Skill UI

A comprehensive checklist for ensuring GPU workloads, such as inference services or model training pipelines, are fully prepared for production deployment on CoreWeave. It covers critical MLOps and DevOps aspects including autoscaling, resource limits, security policies, persistent storage validation, monitoring setup, and rollback procedures.

Comprehensive guide for working with Aurora DSQL, a serverless, PostgreSQL-compatible distributed SQL database. This skill covers the full database lifecycle, including schema management, robust data migrations (e.g., MySQL to DSQL), multi-tenant pattern implementation, IAM authentication, and advanced query plan analysis (EXPLAIN ANALYZE). It is essential for developers building scalable, resilient distributed applications.

A comprehensive security tool designed for AI environments (OpenClaw). It functions as an 'antivirus' for AI skills, performing deep audits, scanning skills before installation, and running full security health checks. Its primary goal is to detect vulnerabilities, prevent data leaks, and mitigate privacy risks, ensuring the integrity and safety of the AI workspace.

This comprehensive guide provides a production-grade reference architecture for building robust Text-to-Speech (TTS) and voice applications using the ElevenLabs API. It covers detailed project structure, service layer design (including TTS orchestration, voice management, and caching), configuration handling, and best practices for streaming and multi-model orchestration, ensuring scalability and reliability in a commercial SaaS environment.

This guide provides advanced, deep debugging techniques for complex Figma REST API issues that resist standard error handling. It covers full network tracing (cURL), validating unexpected response shapes (TypeScript), measuring rate limits, and safely chunking large files. Use this when standard troubleshooting fails, or detailed evidence is required for support escalation.

This skill provides comprehensive guidance on optimizing complex integrations with the Figma API to minimize operational costs and prevent hitting rate limits. It covers architectural best practices, such as transitioning from inefficient polling to webhook-driven systems, batching multiple requests, and using parameters like `depth=1`. Essential for building scalable, cost-effective SaaS solutions.

This comprehensive skill provides a framework for load testing and capacity planning of Figma API integrations. Using tools like k6, it helps benchmark API throughput, identify rate limit ceilings (e.g., leaky bucket behavior), and analyze latency under high load. It also outlines advanced scaling strategies—such as request coalescing and staggering—to ensure reliable, high-volume application integration.

A comprehensive reference architecture for building production-grade integrations with the Figma REST API. This guide covers the full design-to-code pipeline, including design token extraction, scalable asset export (icons/images), and robust webhook event handling. Ideal for architects planning new Figma services, establishing project structure, or implementing complex design system workflows.

This guide details advanced patterns for building production-grade fault-tolerant integrations with external APIs, specifically targeting Figma. Learn to implement critical reliability mechanisms such as Circuit Breakers to prevent cascading failures, cached fallbacks for graceful degradation, exponential backoff retries for rate limits, and request timeouts. Use this when your application must remain stable despite external service outages or performance degradation.

This guide details the operational usage limits for Finta's core features, such as investor pipeline records, deal room creation, and AI suggestions. Since Finta lacks a traditional REST API, limits are defined by plan tiers. It provides reference tables and TypeScript examples for implementing usage tracking, robust webhooks retry strategies, and batch processing to ensure smooth scaling and prevent mid-raise disruptions during integrations.

This comprehensive reference architecture details the technical blueprint for managing fundraising operations using Finta CRM. It outlines the integration of core services—including pipeline tracking, deal rooms, and payment gateways (Stripe)—to provide founders and fund managers with end-to-end visibility. The document covers service layer design, caching strategies, event pipelines, and scaling considerations for robust, automated fundraising management.

This guide details strategies to significantly reduce operational costs associated with the Flexport API. It emphasizes replacing inefficient polling mechanisms with webhook-driven updates, implementing smart caching with Time-To-Live (TTL), maximizing pagination size, and setting up robust usage monitoring. Mastering these techniques ensures cost efficiency and scalability for logistics system integrations.