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.

This framework provides comprehensive compliance and security auditing for Cursor IDE usage. It covers major regulations like SOC 2, GDPR, and HIPAA, guiding users through detailed checklists, evidence collection, and remediation steps. It is essential for enterprise teams requiring robust data governance and adherence to strict industry standards.

A comprehensive runbook designed for on-call engineers to manage Databricks incidents, outages, and major job failures. It provides structured procedures for immediate triage, decision tree guidance (covering cluster failures, code errors, and data quality issues), and steps for evidence collection and postmortem documentation, ensuring rapid and systematic incident resolution.

A comprehensive runbook providing systematic procedures for responding to Firecrawl API outages and integration failures. It guides technical teams through triage, diagnosis, and mitigation for common issues (e.g., 401, 429, 5xx errors). Includes steps for fallback implementation, evidence collection, and postmortem documentation to ensure rapid service recovery.

Guides authorized security testers through the Metasploit Framework workflow, from msfconsole basics and module discovery to exploit configuration, payload choice, and post-exploitation evidence collection for comprehensive assessments.

A comprehensive operational runbook for managing outages and errors related to Mistral AI integrations. It provides structured procedures, including severity classification, quick API health checks, decision trees for common errors (401, 429, 5xx), immediate mitigation steps, and post-incident evidence collection and reporting.

A comprehensive workflow for systematically reviewing medical evidence. It allows users to search databases for clinical studies, build curated citation collections, grade evidence using established frameworks like GRADE, and generate professionally formatted, structured reports in academic citation styles (e.g., AMA). Ideal for conducting literature reviews and supporting clinical research. This tool helps transform raw medical data into actionable, structured knowledge.

This comprehensive runbook provides step-by-step procedures for rapidly responding to Perplexity API outages and service degradations. It covers initial triage (checking models, auth, DNS), handling common errors (401, 429, 500/503), implementing fallbacks, and structured post-incident activities, including evidence collection and postmortem documentation.

Automates the collection of comprehensive diagnostic evidence for PostHog support tickets. This bundle gathers runtime environment details (Node, Python versions), SDK versions, API connectivity status to US/EU clouds, feature flag settings, event flow testing results, and redacts sensitive environment variables. It provides a structured, support-ready archive for rapid troubleshooting.

This comprehensive guide provides expertise in conducting ISO 13485 internal audits for medical device Quality Management Systems (QMS). It covers the full audit lifecycle, including risk-based planning, systematic evidence collection, classifying nonconformities (Major/Minor), and managing CAPA verification to ensure regulatory compliance and continuous improvement.

Guides teams through the security incident response lifecycle by classifying attacks, generating containment/remediation playbooks, directing evidence collection, and coordinating post-incident follow-up to minimize damage.

This script automates the collection of comprehensive diagnostic evidence for Vercel deployments. It gathers critical information including deployment state, recent function logs, environment variables, build outputs, and system details into a single compressed bundle. It is essential for preparing detailed support tickets or performing deep-dive troubleshooting when encountering persistent Vercel issues.