AIRS_Data_Analysis

fabioc-aloha/AIRS_Data_Analysis

AI Readiness Scale (AIRS): Validated 12-item instrument. 7-phase psychometric validation (N=362): EFA→CFA→Invariance→SEM→Mediation→Moderation→Behavioral. Autonomy-centered UTAUT2 extension (R²=.819). Reproducible Jupyter analysis, intervention protocols, practitioner guidelines.

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Installation

Option 1: Use slash command in Claude Code

/install-skill https://github.com/fabioc-aloha/AIRS_Data_Analysis

Option 2: Clone to skills directory

# Global (all projects)

git clone https://github.com/fabioc-aloha/AIRS_Data_Analysis ~/.claude/skills/AIRS_Data_Analysis

# Project-specific

git clone https://github.com/fabioc-aloha/AIRS_Data_Analysis .claude/skills/AIRS_Data_Analysis

Add MCP server to .cursor/mcp.json:

{
  "mcpServers": {
    "skillz": {
      "command": "npx",
      "args": ["-y", "skillz-mcp", "https://github.com/fabioc-aloha/AIRS_Data_Analysis"]
    }
  }
}

Restart Cursor after adding the configuration.

Option 1: Use Gemini CLI command

gemini extensions install https://github.com/fabioc-aloha/AIRS_Data_Analysis

Option 2: Clone to extensions directory

git clone https://github.com/fabioc-aloha/AIRS_Data_Analysis ~/.gemini/extensions/AIRS_Data_Analysis

Topics

academic-research ai-adoption ai-anxiety behavioral-validation cfa dissertation efa factor-analysis intervention-design measurement-invariance mediation-analysis moderation-analysis organizational-readiness psychometrics reproducible-research scale-development sem structural-equation-modeling technology-acceptance utaut2