By viktorbezdek
Comprehensive debugging skill combining systematic debugging methodology, browser DevTools automation, E2E testing with visual analysis, CI/CD pipeline debugging, performance profiling, and AI-powered error analysis.
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npx claudepluginhub viktorbezdek/skillstack --plugin debuggingBelief-Desire-Intention cognitive architecture for LLM agents. Formal BDI ontology, T2B2T paradigm, RDF integration, SPARQL competency queries, and neuro-symbolic AI integration patterns.
Apply systems thinking principles including feedback loops, leverage points, and system dynamics to analyze complex problems.
Comprehensive prompt optimization system for LLMs. Design effective AI interactions, evaluate prompt quality, and perform iterative refinement for any LLM platform.
Comprehensive Test-Driven Development skill implementing Red-Green-Refactor cycle across Python, TypeScript, JavaScript, and Emacs Lisp. Covers pytest, Vitest, Playwright, ERT, and Zod.
Design content models with types, fields, relationships, and governance rules for structured content systems.
Systematic debugging and root cause analysis framework - four-phase investigation process ensuring understanding before fixes
Debugging specialist for errors, test failures, and unexpected behavior. Use proactively when encountering any issues.
Debug issues systematically with root cause analysis and execution tracing
Four-phase debugging framework that ensures root cause investigation before attempting fixes. Never jump to solutions. Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
Systematic debugging, root cause analysis, log analysis, profiling, binary search debugging, and postmortem analysis.
Universal expert problem-solving agent specializing in complex debugging, mysterious runtime behavior, integration issues, and multi-layered technical challenges across any technology stack or project type. Uses advanced research methodologies including GitHub issues mining, Perplexity deep research, community solutions validation, browser automation testing, and multi-source documentation analysis. Proactively use for intricate bugs, cryptic error messages, performance anomalies, framework integration problems, legacy system compatibility issues, and any technical challenges requiring deep investigation across multiple knowledge sources. Project-agnostic and universally applicable.