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ai-mcp-garage
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artifact-compile

Analyze input content and plan reusable agent artifacts with progressive disclosure.

Updated Aug 23, 2026
Search Tags:#planning#skills#reference#workflows#artifact#slash-commands#agents-md
One-click install
npx skills add https://github.com/ai-mcp-garage/agent-artifacts --skill artifact-compile
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: artifact-compile
Source: https://github.com/ai-mcp-garage/agent-artifacts/tree/main/skills/artifact-compile
Command: npx skills add https://github.com/ai-mcp-garage/agent-artifacts --skill artifact-compile

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Converts scattered notes, knowledge, or workflows into reusable agent artifacts (skills, slash commands, AGENTS.md), guiding decision-making on what to build and how to structure it.

Core Features & Use Cases

  • Proposes a clear artifact breakdown: AGENTS.md for stable defaults, slash commands for invoked workflows, and skills for multi-step procedures.
  • Supports progressive disclosure to keep context lean while enabling deeper references when needed.
  • Generates a concrete plan and rationale that can be used to bootstrap projects or refactor existing content.

Quick Start

Provide your notes or content and let artifact-compile generate a structured artifact plan.

Frequently Asked Questions about artifact-compile

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

FAQPage Schema
How do I convert scattered notes into reusable AI agent artifacts?▼

To convert notes into reusable AI agent artifacts, you input your content into a compiler that analyzes stability and complexity to generate structured AGENTS.md defaults, invoked slash commands, or multi-step skills.

What is the best way to structure AGENTS.md content versus slash commands and skills?▼

Structuring AGENTS.md content versus slash commands and skills depends on artifact stability and reusability: AGENTS.md holds stable defaults, slash commands handle invoked workflows, and skills manage multi-step procedures.

How do I plan progressive disclosure for AI agent workflows?▼

Planning progressive disclosure for AI agent workflows involves generating a structured artifact plan that keeps core context lean while enabling deeper reference materials when the agent requires more detailed instructions.

When should I create a new skill instead of a slash command for my workflow?▼

You should create a new skill instead of a slash command when your workflow involves complex, multi-step procedures that require high reusability, reserving slash commands for simpler, directly invoked workflows.

Can I use existing project notes to bootstrap an AI agent artifact plan?▼

Yes, you can use existing project notes to bootstrap an AI agent artifact plan by providing the raw content to a compiler that proposes a clear breakdown and rationale for your reusable components.

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