Claude Does Not Need More Prompts. It Needs Reasoning Discipline.

Large language models are good at sounding structured. That is not the same as being structured. Ask an AI assistant to "use first principles" and it may produce a confident answer with the phrase "first principles" near the top. Ask it to "red-team this plan" and it may list generic risks. Ask it to "apply OODA" and it may give you four headings without doing the hard part: orienting against assumptions, constraints, and evidence. That failure mode is subtle because the answer looks responsible. It has the right vocabulary. It has the right shape. But the method did not actually control the analysis. I built methodology-toolkit to target that gap. The goal is not to add more clever prompts to Claude Code. The goal is to add a small layer of discipline around non-trivial decisions: classify the problem, choose methods that fit, apply those methods explicitly, verify load-bearing claims, and stress-test plans before they harden into action. Repository: https://github.com/gagharutyunyan1993/methodology-toolkit The Problem: Methodology Theater Methodologies are useful because they constrain attention. First Principles asks you to strip assumptions and rebuild from base facts. ACH asks you to compare competing hypotheses by disconfirming evidence, not by collecting confirmations for your favorite answer. OODA asks you to separate raw observation from orientation, where bias and context do most of the work. Pre-mortem asks you to imagine the plan has already failed so optimism does not screen out obvious risks. When an AI assistant merely names those methods, you get the cost without the benefit. The answer becomes longer, more formal, and more convincing, but not necessarily more correct. That is worse than a short intuitive answer because the structure creates false confidence. methodology-toolkit treats that as the core anti-pattern: If a method is named, its steps must be walked. Not hinted at. Not summarized. Applied. Methodology theater: right vocabulary, no method