Standardize ad-hoc scripts into tested skill units via a multi-phase audit.
npx skills add https://github.com/Ninatuzi/gbrain --skill skillify-ninatuzi
Please help me install this Agent Skill. Skill: skillify Source: https://github.com/Ninatuzi/gbrain/tree/main/skills/skillify Command: npx skills add https://github.com/Ninatuzi/gbrain --skill skillify-ninatuzi
This Skill solves the problem of inconsistent, untested, and unreliable agent capabilities by providing a standardized framework to transform raw logic into a robust, verifiable, and "properly skilled" unit of agent capability.
Run the skillify skill to audit and scaffold the current feature into a proper skill unit.
High-intent search queries and answers about installing and using this skill.
To turn raw scripts into production-ready agent capabilities, you apply a multi-phase audit and cross-modal evaluation process that standardizes development, enforces quality gates, and scaffolds ad-hoc logic into robust, testable skill units.
Cross-modal evaluation in quality assurance uses three frontier models to validate output quality before tests are written, ensuring high-quality results through a standardized multi-phase audit and cross-provider quality gates.
You scaffold and test ad-hoc scripts by applying an 11-item checklist that enforces unit testing, integration testing, and cross-provider quality gates, transforming raw logic into documented, testable, and discoverable skill units.
Skillify requires no external dependencies to run its 7-phase checklist, applying a standardized lifecycle to audit, evaluate, and scaffold raw features into properly skilled agent capabilities within the gbrain ecosystem.
The best way to standardize inconsistent and untested agent capabilities is applying a standardized framework that enforces cross-modal evaluation, documentation, and comprehensive testing to transform raw logic into reliable, reusable skill units.
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