Generate native color-space converters and tests from a TypeScript reference.
npx skills add https://github.com/caryden/special --skill color-space
Please help me install this Agent Skill. Skill: color-space Source: https://github.com/caryden/special/tree/main/skills/color-space Command: npx skills add https://github.com/caryden/special --skill color-space
This Skill automates the generation of native color-space conversion code from a formal TypeScript-based specification and verified reference, eliminating manual translation errors and speeding up cross-language implementation.
Generate the full library by selecting all nodes and a target language, then review the generated artifacts.
High-intent search queries and answers about installing and using this skill.
You can generate native color-space converters from a verified TypeScript reference by selecting target languages like Python, Rust, or Go. This ensures deterministic translation with 100% reference-test coverage and explicit provenance headers.
Supported color spaces include srgb, linear-rgb, hsl, hwb, xyz-d65, xyz-d50, lab-d65, lab-d50, lch-d65, oklab, and oklch. Each generated implementation includes tests and provenance documentation from the canonical TypeScript reference.
Yes, the generation process supports subset extraction and progressive disclosure in generated artifacts. This allows you to maintain scope control and generate only the necessary color-space converters for your specific language requirements.
Deterministic translation is ensured by generating language-specific implementations from a canonical TypeScript reference. The process includes 100% test coverage in the reference, explicit provenance headers, and support for multi-hop translation.
Yes, this generates language-specific implementations for TypeScript, Python, Rust, and Go from a canonical reference. It eliminates manual translation errors and provides documentation headers with strict provenance for each target language.
The best way to maintain provenance is generating code from a verified TypeScript reference with explicit provenance headers. This approach supports multi-hop translation and ensures 100% reference-test coverage across all generated artifacts.
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