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Analyzing Cultural Intelligence | Skills Pool

技能檔案

Analyzing Cultural Intelligence

Analyzes cultural domains (Identity, Norms, Values, Perceptual) using Bayesian reasoning to assess autonomy impact. Use during cultural intelligence investigations when analyzing how cultural patterns enhance or constrain individual choice. Use when user mentions cultural analysis, domain analysis, Bayesian reasoning, autonomy assessment, identity patterns, behavioral norms, cultural values, or perceptual patterns.

adamking770 星標2025年10月27日

職業
分類: 哲學同倫理

技能內容

When to Use

During cultural intelligence investigations (Phase 2: Domain Analysis)
When analyzing cultural patterns' impact on autonomy
When applying Bayesian reasoning to cultural data
User mentions: "cultural analysis", "domain analysis", "autonomy", "identity", "norms", "values", "perception"

Quick Start: Domain Selection

Which domain are you analyzing?

Identity → See reference/domains/identity.md
Norms → See reference/domains/norms.md
Values → See reference/domains/values.md
Perceptual → See reference/domains/perceptual.md

All domains use the Bayesian framework in reference/bayesian-framework.md.

Core Workflow (Plan-Validate-Execute Pattern)

相關技能

快速安裝

Analyzing Cultural Intelligence

npx skillvault add adamking77/adamking77-intelli-zen-skills-analyzing-cultural-intelligence-skill-md

下載 Skill 打開源碼倉庫

作者: adamking77
星標: 0
更新時間: 2025年10月27日
職業

本頁內容

01When to Use 02

Select domain - Identify which domain to analyze (Identity/Norms/Values/Perceptual)

Load domain reference - Read appropriate reference/domains/{domain}.md

Apply Bayesian framework - Use methodology from reference/bayesian-framework.md

Generate analysis - Create domain-specific analysis with probabilities

Validate output - Run validate_domain_analysis.py

Fix issues if needed - Address validation errors

Re-validate - Repeat until validation passes

Bayesian Reasoning Framework (Summary)

Full framework in reference/bayesian-framework.md. Key requirements:

Probability assessments with confidence intervals (e.g., "75-85% confidence")
Competing hypotheses for major patterns
Credibility weighting for sources (high/medium/low reliability)
Explicit uncertainty acknowledgment
Specification of what evidence would change assessment

Domain-Specific Questions

Identity Domain

How do cultural identity requirements enhance individual choice?
How do they constrain individual choice?
What exploitation vectors exist?
What protection mechanisms exist?

(See reference/domains/identity.md for complete framework)

Norms Domain

How do behavioral norms support individual agency?
How do they undermine individual agency?
What authority patterns exist?
What control mechanisms operate?

(See reference/domains/norms.md for complete framework)

Values Domain

How do cultural values align with autonomy principles?
How do they conflict with autonomy?
What cultural leverage points exist?
What value contradictions surface?

(See reference/domains/values.md for complete framework)

Perceptual Domain

How do cultural perceptual patterns enhance autonomy recognition?
How do they limit autonomy recognition?
What perceptual constraints exist?
What enhancement opportunities exist?

(See reference/domains/perceptual.md for complete framework)

Validation

After generating domain analysis, validate structure:

python scripts/validate_domain_analysis.py <analysis_file>

Checks for:

Bayesian probability assessments present
Confidence intervals included
Competing hypotheses documented
Source credibility weighting
All 4 domain questions answered

Output Format

Each domain analysis should include:

Enhancement Factors (with probabilities and confidence intervals)
Constraint Factors (with probabilities and confidence intervals)
Exploitation Vectors (with confidence levels)
Protection Mechanisms (with confidence levels)
Competing Hypotheses (for major patterns)
Source Credibility Assessment

All findings must include Bayesian rigor with specific probability ranges.

Quick Start: Domain Selection

03Core Workflow (Plan-Validate-Execute Pattern)

04Bayesian Reasoning Framework (Summary)

05Domain-Specific Questions

06Identity Domain

08Values Domain

09Perceptual Domain

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