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This skill transforms debugging from guesswork into a methodical science by providing Claude with a structured framework for investigating bugs, performance bottlenecks, and memory leaks. It covers every stage of the debugging lifecycle—from creating minimal reproductions and gathering environment data to forming hypotheses and verifying fixes—while offering language-specific guidance for JavaScript, Python, and Go. Whether you are dealing with elusive race conditions in production or profiling a slow API, this skill provides the mental models and technical patterns needed to identify and eliminate the root cause of technical issues across any stack.
