What problem does it solve? Recurring failures, inefficiency, and quality issues often get patched with temporary fixes that inevitably resurface. This Skill enforces a complete, domain-agnostic optimization methodology that quantifies baselines, finds true root causes, and implements structural mechanisms that cannot be bypassed instead of relying on conventions people forget to follow. ## Core Features & Use Cases - Nine-step methodology: quantified baseline, full problem enumeration, root-cause classification (missing constraint / unenforced constraint / unenforceable constraint), structural solution design, industry solution research, trade-off synthesis, decision-gate plan confirmation, implementation, and measured verification. - Constraint layering: every solution is labeled as system-level (enforceable), process-level (checklist gates), or convention-level (documentation only), with explicit upgrade triggers when convention-level fixes recur. - Verification triad: confirms changes actually took effect via artifact evidence, runtime loading, and observed behavior, then closes the loop by comparing metrics against the original baseline. - Use Case: When a long-running agent workflow keeps stalling despite documented rules, use this Skill to quantify token waste and hang frequency, trace the root cause to unenforceable conventions, and implement broker-level automatic reclamation with budget enforcement. ## Quick Start Use the systematic-optimization skill to analyze why this process keeps failing, quantify the baseline, find the root cause, and propose structural fixes with measurable verification.
