, earn AI citations, and appear in AI-generated answers.

Comprehensive monitoring and alerting for Instantly.ai integrations. This skill tracks critical campaign metrics (bounce rate, open rate, reply rate), monitors account warmup status, and tracks webhook delivery performance. It ensures real-time visibility into campaign health and deliverability issues.

A comprehensive guide and implementation using TypeScript to establish production-grade observability for Linear API integrations. This includes defining Prometheus metrics (tracking latency, error rates, rate limits, and webhooks), implementing structured logging (using pino), and setting up robust health check endpoints. It ensures full visibility into API performance and system health, critical for mission-critical SaaS applications.

This comprehensive skill provides full programmatic control over the entire work order lifecycle within the MaintainX platform. Users can create new work orders with detailed metadata, programmatically transition their status (Open, In Progress, On Hold, Completed), query existing tasks, and attach documentation or comments. It is ideal for automating complex maintenance operations and ensuring end-to-end operational visibility.

Designs comprehensive, production-ready observability strategies by integrating metrics, logs, and traces. This tool guides the setup of SLI/SLO frameworks, optimizes noisy alerting configurations, and generates detailed dashboards, ensuring deep visibility into service health and performance.

This skill acts as an expert guide for implementing comprehensive monitoring and observability solutions. It covers setting up the three pillars of observability—metrics, distributed tracing, and log aggregation—along with defining monitoring architecture, creating actionable dashboards, and establishing effective alerting runbooks. Use it to achieve full visibility into system health, reduce MTTR, and ensure proactive issue detection.

Orchestrates multiple agents for complex workflows, decomposing feature, review, refactor, test, or documentation requests into parallel subtasks tracked via cc-mirror and TodoWrite for live visibility.

A comprehensive guide on optimizing Sentry observability costs. Learn techniques such as SDK-level error sampling, fine-grained performance tracing control, and event filtering using the `beforeSend` hook. These methods significantly reduce the volume of error and transaction data sent, allowing users to manage quotas and prevent overage charges without losing visibility into mission-critical production errors.

This advanced guide provides strategies for scaling Sentry in high-traffic, enterprise-level applications handling millions of events daily. It details implementing adaptive sampling based on endpoint criticality, using adaptive error deduplication to manage quotas, and optimizing the SDK for minimal runtime overhead, ensuring robust visibility even under extreme load.

Provides a comprehensive guide and code examples for configuring Sentry across development, staging, and production environments. It ensures data isolation by using separate DSNs, allows tuning of sample rates (e.g., 10% for production, 100% for dev), and implements environment-specific logic for PII scrubbing and event filtering, optimizing visibility while maintaining data security.