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.