skill-optimizer

To optimize an existing skill without contract drift, freeze the baseline I/O and trigger boundaries, then apply proposal-driven, gated experiments that collect before and after evidence to validate changes before keeping or reverting them.

Skill contract preservation is the process of documenting and freezing original trigger boundaries, inputs, and user expectations before making changes, ensuring reliability improvements do not alter expected behavior.

Validate skill optimization changes by running gated, single-lever experiments that compare frozen baseline contracts against proposed improvements, requiring explicit before and after evidence checks before approving modifications.

Yes, you can improve skill reliability without a full rewrite by diagnosing specific maintainability opportunities, proposing hypothesis-driven improvements, and testing them reversibly against a frozen baseline contract.

Use a gated approval process for skill risk management when trigger boundaries or user expectations may shift during optimization, requiring upfront documentation and testable validation to prevent uncontrolled drift.

Skill optimization handles shifting trigger boundaries and inputs by explicitly documenting the original contract upfront, then applying reversible, hypothesis-driven changes validated by structured audits and evidence checks.