What problem does it solve?
Prevents AI coding agents and skills from becoming outdated when your project stack changes, such as renamed files, new modules, or major dependency upgrades, by generating an evidence-based adaptation plan before any writes.
Core Features & Use Cases
- Dry-run, diff-gated adaptation: Reads project state and change evidence to propose exact agent/rule/skill updates without immediately mutating durable artifacts.
- Stale reference repair: Detects deleted or renamed files referenced by installed artifacts and updates or flags those references using grep/diff evidence.
- Lifecycle-driven, verification-first execution: Persists adapt lifecycle state and requires explicit approval before applying changes, then reruns verification to confirm a clean state.
Quick Start
Ask your AI tool to run the adaptation dry-run by saying: "Please run /supervibe-adapt and propose the safest updates based on my current project stack changes."