Automate iterative optimization of a measurable software metric via git-tracked experiments.
npx skills add https://github.com/dthuy62/kollet-app --skill ck-loop-dthuy62
Please help me install this Agent Skill. Skill: ck:loop Source: https://github.com/dthuy62/kollet-app/tree/main/.opencode/skills/ck-loop Command: npx skills add https://github.com/dthuy62/kollet-app --skill ck-loop-dthuy62
This Skill automates repeated code changes toward a measurable target, so you can improve metrics like coverage, bundle size, lint errors, or performance without manually managing each experiment.
Ask the skill to improve one measurable metric in a defined scope and include the verify command, optional guard command, and iteration limit.
High-intent search queries and answers about installing and using this skill.
Automated test coverage improvement runs repeated git-tracked experiments across a defined file scope, committing changes before verification and reverting discarded ones to preserve history while incrementally raising coverage metrics.
Metric-driven code optimization applies repeated git-tracked experiments toward a measurable target like bundle size or lint errors, comparing each result against the previous best to decide whether changes are kept or discarded.
Yes, bundle size reduction and lint cleanup support a separate regression guard command, ensuring improvements are only kept when the broader project still passes validation alongside the primary metric verification.
You need a defined file scope, a single numeric verify command to measure the target metric, an optional regression guard command, and explicit iteration and delta settings to determine when changes are kept or discarded.
Automated performance tuning commits before each verification run and reverts discarded changes, keeping experiments fully traceable in git history while iteratively improving the measurable performance metric.
Changes are discarded when the numeric verify command shows improvement but the optional regression guard fails, or when the delta between iterations falls below the explicit threshold defined in the iteration settings.
DatTran26Run iterative code changes and measure a numeric metric per iteration.
WesleyMFrederickSquashes Git feature-branch history into a single commit when merging to main.
dthuy62Run autonomous iterative optimization loops for measurable code metrics.
Oruga420Automates continuous single-change experiments to optimize measurable performance metrics.
