Skill UI

This skill acts as the interactive command center for the Freshie ecosystem's CMDB. It tracks plugins, skills, and packs, providing comprehensive health checks, compliance validation, and historical trend analysis across 50 tables. Use it for running discovery scans, auditing compliance grades, querying deep inventory data, or generating detailed status reports.

A comprehensive checklist and guide for securely deploying HubSpot CRM integrations to a production environment. It covers mandatory pre-deployment verification steps (like token scoping and secure storage), implementing robust health check endpoints, configuring critical monitoring alerts (rate limits, 401/429 errors), and executing post-deployment validation scripts to ensure system stability and reliability upon launch.

This guide provides comprehensive, step-by-step instructions for deploying Intercom-powered applications and webhooks to major cloud platforms like Vercel, Fly.io, and Google Cloud Run. It covers secure secret management, configuring platform-specific webhook endpoints, and implementing robust health checks, ensuring seamless and resilient production integration for messaging and support systems.

This skill provides a comprehensive guide to setting up full observability for Intercom integrations. It covers implementing Prometheus metrics (counters, histograms, gauges) to track API request status, latency, and error rates. Furthermore, it demonstrates structured logging using Pino and OpenTelemetry tracing, offering deep, actionable insights into integration health. Ideal for DevOps, backend engineering, and robust system monitoring.

A comprehensive advisor for Hospital IT Managers and Digital Health Leaders. This skill guides digital transformation across the entire healthcare lifecycle, focusing on achieving clinical safety, compliance (HIMSS, ONA, JCI), and maximizing operational value. It covers everything from HIS/PEP integration (MV-SOUL, Tasy) and interoperability standards (FHIR, HL7) to advanced security frameworks (NIST, ISO 27001) and legal compliance (LGPD). Ideal for planning digital roadmaps and ensuring high-availability for life-critical systems.

A structured playbook for diagnosing and resolving critical disruptions within the Navan travel platform. It guides users through severity classification (P1-P4), utilizing built-in AI assistants (Ava), and performing essential API health checks using tools like curl and jq. This runbook ensures a systematic approach to handling failures related to bookings, OAuth tokens, and expense syncing, minimizing downtime and providing clear escalation paths.

A guide to building production-grade, fault-tolerant integrations with Notion. Learn industry best practices for handling API failures, including exponential backoff retries, implementing circuit breakers to prevent cascade failures, utilizing offline caching for graceful degradation, and setting up health checks. Essential for maintaining high system uptime when interacting with the Notion API.

This module provides the core `Logger` abstraction for structured logging within the Webiny API context. It supports multiple logging levels (e.g., debug, info, warn, error), ensuring that developers can record application events and operational data systematically. Using this abstraction helps in centralized logging, which is crucial for debugging, monitoring, and maintaining system health.

A systematic auditor designed to evaluate the resilience and quality of complex AI workflows. It scans across five critical dimensions—Prompt Quality, Context Efficiency, Tool Health, Architecture Fitness, and Safety—providing a scored report and prioritized, actionable remediation steps. Use this tool to find hidden flaws and ensure robustness before deploying any AI agent or system.

A specialized Codex CLI alias designed to check the operational status of the PUA agent or team. This tool reports current active states, corresponding Process IDs (PID), Time To Live (TTL), and identifies stale or inactive records. It is primarily used for system debugging and monitoring agent health via the command line.

This comprehensive workflow analyzes the health status of various AWS resources (EC2, Lambda, RDS, DynamoDB, etc.). It uses AWS CLI to diagnose potential issues by analyzing CloudWatch logs, metrics, and performance data. The process culminates in classifying root causes and generating actionable, tiered remediation plans (Immediate, Short-term, Long-term) to ensure system resilience and stability.

This skill generates structured, professional summaries for clinical case presentations, handovers, and educational documentation. It supports established medical formats like SBAR and SOAP notes, ensuring all necessary components—from subjective complaints to recommendations—are systematically included. Designed for healthcare professionals to improve documentation clarity and facilitate seamless patient transitions. Note: This output is strictly for educational and documentation purposes and must not replace professional clinical judgment.