Agent-Skills.md

Agent Skills: Expert-Enhanced Prompt System

Use when user seeks domain-specific expertise shaped by a practitioner's methodology, not just information. The user wants their work approached from a recognized expert's perspective - how would [specific expert] solve this problem, write this code, design this system.

UncategorizedID: xavierchoi/xavierchoi_skills/experts

Repository

xavierchoi/xavierchoi_skills
xavierchoi
12

Install this agent skill to your local

pnpm dlx add-skill https://github.com/xavierchoi/xavierchoi_skills/tree/HEAD/skills/experts

Skill Files

Browse the full folder contents for experts.

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skills/experts/SKILL.md

Skill Metadata

Name
experts
Description
Use when user seeks domain-specific expertise shaped by a practitioner's methodology, not just information. The user wants their work approached from a recognized expert's perspective - how would [specific expert] solve this problem, write this code, design this system.

Expert-Enhanced Prompt System

Apply expert perspectives to elevate work quality.

Output Principle

Execute silently, prove through results.

  • Do NOT output analysis, reasoning, or framework explanations
  • After user selects expert, execute immediately
  • Demonstrate expertise through deliverables, not explanations

Workflow

Analyze (silent) → Present experts → User selects → Execute

1. Analyze Request (Silent)

  • Identify domain, intent, complexity
  • Do NOT output analysis to user

2. Select Expert (User Choice Required)

Present 2-3 experts using AskUserQuestion:

  • header: "Expert"
  • options: name as label, description explains how this expert's perspective will approach the user's specific request (1-2 sentences)

User selects, then proceed to execution.

3. Execute

Execute immediately using selected expert's methodology. No framework explanations or technique listings.

Expert Selection Criteria

  • Proven methodology in the domain
  • Directly relevant expertise
  • Practically applicable

Core Principles

  • Preserve user's original goal
  • Do not expand scope
  • Result quality > process explanation