Automate deterministic code-generation and linting rules with the sayt framework.
npx skills add https://github.com/bonisoft3/iris --skill sayt-code
Please help me install this Agent Skill. Skill: sayt-code Source: https://github.com/bonisoft3/iris/tree/main/plugins/sayt/skills/code Command: npx skills add https://github.com/bonisoft3/iris --skill sayt-code
This skill helps teams define and manage deterministic code-generation and linting rules using the sayt framework, centralizing how templates and configurations are applied across projects.
Create a sample rule using .say.cue to drive code generation and linting with built-in generators.
High-intent search queries and answers about installing and using this skill.
You can enforce deterministic code generation rules by structuring them as an ordered-map pattern that preserves rule order. This approach centralizes template and configuration application, ensuring consistent code quality across multiple services in a monorepo.
Configuring linting and code generation with CUE involves utilizing .say.cue and .say.yaml files to drive the workflows. These CUE-based configuration files manage the validation, generation, and linting processes for your project.
The ordered-map rule pattern is a structure that organizes code-generation rules as a predictable, merge-friendly map. It preserves rule order, allowing teams to manage deterministic code generation and linting rules consistently across projects.
Yes, the framework supports transforming templates and configurations through built-in generators like auto-gomplate and auto-cue. These generators automate the transformation process within your established deterministic code-generation rules.
Standardizing code generation and linting for multiple languages is supported by applying consistent rules across projects. This centralizes how templates and configurations are applied, ensuring consistent code quality across teams regardless of language.
You need .say.cue and .say.yaml files because they are the CUE-based configuration required to drive the generation, validation, and linting workflows. They provide the necessary structure for the built-in generators to process deterministic code rules.
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