Skill UI

This skill provides a comprehensive guide and implementation for deploying a containerized Fathom AI meeting service. It is designed to handle the processing of meeting transcripts, summaries, and action items via webhooks. The solution includes Docker setup, environment variable management, robust health checks, and detailed steps for implementing rolling updates, ensuring continuous and reliable meeting data synchronization.

A foundational guide to interacting with the Fathom API. This skill demonstrates essential use cases, including listing meetings, fetching detailed transcripts, and retrieving AI-generated summaries and action items. It is ideal for initial API testing, validating connectivity, or understanding the Fathom data response structure.

This module provides robust handling for Fathom API rate limits (60 requests/minute per user). It implements advanced retry strategies (handling 429 errors and server failures) and efficient batch processing to reliably sync large volumes of meeting intelligence, such as transcripts and action items, into external systems like CRMs or project trackers.

This reference architecture provides a blueprint for integrating Fathom meeting intelligence data into enterprise systems. It details the full data pipeline, spanning from initial Fathom recordings via webhooks to structured storage (PostgreSQL), action item extraction, and downstream synchronization with CRMs (like Salesforce/HubSpot) and email systems. Ideal for developers building automated, real-time business process workflows.

This guide provides comprehensive strategies for managing version upgrades and handling breaking changes related to the Fathom AI meeting assistant API. It includes TypeScript examples for detecting schema drift, migrating old transcript formats to new speaker-attributed segments, and implementing robust rollback mechanisms, ensuring stable integration into downstream analytics and CRM systems.

A comprehensive diagnostic tool designed to collect all necessary evidence for troubleshooting persistent Figma REST API issues or preparing detailed support tickets. It automatically tests connectivity, checks rate limit status, captures environment information, and redacts sensitive data, providing a clean, actionable archive for developers and QA teams.

This comprehensive guide details the ten most common mistakes and anti-patterns encountered when integrating with the Figma REST and Plugin APIs. It covers critical topics such as preventing oversized data fetches, managing rate limits, securing tokens, handling color format conversions, and optimizing data sync using webhooks instead of polling. Essential for code reviews and onboarding. Use when reviewing Figma code, onboarding new developers, or auditing an existing Figma integration.

This skill provides a comprehensive guide for deploying a containerized Finta integration service using Docker. It connects to the Finta API to manage critical fundraising data, including tracking fundraising rounds, investor pipelines, and deal flow analytics. The implementation covers environment configuration, health checks, and rolling update strategies, ensuring zero-downtime operation during active fundraising campaigns.

A comprehensive workflow for setting up CI/CD pipelines for Flexport logistics integrations. This tool automates unit testing with mocked data, and executes live API contract validation against the Flexport sandbox upon merging to the main branch. It ensures data transforms and API compatibility across shipment lifecycle events, covering core logistics functions like booking, tracking, and customs documentation.

This comprehensive guide serves as a quick reference for diagnosing and fixing common Flexport API v2 errors. It covers standard HTTP status codes (e.g., 401, 403, 422, 429, 5xx), detailing the causes and providing actionable fixes, including cURL examples and validation best practices. Essential for developers integrating supply chain solutions with Flexport.

This skill provides instructions for deploying Flexport logistics integrations across various cloud platforms, including Vercel, Fly.io, and Google Cloud Run. It is essential for setting up reliable, always-on webhook receivers, shipment tracking dashboards, and background workers necessary for comprehensive supply chain automation services in a production environment.

This guide provides a minimal working example for integrating with the Flexport REST API v2. It demonstrates core logistics operations, including listing shipments, retrieving detailed shipment milestones, and listing associated containers. It is ideal for developers starting a new Flexport integration, testing API connectivity, or learning the basic API patterns.