Skill UI

This comprehensive guide covers the principles and implementation steps for building Progressive Web Apps (PWAs). Learn to integrate essential components like Web App Manifests and Service Workers to ensure your web application offers a reliable, fast, and truly offline-capable experience, mimicking the feel of a native mobile app. Ideal for enhancing web resilience and installability.

Guidance for implementing Cloud Firestore in Flutter: selecting the database, configuring offline persistence, designing schemas, querying with filters and pagination, writing batched transactions, indexing, optimizing for scale, and avoiding write hotspots.

Use this skill to correctly set up Firebase Data Connect in Flutter apps. Covers schema and connector design, typed SDK generation, executing queries and mutations, real-time listeners, pagination, offline handling, error recovery, and security rules.

Guidance for integrating Firebase Realtime Database in Flutter apps: data modeling, real-time sync, queries, offline persistence, presence, transactions, fan-out, and security rules. Choose Realtime Database for simple models and low latency or Cloud Firestore for complex querying and scalability.

Provides OpenClaw agents with local persistent memory via MemOS, managing installation, configuration, upgrades, and a memory viewer for secure offline workflows.

Develop and review laboratory automation resources, liquid-handling plans, and offline simulations. Use for PyLabRobot protocols or API questions with explicit operator safety gates for physical execution. Supports hardware-agnostic frontends and device-specific backends for lab automation development.

This guide teaches developers how to implement robust, event-driven architecture patterns with the Anthropic Claude API. It covers two key methods: Server-Sent Events (SSE) for real-time streaming responses, and the Message Batches API for high-volume, asynchronous bulk processing. Use this when building real-time chat features or processing large datasets offline.

A comprehensive setup for creating a fast and reproducible local development loop for building Attio REST API integrations. This guide includes project structure setup, typed client generation, a mock server implementation (using MSW) for offline development, and a full test harness for unit and integration testing. Ideal for developers building complex SaaS integrations.

This advanced skill generates high-quality, natural speech from text entirely offline using the VoxCPM2 model. Supporting 30 languages, it offers three modes: standard text-to-speech, descriptive voice design, and advanced voice cloning from reference audio. All processing runs on the local device (optimized for Apple Silicon), ensuring zero API calls, zero cost, and maximum privacy. Ideal for creating professional voiceovers, podcasts, and video narration without internet dependency.

This comprehensive guide establishes a structured local development environment for integrating with the Navan API. Since Navan does not provide a sandbox, this workflow is crucial for minimizing calls to the production API. It implements token caching to persist access tokens, detailed request logging for debugging, and mock fixtures to allow for reliable, safe offline testing during the development cycle.

A guide to building production-grade, fault-tolerant integrations with Notion. Learn industry best practices for handling API failures, including exponential backoff retries, implementing circuit breakers to prevent cascade failures, utilizing offline caching for graceful degradation, and setting up health checks. Essential for maintaining high system uptime when interacting with the Notion API.

This utility provides a robust local development loop for integrating search APIs (like SerpApi). By caching real search responses into fixtures, developers can test search integrations, write unit tests, and develop features offline without incurring continuous API costs. It includes detailed instructions and code examples for Python and Node.js, ensuring cost-effective and reproducible testing.