moai-alfred-expertise-detection

Classify user expertise from behavioral signals during Alfred sessions.

1|Updated Jul 28, 2025
One-click install
npx skills add https://github.com/kivo360/quickhooks --skill moai-alfred-expertise-detection
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: moai-alfred-expertise-detection
Source: https://github.com/kivo360/quickhooks/tree/main/.claude/skills/moai-alfred-expertise-detection
Command: npx skills add https://github.com/kivo360/quickhooks --skill moai-alfred-expertise-detection

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Alfred determines user expertise level (Beginner/Intermediate/Expert) during a session to tailor responses without reading memory files.

Core Features & Use Cases

  • Real-time signal analysis (request patterns, command style)
  • Adaptive response tuning (verbosity, confirmations, suggestions)
  • Zero memory overhead
  • Continuous refinement over the session

Quick Start

Every request triggers a lightweight expertise assessment. Start with Skill("moai-alfred-expertise-detection") to enable adaptive behavior.

Frequently Asked Questions about moai-alfred-expertise-detection

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

FAQPage Schema
How does real-time expertise detection work in Alfred?

Expertise detection analyzes behavioral signals during your session—command patterns, question style, error recovery, and git activity—to classify you as Beginner, Intermediate, or Expert. Alfred adapts response verbosity, confirmation levels, and suggestions in real-time without accessing memory files.

Can expertise detection adapt responses for debugging and workflow optimization?

Yes. The Skill applies adaptive response tuning across scenarios including SPEC planning, debugging, and workflow optimization. It continuously refines classification within the session based on observable signals to match your skill level.

What behavioral signals does Alfred use to detect expertise level?

Expertise detection observes command usage patterns, question phrasing, how you recover from errors, your interaction with documentation, and git activity. These signals drive real-time classification without requiring memory file access or prior context.

Do I need setup or memory files to enable adaptive expertise detection?

No. The Skill operates with zero memory overhead. Enable it by calling Skill("moai-alfred-expertise-detection") at the start of your session, and it analyzes in-session signals immediately without external configuration.

How does adaptive response tuning change based on expertise level?

Response style adjusts across dimensions: verbosity increases for Beginners with more explanation, Intermediate users get balanced detail with fewer confirmations, and Expert users receive concise output with advanced suggestions and minimal guidance.