systematic-debugging
A rigorous, four-phase methodology to enforce systematic root cause analysis before applying any code fixes.
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129 skills found
A rigorous, four-phase methodology to enforce systematic root cause analysis before applying any code fixes.
Language-agnostic debugging framework: scientific method, stack trace analysis, logging strategies, and advanced techniques like Git bisect and rubber ducking.
Diagnose and debug Agent-to-Agent (A2A) communication, including orchestrator routing, transport connectivity, agent status, and log analysis for multi-agent systems.
Validates cross-artifact consistency (spec, plan, tasks) and detects breaking changes (API, DB, UI) during software feature development.
Debug the AWF (Agentic Workflow Firewall) by inspecting containers, analyzing Squid logs, checking iptables, and troubleshooting network or domain access issues in isolated sandboxes.
Advanced multi-language debugging support with stack trace analysis, runtime error triage, and automated diagnostic tools for containerized and distributed systems.
Comprehensive UI testing, visual fidelity analysis, and browser debugging using Chrome DevTools MCP and AI-driven vision models.
Find similar vulnerabilities and bugs across codebases using pattern-based analysis. Use when hunting bug variants, building CodeQL/Semgrep queries, or performing systematic code audits.
Validate test suite effectiveness and uncover weak assertions by introducing code mutations and measuring kill rates. Essential for proving tests genuinely catch bugs rather than just satisfying coverage metrics.
Systematic debugging workflow for Claude Code hooks. Use to troubleshoot non-firing hooks, output errors, or unexpected behavioral issues.
C programming language expert for memory management, systems programming, low-level optimization, and debugging best practices.
Generate incident response timelines and structured report packs from event logs to facilitate efficient detection-to-recovery tracking.