suit-build

Validate SKILL.md components and emit per-harness dist artifacts.

4|Updated Jan 29, 2026
One-click install
npx skills add https://github.com/danmestas/wardrobe --skill suit-build
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: suit-build
Source: https://github.com/danmestas/wardrobe/tree/main/skills/suit-build
Command: npx skills add https://github.com/danmestas/wardrobe --skill suit-build

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This tool automates the creation, validation, and distribution of skill definitions across a monorepo, ensuring consistency between SKILL.md frontmatter and per-harness output.

Core Features & Use Cases

  • Schema validation enforces that every SKILL.md frontmatter and body conform to the shared schema, catching issues early.
  • Per-target emission compiles components into dist/<target>/ artifacts ready for each harness such as Claude Code, APM, Codex, Gemini, Copilot CLI, and Pi.
  • Scaffolding & bootstrap supports initializing new components and updating existing ones with standardized frontmatter and structure.

Quick Start

Invoke the build tool to validate all components and emit per-harness artifacts.

Frequently Asked Questions about suit-build

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

FAQPage Schema
How do I validate SKILL.md frontmatter in a monorepo?

Schema validation automatically enforces that every SKILL.md frontmatter and body conforms to the shared schema, catching structural issues early before compilation. It checks required fields and versioning metadata.

How do I build skills for multiple AI harnesses from a monorepo?

Per-target emission compiles validated SKILL.md components into distributable dist/<target>/ artifacts. This generates ready-to-use outputs for each harness such as Claude Code, APM, and Codex.

Can I scaffold new skill components with standardized frontmatter?

Scaffolding and bootstrap supports initializing new skill components and updating existing ones. It applies standardized frontmatter and file structure to maintain consistency across the monorepo.

Does this build tool work with Gemini and Copilot CLI targets?

Yes, per-target emission supports compiling validated components into distributable artifacts for multiple harnesses. Supported targets include Gemini, Copilot CLI, Claude Code, APM, Codex, and Pi.

What is the best way to automate skill distribution across different AI platforms?

Automated compilation and schema validation pipeline processes SKILL.md files to emit per-harness outputs. This enforces frontmatter presence and generates distributable artifacts across all configured targets.

Why does schema validation fail when compiling skill definitions?

Schema validation fails when SKILL.md frontmatter or body content does not conform to the shared schema requirements. Enforcing frontmatter presence and running schema checks early catches missing or malformed fields.