skild

Manage installation, updates, and publishing of AI agent skills.

111|9|Updated Jan 6, 2026
One-click install
npx skills add https://github.com/Peiiii/skild --skill skild
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skild
Source: https://github.com/Peiiii/skild/tree/main/skills/skild
Command: npx skills add https://github.com/Peiiii/skild --skill skild

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AI teams struggle with distributing, versioning, and lifecycle-managing reusable agent capabilities; Skild provides a CLI-based solution to standardize Skill management across environments.

Core Features & Use Cases

  • Install, update, uninstall, and publish Skills and Skillsets from a registry, repository, or local directory
  • Discover Skills via a unified index and manage them across multiple target platforms
  • Validate Skill structure and coordinate cross-project lifecycles

Quick Start

Run the skild commands to install, update, and publish AI agent skills.

Frequently Asked Questions about skild

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

FAQPage Schema
How do I manage the installation and lifecycle of AI agent skills across multiple projects?

You can manage AI agent skills across projects by using a CLI package manager to install, update, uninstall, and publish them from a registry or local directory. This standardizes skill distribution and coordinates cross-project lifecycles for development teams.

What is a structured frontmatter-driven model for publishing AI agent skills?

A structured frontmatter-driven model for AI agent skills uses standardized metadata to validate skill structure before publishing to a registry. This enforces consistency and enables reliable lifecycle management commands across different development environments.

Can I install AI agent skills directly from a local directory or repository?

Yes, you can install AI agent skills directly from a local directory or repository. The CLI supports installing and updating skills from multiple sources, allowing developers to maintain and discover reusable agent capabilities via a unified index.

Does this skill management approach work for distributing reusable agent capabilities to different target platforms?

Yes, this skill management approach works for distributing reusable agent capabilities across multiple target platforms. It provides a unified index to discover skills and coordinates the lifecycle of agent capabilities across various environments.

What is the best way to version and distribute reusable AI agent capabilities to a registry?

The best way to version and distribute reusable AI agent capabilities is using a CLI-based package manager that validates skill structure and coordinates publishing workflows to a registry. This solves distribution and versioning challenges for AI teams.