Skill UI

A robust reference architecture designed for integrating multi-property portfolios with the AppFolio Stack API. It manages complex tasks such as real-time vacancy tracking, tenant lifecycle management, work order routing, and financial accounting reconciliation (e.g., QuickBooks/Xero). Key components include a service layer, multi-level caching strategies for optimal data freshness, and an event-driven pipeline (using webhooks and message queues) to ensure data consistency and idempotency across all transactions, addressing potential rate limits and failure modes.

This skill provides robust mechanisms to handle real-time webhook events from the AppFolio property management platform. It processes critical lifecycle events such as tenant onboarding, lease signings, rent payments, and maintenance work order updates. By utilizing these webhooks, developers can securely and instantly sync AppFolio data with external systems (e.g., CRM, accounting, custom dashboards), avoiding inefficient API polling and ensuring data consistency.

An expert assistant simulating a Senior Apple Design Lead. This skill provides comprehensive guidance on the Apple Human Interface Guidelines (HIG) for iOS, macOS, and visionOS. It helps users design, audit, and refine applications to maintain native integration, incorporating advanced aesthetics like the 'Liquid Glass' look and ensuring accessibility compliance from the start. Use it for initial design conceptualization or systematic app audits.

This debug bundle collects comprehensive diagnostic data from Apple Notes automation integrations. It captures system compatibility details, TCC permission statuses, account information, folder structure, and iCloud sync status. Use this tool to diagnose common issues like permission denials, sandbox restrictions, and scripting bridge errors that prevent Notes automation from working correctly on macOS.

This guide details how to automate Apple Notes on macOS, providing a solution for applications lacking a direct REST API. It offers comprehensive instructions on setting up necessary system accessibility permissions and utilizing advanced scripting technologies, including AppleScript, JavaScript for Automation (JXA), and Shortcuts. Use cases cover advanced note management, batch processing, and integrating Notes into larger automation workflows.

This tool provides comprehensive audits for App Store and Google Play listings. It analyzes metadata, visual assets, and user ratings against current ASO best practices. By fetching live data and assessing brand maturity, it generates a prioritized, actionable plan to boost app visibility, improve conversion rates, and enhance overall store ranking.

This guide demonstrates how to set up robust Continuous Integration/Continuous Deployment (CI/CD) pipelines for projects utilizing AssemblyAI's speech-to-text services. It provides detailed GitHub Actions workflows for running both mocked unit tests (free and fast) and live, cost-controlled integration tests. Learn how to safely manage API keys and ensure transcription stability in your automated build process.

A comprehensive guide designed to diagnose and resolve common errors and exceptions encountered when using the AssemblyAI API. It covers critical topics such as authentication failures (401), rate limiting (429), transcription status errors, streaming issues, and LeMUR processing, helping users debug and maintain robust data pipelines.

Execute comprehensive, asynchronous transcription workflows using AssemblyAI. This tool handles file upload, queues jobs, and provides advanced audio intelligence features. Capabilities include speaker diarization, sentiment analysis, named entity recognition (NER), topic categorization (IAB), content safety moderation, and sensitive PII redaction. Ideal for processing meeting recordings, interviews, and large volumes of spoken content.

Collects comprehensive diagnostic evidence for support tickets related to AssemblyAI. This utility automates the gathering of runtime environment details, SDK versions, API connectivity checks, and specific transcript statuses, greatly accelerating troubleshooting and issue resolution for speech-to-text applications.

A comprehensive guide to using AssemblyAI for rich audio processing. This guide covers basic speech-to-text transcription from URLs or local files, along with advanced AI features. Capabilities include speaker diarization, sentiment analysis, key phrase extraction, entity detection, and powerful LLM-powered analysis (LeMUR) for summarization and Q&A. Ideal for integrating deep, multi-faceted audio insights into applications.

This guide provides advanced techniques to optimize AssemblyAI's transcription performance for large-scale applications. Learn how to maximize throughput and minimize latency by implementing caching strategies (Redis/LRU), utilizing webhooks instead of polling, selecting the optimal speech model based on needs, and parallelizing batch processing workloads.