Skill UI

This script automates the collection of comprehensive diagnostic evidence for Cohere API v2 troubleshooting. It gathers environment details (Node/Python versions), SDK versions, API connectivity tests, and detailed request/response logs, packaging everything into a single, support-ready bundle for efficient issue resolution.

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.

A comprehensive guide to the three primary architecture patterns for integrating with Figma: CLI scripts, Webhook services, and dedicated plugins. This resource helps developers select the optimal pattern (REST vs. Plugin API) based on whether the use case requires real-time event handling, local automation, or in-editor component interaction. Ideal for planning robust Figma-connected applications like design token synchronization or linting.

This skill provides comprehensive methods for interacting with the Figma API. It covers retrieving and managing comments, accessing version history, and handling sensitive user data. Emphasis is placed on implementing robust privacy controls, PII redaction, data classification, and ensuring compliance with regulations like GDPR/CCPA.

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 checklist for pre-deployment and go-live procedures for Flexport logistics integrations. This guide covers critical areas such as API authentication setup, robust webhook handling (including idempotency and dead-letter queuing), data integrity validation, continuous monitoring setup, and safe rollback strategies when deploying to a production environment.

This guide provides comprehensive instructions for setting up and authenticating Framer development environments. It covers two primary surfaces: the Plugin SDK (for UI running inside the editor) and the Server API (for headless CMS synchronization or CI/CD). Users will learn how to initialize projects, configure environment variables, and connect both client-side and server-side components.

This skill provides a comprehensive workflow for integrating external data sources into the Glean enterprise search platform. It covers setting up custom datasources, performing high-volume bulk document indexing using the Indexing API, and granularly managing document permissions (read/write access) to ensure accurate and secure search results for large organizations. Ideal for data engineers and developers building internal knowledge bases.

A comprehensive debug bundle designed to collect diagnostic evidence from Glean enterprise search integrations. It systematically checks datasource configuration, indexing status, search quality metrics, and connectivity logs. This tool is crucial for troubleshooting complex issues like connector failures, stale indexed data, and permission-based search gaps without needing direct admin console access.

This skill provides a complete solution for deploying Glean custom connectors as scheduled jobs on container platforms (e.g., Cloud Run). It covers building a production-ready Docker image to manage document ingestion, custom data source connectivity, and search query execution. Includes robust health checks and rolling update strategies to ensure continuous, high-availability indexing for enterprise search environments.

A comprehensive checklist designed to validate the deployment, robustness, and security of an enterprise search system powered by Glean. It covers critical areas such as API integration, secrets management, error handling, monitoring, and permissions, ensuring a stable and reliable user experience in a production setting.

This comprehensive checklist guides developers through the necessary steps to deploy a robust and reliable Grammarly API integration in a production environment. It covers critical aspects such as secure credential storage, rate limit handling, implementing text chunking, designing error resilience patterns (circuit breakers, retries), and establishing comprehensive monitoring and alerting systems to ensure high content quality and system uptime.