gbrain-skillify

Use an 11-axis skill decision framework to evaluate if a workflow is suitable for skillification, checking for repetitive workflows and cross-project applicability. This structured gate prevents unnecessary automation and ensures reliable skill creation.

The best way to build an AI skill is to first run an existing skill audit to check for duplication, then follow a structured skill development guide covering frontmatter setup and description contracts. This maintains a clean inventory and prevents redundant efforts.

To avoid anti-patterns during skill development, follow established best practices and guidelines for writing effective skills, including structured frontmatter setup and cross-modal evaluation. This educational framework prevents future issues and ensures workflow automation reliability.

Yes, a structured process is required for cross-project skill creation to ensure efficiency and reliability. The skillification framework provides step-by-step instructions for skill development, including frontmatter setup and description contract guidelines.

Automated skillification is limited when workflows lack repetitive patterns or clear cross-project applicability. The 11-axis gate evaluates suitability for decision-making processes, preventing unsuitable workflows from being converted into ineffective skills.

Yes, workflow automation is suitable for repetitive cross-project tasks. The skillification framework uses an 11-axis gate to evaluate suitability, providing a structured process to convert these repetitive workflows into reliable, effective skills.