skiller

Coordinates forge and review processes to automate AI skill development and refinement.

Updated May 15, 2026

Search Tags:#automation #workflow #quality assurance #agent development #skill management

Ready to run

npx skills add https://github.com/j-show/ai-everything --skill skiller-j-show

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: skiller
Source: https://github.com/j-show/ai-everything/tree/main/skills/skiller
Command: npx skills add https://github.com/j-show/ai-everything --skill skiller-j-show

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the challenge of maintaining high-quality, consistent AI agent skills by automating the creation, review, and iterative refinement process.

Core Features & Use Cases

Automated Forge: Orchestrates the initial creation of new skills based on user requirements.
Quality Review Loop: Enforces a strict review-and-fix cycle to ensure skills meet operational standards before delivery.
Use Case: Use this to build a new custom skill from scratch, ensuring it passes all architectural and functional checks through an automated audit process.

Quick Start

Invoke the skiller skill with the requirement to create a new documentation helper for the current project.

Frequently Asked Questions about skiller

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

FAQPage Schema

How do I automate AI agent skill creation and ensure quality compliance?▼

Automated skill creation enforces quality compliance by orchestrating an end-to-end development lifecycle with an automated forge and strict review loop. It manages iterative refinement through audit checks and suggestion-based patching to ensure installed plugins meet architectural standards.

What is an automated review loop for agent skill development?▼

An automated review loop for agent skill development is a strict review-and-fix cycle that enforces operational standards before delivery. It iteratively refines the skill codebase through automated audits and applies suggestion-based patching until compliance is achieved.

How do I enforce architectural standards for installed agent plugins?▼

You can enforce architectural standards for installed agent plugins by running an automated audit process that checks operational requirements. This quality assurance loop identifies compliance issues and applies suggestion-based patching to refine the skill codebase.

Can I build a custom agent skill from scratch and automatically fix audit errors?▼

Yes, you can build a custom agent skill from scratch and automatically fix audit errors through an orchestrated forge process. It generates the initial skill codebase and iteratively applies suggestion-based patches during the review loop until all functional checks pass.

Does the skiller skill require any external dependencies for workflow automation?▼

No, the skiller skill operates without external dependencies to automate the workflow for agent skill development. It internally orchestrates the forge, audit, and patching processes to manage the complete lifecycle and quality assurance of installed agent plugins.

When should I use automated skill management instead of manual codebase refinement?▼

You should use automated skill management instead of manual codebase refinement when you need to maintain high-quality, consistent agent plugins at scale. It solves the challenge of enforcing strict architectural compliance and operational requirements through an automated audit loop.