skillify

Standardize agent capabilities by applying a multi-phase audit and cross-modal evaluation process to raw feature scripts, ensuring deterministic behavior before integration. This enforces an 11-point checklist covering documentation, testing, and resolver integration.

Cross-modal evaluation is a quality gatekeeping process that tests agent tool logic against three frontier models to verify output consistency and high-quality behavior before any tests are written. This ensures deterministic outputs across diverse model providers.

Turn a raw feature script into a resolvable agent tool by invoking an automated skillify audit, which evaluates the logic, generates proper documentation, and locks in deterministic behavior with tests. This transforms raw logic into a robust, production-ready capability.

Yes, verifying agent capabilities requires integration with gbrain evaluation infrastructure to validate logic against documented quality dimensions. This ensures the agent tools maintain deterministic behavior and high-quality outputs across diverse model providers.

The standardized lifecycle requires completing an 11-point checklist and cross-modal evaluation before deployment, which may introduce overhead for rapid prototyping. It is designed for production readiness rather than quick, unverified feature scripting.