Skill UI

A structured methodology for coordinating multiple, simultaneous investigation threads to determine the root cause of complex system failures, performance regressions, or integration bugs. This skill decomposes a large problem into independent tracks (e.g., database, application code, infrastructure), assigns ownership, and manages structured sync points (Continue/Pivot/Converge) to converge on a solution faster than serial debugging. Essential for high-stakes production incident response.

A comprehensive methodology for pinpointing the root cause of complex bugs, regressions, or unexpected behavior in large codebases. Techniques include binary search debugging, Git bisect for tracking regressions across commits, strategic data/control flow logging, component isolation, and advanced breakpoint strategies (conditional breakpoints, watch expressions). Ideal for scenarios where the bug source is unclear or difficult to reproduce.

A comprehensive, four-stage methodology for debugging complex software issues, ensuring that fixes target the root cause rather than merely masking symptoms. This guide mandates rigorous investigation (gathering evidence, tracing data flow), pattern analysis, controlled hypothesis testing, and disciplined implementation via test-driven development. Use this when facing production bugs, test failures, performance degradation, or unexplained system behavior, especially under time pressure.

This comprehensive guide addresses common and complex errors encountered when automating Apple Notes on macOS using JXA or osascript. It covers three major areas: TCC permission denials, AppleEvent communication failures, and iCloud synchronization issues. The document provides a detailed error reference table, root cause analysis, tested fixes, and diagnostic scripts to help developers successfully automate Notes tasks.

This guide provides a quick reference for diagnosing and fixing common errors encountered when using the Intercom API. It details specific HTTP status codes (e.g., 401, 404, 429), their root causes, and actionable solutions, including code snippets for secure API interaction and implementing backoff logic for rate limiting. Essential for developers troubleshooting integration failures.

A comprehensive guide to troubleshooting the most common Algolia API errors, including 400, 403, 404, and 429. This document details the root causes and provides step-by-step fixes for issues related to invalid API keys, rate limits, missing indexes, and data structure validation, ensuring reliable search functionality.

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 guide provides a comprehensive reference for diagnosing and resolving common integration errors encountered when using the AppFolio Stack API. It covers specific HTTP error codes (e.g., 401, 404, 409, 422, 429), detailing the root cause, recommended fixes, and best practices for robust error handling, such as implementing backoff strategies and re-authentication.

This advanced tutor covers a wide range of university-level STEM subjects, including Computer Science, AI/ML, Physics, Chemistry, and Engineering. It moves beyond rote memorization, focusing instead on developing deep conceptual understanding and transferable problem-solving skills. The methodology emphasizes Socratic questioning, first principles reasoning, and diagnosing the root cause of knowledge gaps across disciplines.

A comprehensive guide for diagnosing and resolving common technical errors across various Adobe APIs, including Firefly, PDF Services, and Photoshop. It provides detailed root causes and actionable fixes for common HTTP status codes (e.g., 401, 403, 429), helping developers troubleshoot complex integration issues and authentication failures.

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.

A comprehensive guide for diagnosing and fixing common HubSpot API errors (e.g., 401, 403, 429, 400). It provides real error response bodies, root cause analysis, and actionable code solutions for debugging failed API requests, improving integration reliability, and managing complex CRM interactions.