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shapris
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skill-creator

Generate validated skill packages with SKILL.md templates and zip distribution.

Updated Mar 22, 2026
Search Tags:#template#validation#packaging#scripts#skill#skill-creator
One-click install
npx skills add https://github.com/shapris/svarus-darbas --skill skill-creator-shapris
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/shapris/svarus-darbas/tree/main/.kilocode/skills/skill-creator
Command: npx skills add https://github.com/shapris/svarus-darbas --skill skill-creator-shapris

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Provide a repeatable, standards-driven workflow for creating and packaging modular skills so developers avoid repeated boilerplate, inconsistent metadata, and fragile packaging steps.

Core Features & Use Cases

  • Scaffold templates: init_skill.py generates a SKILL.md template and example resource directories to accelerate skill creation.
  • Validate and enforce metadata: quick_validate.py enforces required YAML frontmatter fields and naming conventions.
  • Package distributables: package_skill.py validates and bundles a skill directory into a zip for distribution.
  • Use Case: Use when onboarding new domain capabilities into an agent, iterating on existing skills, or preparing skills for sharing across teams.

Quick Start

Run the initializer to create a new skill scaffold, update SKILL.md and resources, then run the packager to produce a validated zip file.

Frequently Asked Questions about skill-creator

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

FAQPage Schema
How do I create and package reusable AI skills without writing boilerplate?▼

To create reusable AI skills, use an initializer script to generate a SKILL.md template and resource directories, then apply a packager script to validate metadata and bundle the skill directory into a distributable zip file.

What's the best way to validate metadata in a SKILL.md file before distribution?▼

Validating SKILL.md metadata requires checking required YAML frontmatter fields and naming conventions, which you can automate by running a dedicated validation script to enforce standards before packaging the skill directory.

Do I need external dependencies to scaffold and package modular skills?▼

No external dependencies are required to scaffold and package modular skills, as the workflow uses standalone Python scripts to initialize, validate, and bundle skill directories without additional framework installations.

Can I bundle scripts and reference assets into a single distributable skill package?▼

Yes, you can bundle scripts, references, and assets into a single distributable skill package by running a packaging script that validates the skill directory and compresses it into a zip file for sharing.

When should I use a standardized skill scaffolding workflow for agent extensions?▼

Use a standardized skill scaffolding workflow when onboarding new domain capabilities into an agent, iterating on existing skills, or preparing modular skill packages to share across teams for repeatable automation tasks.

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