sf-debug
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debugging
Systematic debugging methodology with root cause analysis. Phases: investigate, hypothesize, validate, verify. Capabilities: backward call stack tracing, multi-layer validation, verification protocols, symptom analysis, regression prevention. Actions: debug, investigate, trace, analyze, validate, verify bugs. Keywords: debugging, root cause, bug fix, stack trace, error investigation, test failure, exception handling, breakpoint, logging, reproduce, isolate, regression, call stack, symptom vs cause, hypothesis testing, validation, verification protocol. Use when: encountering bugs, analyzing test failures, tracing unexpected behavior, investigating performance issues, preventing regressions, validating fixes before completion claims.
AILANG Debug
Debug AILANG code errors. Use when you encounter type errors, parse errors, or runtime failures in AILANG programs.
hooks-manager
Manage Claude Code hooks for workflow automation. Create, configure, test, and debug hooks that execute at various lifecycle points. Supports all hook events (PreToolUse, PostToolUse, SessionStart, etc.) with examples and best practices.
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
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. | Sử dụng khi gặp lỗi, bug, test fail, không hoạt động, crash, exception, sửa lỗi, debug.
chrome-devtools
Browser automation, debugging, and performance analysis using Puppeteer CLI scripts. Use for automating browsers, taking screenshots, analyzing performance, monitoring network traffic, web scraping, form automation, and JavaScript debugging. | Sử dụng khi: chụp màn hình, tự động hóa trình duyệt, debug web, performance, network.
chrome-devtools
Browser automation, debugging, and performance analysis using Puppeteer CLI scripts. Use for automating browsers, taking screenshots, analyzing performance, monitoring network traffic, web scraping, form automation, and JavaScript debugging.
regex-tester
Test, debug, and explain regular expressions. Visualize matches, generate patterns from examples, and convert between regex flavors.
logs
View Vercel deployment logs. Use when the user says "show logs", "check logs", "vercel logs", or "what went wrong with the deployment".
webapp-testing
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
agent-comms
Send messages to other Claude Code sessions via tmux. Hand off complex debugging context, get second opinions, share detailed technical findings across sessions.
systematic-debugging
Root cause analysis for debugging. Use when bugs, test failures, or unexpected behavior have non-obvious causes, or after multiple fix attempts have failed.
mcp-tool-discovery
Use this skill when you need to discover MCP tool parameters, understand naming conventions, or debug tool call errors
codex-collaboration
Codex CLI integration for code review and consultation. Use when: (1) code needs review before commit, (2) need expert consultation on implementation approach, (3) debugging assistance needed. This skill provides Codex interaction patterns only - workflow orchestration is defined in project CLAUDE.md.
python-performance-optimization
Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.
logging-observability
Guidelines for structured logging, distributed tracing, and debugging patterns across languages. Covers logging best practices, observability, security considerations, and performance analysis.
python-expert-tester
Expert guidance for Python testing that analyzes your existing setup and provides evidence-based recommendations. I'll examine your current tests, configurations, and dependencies before suggesting changes. Use when writing tests, improving coverage, debugging issues, or optimizing testing setup.
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