Convert raw features into skill units with cross-modal evaluation and testing.
npx skills add https://github.com/bish-x/bx-gbrain --skill skillify-bish-x
Please help me install this Agent Skill. Skill: skillify Source: https://github.com/bish-x/bx-gbrain/tree/main/skills/skillify Command: npx skills add https://github.com/bish-x/bx-gbrain --skill skillify-bish-x
The Skill solves the problem of creating high-quality, testable, and resolvable units of agent capability from raw features. It helps in cross-modal evaluation to ensure the output meets the required quality standards before writing tests.
Use the 'skillify' command to begin the process of creating a skill for a feature. Follow the phases outlined in the documentation.
High-intent search queries and answers about installing and using this skill.
Converting raw features into testable agent capabilities requires automating the transformation into skilled units. This process uses cross-modal evaluation to ensure quality before writing tests, guiding the creation of scripts, references, and assets for deterministic logic.
Cross-modal evaluation in skill development is a quality assurance mechanism that uses a three-model evaluation process. It ensures the generated skill units meet required quality standards before cementing their behavior with deterministic logic tests.
Writing tests for deterministic logic in AI agent skills involves following guided phases to cover every logic branch. The process ensures thorough testing and proper integration with resolver triggers after cross-modal evaluation validates the initial skill quality.
Yes, gbrain is a required dependency to automate feature to skill conversion. The skillify process relies on gbrain to handle the underlying automation for transforming features and managing components like scripts, references, and assets.
The best way to integrate resolver triggers when developing AI skills is to use an automated conversion process that checks resolution paths. This ensures the feature triggers are clearly understood and properly mapped during the skill creation phases.
Skill development requires a clear understanding of feature triggers because they define the resolution paths for the agent capability. Without clear triggers, the automated conversion cannot properly map features into well-defined, testable skill units.
BasharAmsoDocument UX design processes and generate flow documents for web and mobile features.
ltdrewConvert raw features or scripts into validated Skill Units with frontmatter, tests, and resolver triggers.
beyonaiStandardize agent tool development through multi-phase audits and cross-modal evaluations.
dmedina-devWrite failing tests before implementing code in JavaScript or TypeScript projects.
