Skill UI

This script automates the collection of comprehensive diagnostic evidence for troubleshooting issues on the Clay web platform. It systematically tests webhook connectivity, captures environment details (Node, Python, OS), verifies API keys, and gathers recent application logs. The resulting bundle provides all necessary data points for submitting detailed support tickets and accelerating debugging.

A comprehensive, step-by-step checklist and audit script designed for validating Customer.io integrations before going live. It covers credential verification, email deliverability setup (SPF, DKIM, DMARC), API connectivity smoke tests, campaign readiness, and setting up operational monitoring alerts for a smooth, reliable production launch.

Collects comprehensive, sanitized debug evidence for Deepgram support and troubleshooting. This bundle gathers detailed system environment information (Node.js, Python), performs live API connectivity tests, analyzes audio file metadata using ffprobe, and logs request/response data. Essential for preparing detailed support tickets and reproducing bugs related to Deepgram integration.

A comprehensive toolkit for diagnosing and troubleshooting Documenso integration issues. It includes connectivity tests (Bash), TypeScript diagnostics (API key, connection, write access), and debug logging wrappers.Use this to collect detailed diagnostic information necessary for resolving complex API problems and filing accurate support tickets.

This guide details setting up robust Continuous Integration and Continuous Deployment (CI/CD) pipelines for Exa integrations. It covers unit tests, live integration testing using GitHub Actions secrets, and health checks. Use this when automating testing workflows or ensuring Exa API connectivity during builds and release gates.

This tool collects comprehensive diagnostic information for Exa API issues. It generates a structured debug bundle that includes environment details (Node, OS), API connectivity tests, and detailed request/response payloads. Use this bundle when encountering persistent Exa issues and filing a support ticket to ensure quick and accurate troubleshooting by the support team.

This utility automatically collects comprehensive diagnostic data for the Granola application, including system specifications, audio configurations, network connectivity tests, and application metadata. It packages all findings into a single ZIP file for support teams. Use this when preparing a detailed support ticket or troubleshooting complex, persistent issues. The process is designed to collect diagnostic context without exposing sensitive meeting content, transcripts, or private API keys.

A comprehensive utility designed to collect all necessary diagnostic evidence for troubleshooting Ideogram API interactions. It gathers environment details (Node, Python, OS), performs API connectivity tests, captures network information, and packages the results into a redacted tarball suitable for attaching to technical support tickets, ensuring all sensitive data is masked.

A comprehensive diagnostic toolkit designed for advanced troubleshooting of Lindy AI agents. This bundle systematically collects environment information (OS, Python, Node.js), tests API connectivity for webhooks and major integrations (Slack, Notion, Gmail), reviews task history, and guides the user in generating a full, structured support ticket for technical support.

A comprehensive tool designed to collect all necessary diagnostic evidence for troubleshooting Lokalise integration issues or filing support tickets. It gathers environment details (Node, Python, OS), tests API connectivity, lists project metrics, checks upload processes, and collects redacted logs, bundling everything into a single archive.

Automates the Continuous Integration and Continuous Deployment (CI/CD) process for OpenEvidence clinical decision support integrations. This setup ensures that unit tests (using mocked evidence queries and citations) and live API connectivity tests are run automatically on every pull request and merge to main. It validates critical functions like query formatting, evidence parsing, citation extraction, and response quality scoring, maintaining high reliability for medical AI applications.

This tool is designed to collect comprehensive diagnostic evidence for troubleshooting Perplexity API issues. It automatically gathers critical environment details (OS, Node/Python versions), tests API connectivity, and captures redacted configuration settings. The resulting secure bundle is ideal for submitting detailed support tickets or sharing with technical teammates.