Skill UI

This guide provides comprehensive strategies to significantly boost the performance and reliability of applications deployed on Fly.io. Techniques covered include eliminating cold starts (auto-stop/start), right-sizing Virtual Machines based on workload demands, implementing multi-region deployment for low latency, and optimizing connection pooling for databases. Essential for scaling modern SaaS applications.

This skill establishes CI/CD pipelines for complex financial workflows, including expense tracking, budget alerts, and compliance reporting for startup accounting (Fondo). It runs comprehensive unit and integration tests on every pull request and main branch merge, validating data transformation, monitoring filing deadlines, and ensuring live API connectivity to maintain financial data integrity and compliance.

This comprehensive guide details the setup process for the Fondo platform, designed for automated startup bookkeeping, tax filing, and tracking R&D tax credits. Users must connect core financial sources, including payroll providers (e.g., Gusto, QuickBooks), corporate bank accounts (via Plaid), and expense management tools (e.g., Brex, Ramp). Following these steps ensures seamless data synchronization and compliance for US-incorporated businesses.

A comprehensive workflow for developing and testing financial applications integrated with Fondo. It enables developers to simulate or parse real Fondo exports (CSV/Accounting tools) locally, providing a fast feedback loop for building dashboards, calculating R&D credits, and analyzing burn rates without relying on live API connectivity. Supports mock data for rapid iteration and real export parsing for production validation.

This guide provides comprehensive security best practices for developers building with Framer. It covers secure credential management (like API keys and Site IDs), implementing the principle of least privilege, and securing plugins and Server API connections. Use this when auditing your Framer setup or ensuring production-level security for sensitive data handling.

A comprehensive guide to implementing real-time data synchronization and handling event triggers with Framer's API. This skill covers subscribing to CMS changes via WebSockets, implementing secure external webhook endpoints with signature validation, and integrating Framer plugin event listeners for dynamic interaction. Use this when building complex, event-driven web applications connected to Framer.

Automates the CI/CD process for Glean enterprise search connectors. This tool runs comprehensive unit tests with mocked responses on every Pull Request, and executes integration tests against a staging Glean instance upon merging to the main branch. It validates connector data transforms, indexing API calls, and performs search relevance regression testing to ensure high search quality.

This skill governs the secure ingestion and indexing of enterprise documents from diverse connectors (e.g., Google Drive, Confluence, Jira). Key functions include mandatory PII filtering (stripping emails, phones, SSNs) before indexing, preserving strict permission boundaries, and enforcing data retention policies to ensure compliance with global regulations like GDPR and CCPA.

This skill demonstrates the complete workflow for integrating with the Glean platform. It guides users through three core steps: setting up a custom data source using the Indexing API, programmatically indexing documents, and executing advanced search queries using the Client API. This is essential for developers starting new Glean connectors or needing to test their search pipelines.

This comprehensive guide details how to authenticate and configure connections to the Glean enterprise search platform. It covers the distinct setup for the Indexing API (used for pushing data into the search index) and the Client API (used for searching and retrieving results). Essential for developers integrating custom data sources or building advanced search features.

A comprehensive development workflow solution for integrating with the Glean enterprise search API. It enables developers to simulate local search responses, mock data sources, and test custom connectors and UIs without needing a live Glean deployment. Users can toggle between mock mode for rapid iteration and sandbox mode for validation against a real Glean instance, ensuring a fast feedback loop for building robust enterprise search applications.

This tool provides comprehensive observability for enterprise search systems (Glean). It tracks critical metrics such as search latency (p95), zero-result query rates, indexing throughput, and stale content ratios. By monitoring connector sync status and detecting indexing degradation, it allows teams to proactively maintain search relevance and ensure sub-second response times, preventing silent data quality decay.