super-ralph-wiggum

Automate test coverage improvement by running an AI agent in autonomous loops that identify coverage gaps, write tests, and verify them until target metrics are met. This Skill executes iterative coding workflows using pre-defined templates and progress tracking.

An autonomous coding loop runs the same AI prompt repeatedly until a task is complete, persisting context through files and Git history. It allows AI agents to iterate on code, fix bugs, and implement features without constant human intervention.

Yes, you can use PRD specifications to guide AI feature implementation. This Skill integrates with Product Requirements Documents to ensure autonomous agents prioritize and complete feature development tasks according to defined specifications.

Autonomous AI coding works safely away from the keyboard using Docker sandboxing and progress tracking mechanisms. The Skill supports both human-in-the-loop and away-from-keyboard execution modes to ensure safe iterative code development.

The best way to automate lint fixing and code refactoring is using template-driven autonomous loops. This Skill offers pre-defined workflows for fixing lint errors, generating documentation, and migrating code frameworks by iterating until tasks complete.