Skill UI

This guide walks users through verifying the complete setup of their Fondo account. It covers essential financial checks, including synchronizing bank transactions, reviewing automated transaction categorization (payroll, software, office), and confirming eligibility and data needed for R&D tax credits. Use this when initially setting up or auditing your core financial data flow.

This guide serves as a diagnostic reference for common Framer errors, covering issues across plugins, components, and Server APIs. It provides detailed causes and actionable fixes for problems like component rendering failures, incorrect API usage, and connection errors, helping developers efficiently debug and resolve integration issues.

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 guide provides advanced techniques to boost Framer API performance. It covers critical optimization areas including batch CMS syncing to prevent timeouts, memoizing expensive React components for better render performance, establishing persistent WebSocket connections, and optimizing image URLs before CMS synchronization. Use this when aiming to improve overall speed and stability of Framer-integrated applications.

A comprehensive checklist designed to guide users through deploying Framer integrations to a live production environment. It covers best practices for plugins, code components, server API synchronization (CMS), and final site publishing, ensuring a thorough and reliable go-live process.

This skill provides a comprehensive guide for analyzing, planning, and executing upgrades of the Framer SDK, plugin API, and migrating between different Framer platform versions. It helps developers detect breaking changes, follow version checks, and manage common migration patterns required when updating the Framer environment.

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.

This guide provides a comprehensive framework for optimizing operational costs within the Glean enterprise search platform. It details best practices for content governance, including filtering stale drafts and limiting document sizes, optimizing data source connectors, and implementing incremental indexing strategies. Implementing these measures helps minimize indexing volume and usage fees, maximizing search value while maintaining cost efficiency.

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.

This module provides production-ready patterns for interacting with the Glean enterprise search API. It features a typed client, implementing singleton patterns and robust mechanisms for search and indexing. Key patterns include batch pagination, comprehensive error handling (e.g., retries for rate limits), and a fluent request builder for executing complex, reliable API calls.

A comprehensive guide detailing security best practices for integrating and managing enterprise search with Glean. It covers critical topics such as indexing token management, validating webhook signatures, implementing input validation using Zod, and techniques for data redaction, ensuring that sensitive information is protected across the entire search lifecycle.

Skills this deployment guide covers building, configuring, and deploying a containerized Grammarly writing assistant service. It provides detailed instructions for production setup, including Docker configuration, environment variable management (for OAuth credentials), health checks, and zero-downtime rolling updates when integrating Grammarly's Text API for grammar, clarity, and tone checking.