moai-alfred-expertise-detection
Enterprise AI-powered user expertise detection with behavioral analysis, communication pattern recognition, code complexity assessment, Context7 integration, and adaptive response calibration; activates for personalized guidance generation, complexity adjustment, tutorial depth selection, and communication style matching
npx skills add majiayu000/claude-skill-registry --skill moai-alfred-expertise-detection-dolsoon-my-awesome-project-2 --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Enterprise AI-Powered Expertise Detection v4.0.0 ## Skill Metadata | Field | Value | | ----- | ----- | | **Skill Name** | moai-alfred-expertise-detection | | **Version** | 4.0.0 Enterprise (2025-11-12) | | **AI Integration** | ✅ Context7 MCP, behavioral analysis, pattern recognition | | **Auto-load** | Continuous during user interactions | | **Expertise Levels** | Beginner, Intermediate, Advanced, Expert | | **Lines of Content** | 920+ with 14+ production examples | | **Progressive Disclosure** | 3-level (detection, patterns, advanced) | --- ## What It Does Continuously detects and adapts to user expertise level based on behavioral signals, communication patterns, code examples, and interaction history. Enables Alfred to calibrate complexity, example selection, and communication style dynamically. --- ## Expertise Level Framework ### Level 1: Beginner **Characteristics**: - First interaction with tool/framework - Asks about basic concepts - Needs step-by-step guidance - Values examples and analogies **Detection Signals**: - Questions about fundamentals ("What is a hook?") - Copy-paste behavior (not understanding code) - Struggles with terminology - Prefers verbose, explicit examp
- Skill Metadata
- What It Does
- Expertise Level Framework
- Level 1: Beginner
- Level 2: Intermediate
- Level 3: Advanced
- Level 4: Expert
- Continuous Detection Signals
- Signal 1: Terminology Usage
- Signal 2: Code Complexity
- Signal 3: Question Type Patterns
- Signal 4: Error Patterns
- Dynamic Response Calibration
- Content Depth Adjustment
What does the moai-alfred-expertise-detection skill do?
Enterprise AI-powered user expertise detection with behavioral analysis, communication pattern recognition, code complexity assessment, Context7 integration, and adaptive response calibration; activates for personalized guidance generation, complexity adjustment, tutorial depth selection, and communication style matching
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill moai-alfred-expertise-detection-dolsoon-my-awesome-project-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.