Skill UI

A comprehensive reference guide for diagnosing and fixing common Anthropic Claude API errors, categorized by HTTP status codes (400, 429, 500, etc.). Includes specific error JSON patterns, root causes (e.g., role alternation, rate limits), suggested fixes, and code examples in Bash and Python for effective troubleshooting.

This tool collects comprehensive diagnostic evidence for troubleshooting Anthropic Claude API issues. It gathers critical data such as request IDs, rate limit headers, SDK versions, and connection details. It is essential for generating accurate support tickets or diagnosing persistent API failures.

This guide provides comprehensive troubleshooting for common Attio REST API errors, detailing specific HTTP status codes (e.g., 400, 401, 429, 422). It explains the required error response format, common causes (like invalid scopes or rate limits), and actionable, proven fixes using code examples and best practices.

A comprehensive troubleshooting guide for Abridge clinical documentation integration. Covers common errors in authentication, EHR connectivity, audio streaming, note generation, and FHIR validation. Essential for developers and technical users debugging AI-powered clinical workflows.

This tool collects comprehensive, HIPAA-safe diagnostic data for Abridge support and troubleshooting. It gathers environment variables, connectivity status to Abridge APIs and FHIR servers, recent error logs, and session diagnostics. Essential for filing support tickets or escalating issues to engineering teams.

A comprehensive toolkit for debugging complex Adobe API issues that resist standard troubleshooting. Covers advanced techniques such as IMS token introspection, Firefly async job failure analysis, mapping PDF Services error codes, and deep network-layer diagnostics (DNS, TLS). Essential for resolving difficult, production-level integration bugs.

This guide provides a comprehensive framework for debugging and analyzing AgentCore runtime sessions using CloudWatch Logs Insights. It details advanced techniques like OpenTelemetry (OTEL) span correlation, resolving session IDs to trace IDs, and structuring complex query queries. Use this when investigating agent execution flows, diagnosing tool call failures, analyzing latency, or building detailed behavioral timelines.

This guide details how to set up and test Apify Actors locally using the Apify CLI. It emulates the full platform environment (including datasets, key-value stores, and request queues), allowing developers to run scrapers, test data handling, and debug the entire development lifecycle before deploying to the cloud. Perfect for rapid iteration and rigorous local testing.

A comprehensive debug bundle designed to collect diagnostic evidence from AppFolio property management API integrations. It captures essential data points including API connectivity status for properties, tenants, and work orders; authentication status using client credentials; recent integration error logs; and environment metadata. This allows support engineers to perform root cause analysis and diagnose issues like connectivity failures or authentication rejections without needing live environment access.

This debug bundle collects comprehensive diagnostic data from Apple Notes automation integrations. It captures system compatibility details, TCC permission statuses, account information, folder structure, and iCloud sync status. Use this tool to diagnose common issues like permission denials, sandbox restrictions, and scripting bridge errors that prevent Notes automation from working correctly on macOS.

A comprehensive guide designed to diagnose and resolve common errors and exceptions encountered when using the AssemblyAI API. It covers critical topics such as authentication failures (401), rate limiting (429), transcription status errors, streaming issues, and LeMUR processing, helping users debug and maintain robust data pipelines.

Collects comprehensive diagnostic evidence for support tickets related to AssemblyAI. This utility automates the gathering of runtime environment details, SDK versions, API connectivity checks, and specific transcript statuses, greatly accelerating troubleshooting and issue resolution for speech-to-text applications.