agent-expert

Standardize SKILL.md frontmatter and shared references for Claude Code and Copilot.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/jeff-hamm/ai-tools --skill agent-expert-jeff-hamm
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-expert
Source: https://github.com/jeff-hamm/ai-tools/tree/main/src/skills/agent-expert
Command: npx skills add https://github.com/jeff-hamm/ai-tools --skill agent-expert-jeff-hamm

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Cross-platform AI agent artifact mechanics knowledge base that standardizes how Claude Code and VS Code Copilot discover, load, and compose agents, skills, hooks, and instructions.

Core Features & Use Cases

  • Progressive disclosure, rule-file frontmatter conventions, and dual-authoring guidance for cross-platform artifacts.
  • Clear tool-name mapping and memory/self-modification patterns to enable safe, maintainable agent ecosystems.
  • Use cases include building cross-platform skills, subagents, and instructions that work in both Claude Code and Copilot environments.

Quick Start

Read this SKILL.md to understand how to implement cross-platform agent artifacts and apply dual-file authoring for Claude Code and Copilot.

Frequently Asked Questions about agent-expert

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

FAQPage Schema
How do I build AI agents that work in both Claude Code and Copilot?

Cross-platform AI agents are built using dual-authoring workflows that standardize SKILL.md frontmatter and shared references, allowing Claude Code and Copilot to discover and load the same artifacts. This Skill provides the tool-name mapping and discovery rules needed for that process.

What is progressive disclosure for AI agent skills?

Progressive disclosure is an agent mechanics design pattern that incrementally reveals SKILL.md frontmatter conventions and rule-file references. It enables safe, maintainable agent ecosystems by ensuring platforms load only necessary instructions at the right execution stage.

How do I standardize frontmatter for cross-platform AI instructions?

Standardize frontmatter by applying rule-file conventions across the repository to satisfy both Claude Code and Copilot loading requirements. This Skill enforces those frontmatter requirements alongside memory and self-modification safety guidelines.

Does Claude Code use the same tool-name mapping as VS Code Copilot?

No, Claude Code and VS Code Copilot require a clear tool-name mapping to function together. This Skill standardizes the dual-authoring workflows and tool-name mapping needed to compose agents, hooks, and instructions across both environments.

When do I need dual-authoring for cross-platform agents and hooks?

Dual-authoring is needed when you want subagents, skills, and instructions to function across both Claude Code and Copilot environments. It applies shared references to standardize artifact discovery, loading, and composition for safe cross-platform execution.

What are the limitations of cross-platform AI agent standardization?

Limitations include maintaining strict adherence to memory and self-modification safety guidelines while satisfying frontmatter requirements. If tool-name mapping is not accurately applied across the repository, Claude Code and Copilot may fail to discover the shared references.