Skill UI

A comprehensive go-live checklist for deploying SalesLoft API integrations. It covers essential operational aspects including robust authentication, detailed error handling (401, 429, 5xx), rate limit management, health monitoring setup, data integrity checks (idempotency), and mandatory rollback procedures to ensure reliable production operation.

This bundle provides comprehensive diagnostics for SerpApi, allowing users to collect critical data points such as account status, current credit usage, rate limits, and recent search history. It is indispensable for troubleshooting API integration issues, verifying account health, or compiling detailed information for technical support tickets.

This utility collects comprehensive diagnostic evidence necessary for troubleshooting Webflow integrations and API usage. It automatically gathers crucial data points into a single, support-ready diagnostic bundle. Key metrics include the Webflow SDK version, API token validation status, rate limit headers, site connectivity reports, CMS health checks, and recent error logs, significantly streamlining the technical support process.

Provides a comprehensive checklist and technical guidelines for safely deploying Webflow Data API integrations to a production environment. Covers critical areas like token security, rate limit management, implementing circuit breakers, setting up health checks, and handling various API errors to ensure reliable, high-availability service.

This guide details how to extend the Webiny CLI by adding custom commands using the `CliCommandFactory` pattern. Developers can define command structures, handle typed parameters, and implement custom logic for various tasks, including data migration, code generation, deployment scripting, or system health checks. It covers command definition, parameter handling, and formatted terminal output using the `Ui` service.

A comprehensive tool for BizOps and VMO operators to conduct proactive, multi-dimensional vendor performance audits. It scores SaaS and third-party vendors using weighted criteria (reliability, security, support), tracks SLA compliance to identify potential credit claims, and classifies third-party risk across critical vectors (data, financial, regulatory). Ideal for quarterly vendor health checks and defensible renewal recommendations.

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 a comprehensive, data-driven Customer Health Scorecard for any account. It assesses renewal risk, expansion potential, and overall account vitality by scoring five key dimensions: Product Adoption, Engagement, Outcomes, Support Health, and Commercial status. The output provides a weighted score (out of 100) and a RAG status (Red, Amber, Green), guiding Customer Success Managers and leadership on immediate risks and recommended actions.

This tool analyzes historical sprint velocity data to generate a comprehensive engineering team health report. It moves beyond simple charts by diagnosing underlying delivery patterns, identifying risks like chronic over-commitment, and assessing story point calibration. The report provides actionable recommendations for improving capacity planning and team predictability.

A static analysis tool that audits SQL code for common cost and performance anti-patterns (e.g., full-table scans, Cartesian joins). It calculates a query health score (0-100) for data warehouses like BigQuery, Snowflake, and Redshift, providing a prioritized, actionable plan with concrete fixes and estimated cost savings. Essential for FinOps and data quality assurance.

Utilize this skill to assess the health, adoption, and performance metrics of published EAS Updates directly via the CLI. It reports critical data points including crash rates, unique user counts, install volumes, payload size, and the split between embedded and OTA users, making it essential for post-publish monitoring and regression detection.

This skill integrates with Monte Carlo's observability platform to provide a comprehensive health report for data assets. It checks critical metrics including data freshness, active alerts, monitoring coverage, asset importance, and the health of upstream dependencies. Activates when users inquire about the status, reliability, or quality of a data table.