Skill UI

A comprehensive checklist for deploying and auditing Figma REST API integrations in a production environment. It covers critical best practices including secure authentication, robust error handling (backoff, retries), rate limit management, continuous monitoring setup, and secure webhook implementation, ensuring a stable and reliable product launch.

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 comprehensive guide outlines essential security protocols for integrating with the Figma API. It covers best practices including securely storing Personal Access Tokens (PATs), implementing least-privilege scopes, managing token rotation lifecycles, and verifying incoming webhook payloads. Use this when setting up, auditing, or maintaining production-grade Figma integrations to ensure data integrity and prevent unauthorized access.

Learn how to implement and handle Figma Webhooks V2 for real-time integrations. This guide covers setting up the webhook endpoint, processing various event types (like file updates, comments, and library publishes), verifying payloads using passcodes, and implementing best practices such as idempotency for robust, event-driven automation workflows.

A comprehensive guide to optimizing the Finta fundraise workflow. This document addresses critical performance bottlenecks, including pagination issues with large investor datasets, latency in multi-stage round data aggregation, and slow CRM synchronization. Optimization strategies cover cursor-based fetching, strategic caching (TTL management), connection pooling, and robust rate limit handling, aiming to reduce pipeline load times by 50-70% and maintain dashboard responsiveness.

A comprehensive checklist designed to verify the production readiness of Finta CRM integrations. It covers critical areas such as API connectivity, robust security protocols, data synchronization (e.g., pipeline stages, financial records), error handling, and monitoring setup. Used by development or operations teams to ensure seamless, reliable, and accurate fundraise operations and investor communication.

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.

This guide establishes a fast, reproducible local development workflow for integrating with Flexport logistics. Since an official SDK is unavailable, it utilizes a typed HTTP client wrapper combined with mock responses. This setup allows developers to quickly set up, test, and iterate on shipment data handling, ensuring robust development cycles without relying on live API access.

This skill provides a comprehensive observability stack for Flexport logistics integrations. It sets up Prometheus metrics for API health tracking, uses structured logging (pino) for debugging, implements OpenTelemetry tracing for latency analysis, and defines actionable Grafana dashboards and alert rules. This ensures reliable, performant, and fully monitored logistics operations.

This skill provides comprehensive CI/CD pipeline setup for Fly.io edge deployments. It automates unit testing on pull requests, deploys to staging environments, and promotes changes to production upon merging to the main branch. It handles Docker builds, uses flyctl for deployment, and includes health checks to ensure service reliability and seamless automated delivery.

A comprehensive guide to managing the full application lifecycle on Fly.io. This workflow covers deploying applications, configuring the environment using fly.toml, managing sensitive secrets, scaling resources across multiple regions, and controlling the application's operational state (including suspension and destruction). Ideal for setting up production-grade, resilient cloud services.

This skill guides users through setting up robust, production-grade infrastructure on Fly.io. It covers creating and connecting to Fly Postgres clusters for reliable data storage, provisioning persistent NVMe Volumes for durable file storage, and configuring private internal networking (6PN) for secure service-to-service communication. It is essential for modern microservices requiring stable databases and persistent state.