skills.rest
zMynxx
zMynxxCOMMUNITY
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skill-creator

Create structured AI skill instructions with metadata and output contracts.

Updated Jun 5, 2026
Search Tags:#llm#skills#skill design#frontmatter#agent instructions#ai workflows
One-click install
npx skills add https://github.com/zMynxx/bifrost-with-opencode --skill skill-creator-zmynxx
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/zMynxx/bifrost-with-opencode/tree/main/.opencode/skills/skill-creator
Command: npx skills add https://github.com/zMynxx/bifrost-with-opencode --skill skill-creator-zmynxx

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps AI developers create consistent, discoverable skills by turning repeated workflows and project-specific conventions into structured runtime instruction contracts.

Core Features & Use Cases

  • Skill Design Guidance: Defines activation rules, frontmatter requirements, decision gates, and output contracts for new or updated skills.
  • Quality Standards: Enforces concise LLM-first instructions, proper supporting file usage, and repository-specific skill conventions.
  • Use Case: Create a new coding workflow skill that follows the repository's required structure, metadata format, and operational guidelines.

Quick Start

Use the skill-creator skill to design a new AI skill for a reusable development workflow.

Frequently Asked Questions about skill-creator

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

FAQPage Schema
How do I create structured runtime contracts for LLM agent workflows?▼

To create runtime contracts for LLM agent workflows, define reusable skill instructions using valid metadata, operational sections, local reference organization, and output contract definitions to ensure consistent execution.

What is the best way to design AI skills with clear frontmatter requirements?▼

Designing AI skills with clear frontmatter requires defining activation rules, frontmatter fields, decision gates, and output contracts, turning project-specific conventions into structured instruction sets.

How do I standardize repository-specific AI conventions for new skills?▼

Standardize repository-specific AI conventions by enforcing concise LLM-first instructions, proper supporting file usage, and required structural metadata for new or updated skills.

What frontmatter is required to build reliable LLM skills?▼

Building reliable LLM skills requires valid skill metadata, including defined activation rules, operational sections, and output contracts to establish clear runtime behavior and execution boundaries.

Can I use skill-creator for maintaining existing AI workflows?▼

Yes, you can maintain existing AI workflows by applying it to skill maintenance tasks, updating agent guidance, and enforcing repository-specific AI conventions for modified runtime instruction contracts.

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