interpreting-culture-index

Interpret Culture Index survey and job-behavior data into profiles, team balance, and burnout risk.

Updated May 2, 2026
One-click install
npx skills add https://github.com/ayehiaa/my-travel-assistant --skill interpreting-culture-index-ayehiaa
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: interpreting-culture-index
Source: https://github.com/ayehiaa/my-travel-assistant/tree/main/.agents/skills/interpreting-culture-index
Command: npx skills add https://github.com/ayehiaa/my-travel-assistant --skill interpreting-culture-index-ayehiaa

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill translates Culture Index survey and job-behavior results into clear, role-relevant interpretations so you can understand strengths, development areas, team fit, and burnout risk without misreading absolute scores.

Core Features & Use Cases

  • Individual profile interpretation: Explain behavioral tendencies using distance from the arrow (A, B, C, D) and absolute interpretation for L and I.
  • Survey vs Job analysis for energy and burnout: Compute energy utilization (Job EU / Survey EU × 100), detect stress/frustration signals, and identify behavior modification patterns.
  • Team composition & hiring support: Assess Gas/Brake/Glue balance, flag likely gaps/conflicts, and define hiring profiles.
  • Interview transcript prediction & debrief: Predict traits from interview signals and use that to evaluate candidate role fit (with explicit caveats).
  • Manager coaching & conflict mediation: Convert trait gaps into concrete communication and 1:1 structure recommendations, or mediate friction based on trait-based friction sources.

Quick Start

Provide a Culture Index profile as JSON (preferred) or a CI PDF, then tell the Skill whether you want an individual interpretation, team analysis, burnout detection, or interview debrief.

Frequently Asked Questions about interpreting-culture-index

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

FAQPage Schema
How do I interpret Culture Index survey results for hiring and burnout detection?

Culture Index interpretation uses arrow-relative trait distances and absolute L/I scores to generate profile meaning, team Gas/Brake/Glue balance, hiring guidance, and burnout risk assessment. You can input survey data as JSON or extracted PDFs to analyze energy utilization and behavior modification patterns.

What is energy utilization calculation in Culture Index job-behavior analysis?

Energy utilization calculation in Culture Index analysis computes the ratio of Job EU divided by Survey EU multiplied by 100. This metric detects stress, frustration signals, and behavior modification patterns to assess burnout risk and energy drain in role-specific contexts.

How do I analyze team composition using Culture Index trait data?

Team composition analysis evaluates Culture Index traits to assess Gas, Brake, and Glue balance within a group. This process flags likely behavioral gaps or conflicts and defines targeted hiring profiles to optimize team dynamics and role fit.

Can I use extracted Culture Index PDFs for interview debrief and candidate profiling?

Yes, Culture Index PDFs can be extracted and processed alongside JSON data for interview debriefs. The system predicts traits from interview signals to evaluate candidate role fit, while applying explicit caveats and guardrails against value judgments and stale-data errors.

How does Culture Index trait interpretation handle manager coaching and conflict mediation?

Culture Index trait interpretation converts trait gaps into concrete communication recommendations and 1:1 meeting structures. It mediates friction by identifying trait-based conflict sources, providing actionable coaching guidance without making subjective value judgments.

What are the limitations of Culture Index survey interpretation for behavioral profiling?

Culture Index interpretation includes guardrails against value judgments and stale-data errors to prevent misreading absolute scores. The system requires current survey or job-behavior data and applies explicit caveats when predicting traits from interview signals for candidate evaluation.