๐Debugging Skills
Browse the best Debugging skills for Claude Code, Codex, Cursor and other AI agents.
989 skills ยท Page 3 of 42
debug
Systematically analyze and fix bugs, errors, and unexpected behavior. Use when the user reports bugs, error messages, crashes, test failures, unexpected behavior, or performance issues.
debugging-systematic
Expert systematic debugging through root cause analysis. Reflects on 5-7 possible sources, distills to 1-2 most likely causes, adds strategic logging to validate assumptions, and confirms diagnosis before fixing. Uses MCP servers for database validation. Use when troubleshooting errors, debugging issues, investigating bugs, analyzing problems, or when user mentions error, bug, not working, broken, or debugging.
debugging-assistant
Proactively diagnose and fix code bugs. Use when errors occur, tests fail, or performance issues arise. Analyzes stack traces, identifies root causes, and provides working fixes.
debugging
Auto-triggered debugging skill for bug/issue diagnosis and fix. Runs systematic root cause analysis, unit tests, deep tracing, and implements fixes.
error-debugger
Analyzes errors, searches past solutions in memory, provides immediate fixes with code examples, and saves solutions for future reference. Use when user says "debug this", "fix this error", "why is this failing", or when error messages appear like TypeError, ECONNREFUSED, CORS, 404, 500, etc.
intelligent-debugger
Comprehensive systematic debugging agent for hunting down complex bugs, root causes, and error propagation across full stack (frontend, backend, APIs, databases). Use when diagnosing errors, troubleshooting issues, analyzing stack traces, investigating bugs, examining logs, debugging performance problems, or tracking down error causes. Also use when users mention debugging, errors, bugs, failures, crashes, exceptions, or unexpected behavior.
error-troubleshooter
Automatically troubleshoot unexpected results OR command/script errors without user request. Triggers when: (1) unexpected behavior - command succeeded but expected effect didn't happen, missing expected errors, wrong output, silent failures; (2) explicit failures - stderr, exceptions, non-zero exit, SDK/API errors. Applies systematic diagnosis using error templates, hypothesis testing, and web research for any Stack Overflow-worthy issue.
error-annihilator
Elite debugging and error-resolution system optimized for Next.js/TypeScript/Supabase stacks. Use when encountering ANY error, bug, or unexpected behavior including API failures, database issues, build errors, runtime crashes, logic bugs, performance problems, or deployment issues. Specializes in cryptic webpack errors, Supabase RLS policies, vector database mismatches, module resolution, API cascades, and multi-error triage. Provides rapid root cause analysis + ranked solution approaches + explanatory insights. Trigger on error messages, stack traces, "why isn't this working", "something's broken", debugging requests, or troubleshooting needs.
systematic-debugging
Structured debugging methodology for investigating and resolving technical issues. Use this skill when debugging any technical problem, investigating errors, or troubleshooting unexpected behavior to ensure root cause analysis rather than symptom treatment.
debugging
Auto-triggered debugging skill for bug/issue diagnosis and fix. Runs systematic root cause analysis, unit tests, deep tracing, and implements fixes.
debugging
Systematic debugging framework ensuring root cause investigation before fixes. Includes four-phase debugging process, backward call stack tracing, multi-layer validation, and verification protocols. Use when encountering bugs, test failures, unexpected behavior, performance issues, or before claiming work complete. Prevents random fixes, masks over symptoms, and false completion claims.
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior - four-phase framework (root cause investigation, pattern analysis, hypothesis testing, implementation) that ensures understanding before attempting solutions
moai-essentials-debug
Advanced debugging with stack trace analysis, error pattern detection, and fix suggestions. Use when delivering quick diagnostic support for everyday issues.
advanced-debugging
State-of-the-art debugging agent with hypothesis-driven analysis, automatic code instrumentation, git worktree isolation, and browser automation. Use when debugging errors, stack traces, unexpected behavior, performance issues, failed tests, race conditions, or hard-to-reproduce bugs.
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior before proposing fixes
fix-bug
Intelligently debug and fix bugs with a repro-first approach. Use when the user reports a bug, unexpected behavior, or asks to fix an issue. Establishes reproducible test cases before fixing.
systematic-debugging
Four-phase debugging framework that ensures root cause investigation before attempting fixes. Never jump to solutions.
debug-issues
Debug bugs and errors using intel-first approach with systematic root cause analysis. Use proactively when errors occur, tests fail, or unexpected behavior appears. MUST trace from symptom to root cause with CoD^ฮฃ reasoning.
methodical-debugging
Systematic debugging approach using parallel investigation and test-driven validation. Use when debugging issues, when stuck in a loop of trying different fixes, or when facing complex bugs that resist standard debugging approaches.
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
debugging
Debugging techniques for Python, JavaScript, and distributed systems. Activate for troubleshooting, error analysis, log investigation, and performance debugging. Includes extended thinking integration for complex debugging scenarios.
debugging
Use when investigating bugs, diagnosing issues, or understanding unexpected behavior. Provides systematic approaches to finding root causes.
debugging
Systematic debugging framework ensuring root cause investigation before fixes. Includes four-phase debugging process, backward call stack tracing, multi-layer validation, and verification protocols. Use when encountering bugs, test failures, unexpected behavior, performance issues, or before claiming work complete. Prevents random fixes, masks over symptoms, and false completion claims.
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes - four-phase framework (root cause investigation, pattern analysis, hypothesis testing, implementation) that ensures understanding before attempting solutions