Skill UI

This guide provides methods for robust monitoring and automation tailored for services deployed on Fly.io. It covers key areas including polling the Machines API to detect state changes, implementing comprehensive health check endpoints, processing structured logs using tools like `jq`, and automating deployment notifications within CI/CD pipelines. Essential for achieving high availability and reliable operations.

Executes the comprehensive workflow for claiming Research & Development (R&D) tax credits through Fondo. This skill guides users through qualifying R&D expense calculation, prepares the necessary Form 6765, and manages the payroll tax offset process for startups, potentially saving up to $500,000 annually.

This guide provides comprehensive strategies to optimize financial workflows within the Fondo system. Key areas covered include accelerating the month-end close process through auto-categorization rule setup, streamlining vendor communications with CPAs via batch processing, and implementing efficient data export caching mechanisms. It is designed to help finance teams achieve faster, more accurate, and highly automated financial reporting.

A comprehensive checklist to guide businesses through year-end financial closing, tax preparation, and compliance filing. It verifies the synchronization of data from banking, payroll, and expense platforms, ensuring all integrations are active, records are reconciled, and regulatory requirements are met to prevent missed deadlines or audit risks.

This utility helps manage API rate limits when building parallel integrations with multiple financial providers (Gusto, QuickBooks, Plaid, Stripe). It implements a token bucket algorithm and robust retry strategies to prevent shared-limit conflicts and ensure reliable data synchronization during high-volume processes like month-end reconciliation.

This guide details how to configure Framer's Continuous Integration/Continuous Deployment (CI/CD) pipeline using GitHub Actions. It covers automated testing for Framer plugins (using Vite/vitest), building, and synchronizing content from a CMS to the Framer site. Use this when setting up robust, automated deployment workflows for Framer projects, ensuring content and code changes are reliably published.

A comprehensive guide to production-ready, robust coding patterns for Framer development. This resource covers key areas including type-safe CMS interactions, plugin state management hooks, reusable component architectures, and server API wrappers. Use this when refactoring existing SDK usage or establishing scalable coding standards for complex Framer integrations.

A comprehensive guide designed to diagnose and resolve common technical errors encountered when integrating with the Glean enterprise search API. It covers critical areas such as token type mismatches, indexing pipeline failures, permission restrictions, and rate limiting, providing actionable fixes for maintaining seamless search functionality.

This guide details how to configure Grammarly API integration across multiple environments (Development, Staging, and Production). It ensures API credentials are isolated, style guides are managed per tier, and rate limits are respected. It provides setup instructions for mocking, sandbox testing, and robust deployment workflows.

This skill acts as an intensive sparring partner, rigorously questioning any provided plan, design, or concept. It guides the user through every decision branch, resolving dependencies one by one until a comprehensive and shared understanding is achieved. Ideal for stress-testing ideas, identifying blind spots, and ensuring the robustness of complex projects before implementation.

This guide provides comprehensive solutions for diagnosing and resolving common errors and exceptions encountered while using the Hex data platform. It covers critical areas such as API authentication failures (401, 403), resource not found issues (404), rate limiting, and various run status errors (ERRORED, KILLED). This is essential for debugging failed data requests, optimizing integration workflows, and ensuring stable data analytics pipelines.

Provides a comprehensive checklist for deploying Hex data analytics integrations into production. It covers critical operational best practices, including API key management, rate limit handling, error resilience (circuit breakers, exponential backoff), and robust monitoring strategies. This guide ensures that data pipelines are deployed reliably, minimizing downtime and guaranteeing consistent, high-quality data reporting for go-live scenarios.