Define standardized AI skill structures with YAML frontmatter and Markdown instructions.
npx skills add https://github.com/Largo2z9/phantomos --skill skill-name-largo2z9
Please help me install this Agent Skill. Skill: skill-name Source: https://github.com/Largo2z9/phantomos/tree/main/.skills/skills/_TEMPLATE Command: npx skills add https://github.com/Largo2z9/phantomos --skill skill-name-largo2z9
This Skill provides a standardized framework for defining AI agent capabilities, reducing inconsistency when creating new skills with discoverable metadata and operational instructions.
Use the skill template to create a new AI skill definition with the required metadata and workflow sections.
High-intent search queries and answers about installing and using this skill.
To create structured AI agent skills, use a standardized template requiring YAML frontmatter and Markdown instructions to define consistent metadata, permissions, and workflow sections for reliable skill discovery and activation.
Required metadata for AI agent skill discovery includes standardized skill names, descriptions, models, access rules, and execution pipelines defined in YAML frontmatter, ensuring new capabilities are predictable and easily activated.
Standardize workflows and templates for reusable AI agent behaviors by defining required frontmatter, operational instructions, and output conventions in a structured Markdown format to ensure consistent capability design.
You need a structured template for designing new AI capabilities when building agent behaviors that require a predictable directory structure, consistent metadata, and clear activation instructions to avoid operational inconsistency.
Yes, this skill structure allows you to define execution pipelines and access rules within the standardized YAML frontmatter, providing clear operational boundaries and metadata for newly created AI agent capabilities.
The best way to document operational instructions for AI agent skills is using structured Markdown combined with YAML frontmatter, ensuring all workflow sections, permissions, and output conventions are clearly defined and discoverable.
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