Analysis Skills
Analysis skills focus on examining data, code, and scenarios to produce insights and recommendations.
Available Skills
Section titled “Available Skills”| Skill | Purpose | Common Personas |
|---|---|---|
| Data Analysis | Analyze datasets and extract insights | Clara, Franklin |
| Code Review | Review code for quality, bugs, and improvements | Kestra, Ada |
| Financial Modeling | Build and analyze financial models | Clara |
| Risk Assessment | Identify and evaluate risks | All personas |
| Comparative Analysis | Compare options systematically | Goeth, Franklin, Drucker |
Data Analysis
Section titled “Data Analysis”Analyze datasets to extract patterns, insights, and actionable conclusions.
When to Use:
- Processing quantitative data
- Finding patterns and trends
- Supporting decisions with data
Inputs Required:
- Dataset or data source
- Specific questions to answer
- Context for interpretation
Outputs Produced:
- Statistical summaries
- Pattern identification
- Visualizations (described)
- Recommendations
Code Review
Section titled “Code Review”Review code for quality, bugs, security issues, and improvement opportunities.
When to Use:
- Before merging changes
- Security audits
- Performance optimization
- Learning from existing code
Inputs Required:
- Code to review
- Context (what it should do)
- Review criteria (security, performance, style)
Outputs Produced:
- Issue identification with severity
- Improvement suggestions
- Best practice recommendations
Financial Modeling
Section titled “Financial Modeling”Build and analyze financial models for investment, budgeting, or valuation.
When to Use:
- Investment analysis
- Business valuation
- Scenario planning
- Budget projections
Inputs Required:
- Financial data
- Assumptions and constraints
- Scenarios to model
Outputs Produced:
- Model structure and formulas
- Scenario analysis
- Sensitivity analysis
- Risk factors
Risk Assessment
Section titled “Risk Assessment”Identify and evaluate risks across any domain.
When to Use:
- Project planning
- Investment decisions
- System design
- Change management
Inputs Required:
- Context and scope
- Assets to protect
- Known constraints
Outputs Produced:
- Risk identification
- Likelihood × Impact scoring
- Mitigation recommendations
- Residual risk acknowledgment
Comparative Analysis
Section titled “Comparative Analysis”Compare options systematically to support decision-making.
When to Use:
- Choosing between alternatives
- Evaluating trade-offs
- Vendor selection
- Technology decisions
Inputs Required:
- Options to compare
- Evaluation criteria
- Weighting preferences
Outputs Produced:
- Comparison matrix
- Trade-off analysis
- Recommendation with rationale