plugin-author

Orchestrate plugin asset lifecycles through automated subagent workflows.

2|Updated Mar 19, 2026
One-click install
npx skills add https://github.com/alex-voloshin-dev/ai-skills --skill plugin-author-alex-voloshin-dev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: plugin-author
Source: https://github.com/alex-voloshin-dev/ai-skills/tree/main/plugin/skills/plugin-author
Command: npx skills add https://github.com/alex-voloshin-dev/ai-skills --skill plugin-author-alex-voloshin-dev

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill solves the fragmentation of agentic-dev tooling by providing a unified, high-discipline orchestrator for creating, auditing, and maintaining plugin assets like skills, agents, and rubrics.

Core Features & Use Cases

  • Lifecycle Orchestration: Manages the full lifecycle of plugin assets including creation, refactoring, and migration using specialized subagents.
  • Automated Quality Gates: Enforces strict DEV-REVIEW-QA workflows with automated validation and eval-loop closure for every change.
  • Feedback Integration: Automatically parses and remediates findings from feedback reports to ensure continuous improvement of agentic behavior.

Quick Start

Use the plugin-author skill to create a new skill named my-new-skill with the default interview process.

Frequently Asked Questions about plugin-author

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

FAQPage Schema
How do I orchestrate the lifecycle of AI agent assets like skills and hooks?

Automated lifecycle orchestration manages the creation, refactoring, and migration of AI agent assets using specialized subagents. It unifies fragmented agentic-dev tooling into a single, high-discipline workflow for maintaining plugin architectures.

How does automated quality assurance work for AI plugin development?

Automated quality assurance enforces strict DEV-REVIEW-QA workflows with automated validation and eval-loop closure for every change. It applies eval-first development principles to ensure continuous improvement of agentic behavior before deployment.

What is the best way to automate plugin maintenance and refactoring for AI workflows?

Automated plugin maintenance uses specialized subagents to handle refactoring and migration tasks within the ai-skills plugin architecture. It automatically parses and remediates findings from feedback reports to ensure assets remain high quality.

Do I need specific team protocols to use automated workflow orchestration for agent assets?

Yes, automated workflow orchestration requires strict adherence to team-protocols and satisfies requirements for G7 spawn payloads. You must follow eval-first development practices and maintain compatibility with the ai-skills plugin architecture.

Can I use subagent workflows to create new AI skills with an automated interview process?

Yes, subagent workflows support creating new AI skills through a default interview process. This lifecycle orchestration manages the full creation path while enforcing automated quality gates and DEV-REVIEW-QA validation rules.

Why does automated agent asset management require eval-first development?

Eval-first development ensures every change to agent assets passes automated validation and eval-loop closure before integration. This high-discipline approach prevents fragmented agentic-dev tooling from degrading plugin quality during refactoring.