skill-authoring

Create persistent AI agent skills with YAML frontmatter in DevHive.

18|4|Updated Apr 3, 2026
One-click install
npx skills add https://github.com/DevHive1/DevHive-Cli --skill skill-authoring-devhive1
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-authoring
Source: https://github.com/DevHive1/DevHive-Cli/tree/main/skills/skill-authoring
Command: npx skills add https://github.com/DevHive1/DevHive-Cli --skill skill-authoring-devhive1

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the problem of repetitive task configuration by allowing you to codify your own workflows, instructions, and procedures into persistent, reusable skills.

Core Features & Use Cases

  • Knowledge Persistence: Save complex instructions or specific project workflows so the AI remembers them across different sessions.
  • Workflow Standardization: Create consistent procedures for tasks like code reviews, documentation, or environment setup.
  • Use Case: If you frequently perform a specific security audit on your code, use this skill to define a custom audit procedure that the AI can execute on command in any future session.

Quick Start

Use the skill-authoring skill to create a new skill named code-review that outlines your preferred checklist for pull request analysis.

Frequently Asked Questions about skill-authoring

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

FAQPage Schema
How do I create reusable AI agent workflows for repetitive tasks?

You can create reusable AI agent workflows by codifying your instructions into persistent skills using a specified YAML frontmatter structure and placing them within the agents/skills directory hierarchy for future execution.

Can I save custom project procedures for AI to use across different sessions?

Yes, you can save custom project procedures for AI to use across different sessions. This knowledge persistence feature allows the AI to remember complex instructions and specific workflows without requiring repetitive task configuration.

How do I standardize code review workflows for automated execution?

You can standardize code review workflows by defining a custom skill that outlines your preferred checklist for pull request analysis. The AI will then execute this standardized procedure on command in any future session.

Do I need specific directory placement to save AI agent skills?

Yes, specific directory placement is required. You must save your custom procedures and instructional sets within the agents/skills hierarchy and adhere to the specified YAML frontmatter structure to ensure proper skill management.

What are the limitations of using YAML frontmatter for workflow automation?

The workflow automation requires strict adherence to the specified YAML frontmatter structure and directory placement within the agents/skills hierarchy. Failure to meet these structural requirements will prevent the AI from loading and executing your custom procedures.