color-pipeline-implementer

Implement and refine the OKLCH color pipeline per spec v0.3.

3|Updated Jan 11, 2026
One-click install
npx skills add https://github.com/claushaas/palette-kit --skill color-pipeline-implementer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: color-pipeline-implementer
Source: https://github.com/claushaas/palette-kit/tree/main/.codex/skills/color-pipeline-implementer
Command: npx skills add https://github.com/claushaas/palette-kit --skill color-pipeline-implementer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Implement or adjust the core color pipeline (parse, normalize, scale, resolve) guided by src/planning/spec-v0.3.md and src/planning/roadmap-v0.3.md.

Core Features & Use Cases

  • Guided implementation of parsing, normalization, base scales, and semantic resolution in the engine according to the v0.3 specification.
  • Incremental guardrails to preserve output contracts such as ResolvedColor and ColorMeta while evolving the pipeline.
  • Use Case: When enhancing color handling to support new spaces or queries, follow the v0.3 docs to ensure consistent behavior.

Quick Start

Implement the parseColor.ts, normalize.ts, and engine modules per the workflow, and validate changes with targeted tests.

Frequently Asked Questions about color-pipeline-implementer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I implement an OKLCH color pipeline end-to-end?

To implement an OKLCH color pipeline end-to-end, you build the parse, normalize, scale, and resolve modules according to spec v0.3. This ensures consistent color space handling and query resolution throughout the engine.

What is color normalization in an OKLCH-based color engine?

Color normalization in an OKLCH-based color engine is the process of standardizing parsed color inputs into a consistent format before scaling. It ensures that all colors adhere to the v0.3 specification for accurate semantic resolution.

How do I add new color spaces without breaking existing resolved color contracts?

To add new color spaces without breaking resolved color contracts, apply incremental guardrails during development. These preserve output structures like ResolvedColor and ColorMeta while you evolve the parsing and scaling pipeline.

Do I need planning docs to build a color pipeline with this approach?

Yes, you need planning docs to build the color pipeline with this approach. The implementation is validated against src/planning/spec-v0.3.md and src/planning/roadmap-v0.3.md to enforce code structure and frontmatter-driven metadata requirements.

What's the best way to structure code for a color parsing and scaling engine?

The best way to structure code for a color parsing and scaling engine is to separate logic into distinct parseColor.ts, normalize.ts, and engine modules. This modular approach enforces safe, incremental changes and targeted testing.