Skill UI

This comprehensive runbook provides structured procedures for diagnosing and responding to critical failures when integrating with the Grammarly API. It covers various incident types, including full API outages, OAuth token expiration, rate limit storms, and suggestion quality degradation. The guide includes severity classification, diagnostic `curl` commands, detailed playbooks, and post-incident documentation steps to ensure service resilience and minimal downtime.

This guide provides a deep dive into migrating from the deprecated Grammarly Text Editor SDK to the current, server-side REST APIs. It details the architectural shift from client-side embedding to modern API calls, covering how to implement Writing Score (v2), AI Detection (v1), and Plagiarism Detection (v1) using secure token authentication.

This skill implements comprehensive observability (metrics, logging, and alerting) for Grammarly API integrations. It monitors critical performance indicators such as text check latency (p95), API error rates, suggestion acceptance rates, and token consumption. Use this setup when establishing robust monitoring systems, tracking real-time API performance degradation, or implementing proactive alerting to ensure consistent, high-quality user experiences in writing and editing flows.

This tool collects a comprehensive diagnostic archive for the Hex platform. It gathers crucial evidence, including API connectivity status, project inventory, recent run histories, data connection health, and current rate limit information. Use this bundle when encountering persistent bugs, preparing detailed support tickets, or troubleshooting complex data flow issues.

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.

This benchmark evaluates Vision-Language Models (VLMs) on detecting potential safety hazards within indoor environments. It uses static camera frames, simulating real-world fixed security camera monitoring. The test covers 40 scenarios across 5 critical categories, including fire/smoke, electrical risks, trips/falls, child safety, and falling objects, providing a rigorous measure of VLM's practical safety inspection capability.

This skill provides comprehensive integration with the Hootsuite API, allowing users to perform deep social media analytics and optimize content sharing. Key functions include retrieving organization analytics, monitoring message performance, tracking social profile metrics, and utilizing Ow.ly for efficient batch URL shortening. It is essential for marketing professionals needing to measure campaign ROI and manage large volumes of content links.

This skill guides users through optimizing their Hootsuite platform usage and subscription costs. It provides detailed comparisons of various paid plans (Professional, Business, Enterprise) and offers actionable strategies, such as minimizing API calls, right-sizing plans based on profiles, and implementing usage monitoring to ensure cost efficiency.

This comprehensive checklist guides the safe and reliable deployment of Hootsuite integrations and social media automation tools into a live production environment. It covers critical areas such as API key management, rate limit handling, implementing circuit breakers, error resilience (retries, timezones), and establishing robust monitoring alerts. Use this before any major launch or system upgrade to ensure continuous, fail-safe content publishing.

This guide provides production-ready, structured code patterns for integrating with the Hootsuite REST API using TypeScript and Python. It includes type-safe API clients, timezone-aware scheduling helpers, and cross-platform content formatting utilities. Ideal for building robust, scalable social media management systems or refactoring existing SDK usage.

This guide details the security best practices for managing and using Hootsuite API credentials and tokens. It covers crucial topics such as secure storage of Client IDs, Client Secrets, and various tokens (Access/Refresh), emphasizing token rotation, implementing least privilege access, and securing OAuth 2.0 workflows in production environments.

Provides comprehensive guidance on integrating with Hootsuite's event system. It covers setting up webhook endpoints, implementing secure signature validation, and handling various social stream events (e.g., message sent, post failure). Users can leverage this for building robust, API-driven integrations within the Hootsuite App Directory, including message status polling.