portfolio-optimization

Optimize project portfolio selection under constraints using mathematical optimization

509 stars

Best use case

portfolio-optimization is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Optimize project portfolio selection under constraints using mathematical optimization

Teams using portfolio-optimization should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

You only need a quick one-off answer and do not need a reusable workflow.
You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/portfolio-optimization/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/domains/business/project-management/skills/portfolio-optimization/SKILL.md"

Manual Installation

Download SKILL.md from GitHub
Place it in .claude/skills/portfolio-optimization/SKILL.md inside your project
Restart your AI agent — it will auto-discover the skill

How portfolio-optimization Compares

Feature / Agent	portfolio-optimization	Standard Approach
Platform Support	Not specified	Limited / Varies
Context Awareness	High	Baseline
Installation Complexity	Unknown	N/A

Frequently Asked Questions

What does this skill do?

Optimize project portfolio selection under constraints using mathematical optimization

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Portfolio Optimization

## Overview

The Portfolio Optimization skill applies mathematical optimization techniques to project portfolio selection and balancing. It maximizes portfolio value while respecting budget, resource, and strategic constraints, enabling data-driven investment decisions.

## Capabilities

### Optimization Methods
- Apply constraint-based optimization (budget, resources)
- Calculate efficient frontier for risk-return tradeoff
- Support integer programming for project selection
- Model dependency constraints between projects
- Handle mutually exclusive project alternatives

### Multi-Criteria Analysis
- Support multi-criteria project scoring
- Apply weighted scoring models
- Perform pairwise comparison (AHP)
- Normalize heterogeneous criteria
- Calculate composite portfolio scores

### Scenario Analysis
- Perform scenario analysis on portfolio
- Calculate portfolio-level NPV and risk
- Identify project interdependencies
- Generate what-if analysis for portfolio changes
- Model constraint relaxation impacts

### Portfolio Balancing
- Support dynamic portfolio rebalancing
- Optimize resource allocation across projects
- Balance strategic alignment dimensions
- Model risk diversification
- Track portfolio composition metrics

## Usage

### Input Requirements
- Project candidates with attributes
- Scoring criteria and weights
- Constraint definitions (budget, resources)
- Strategic alignment factors
- Project dependencies and exclusions

### Output Deliverables
- Optimized portfolio selection
- Efficient frontier visualization
- Constraint analysis report
- Scenario comparison results
- Portfolio balance scorecard

### Example Use Cases
1. **Annual Planning**: Optimize project selection for budget
2. **Portfolio Review**: Rebalance in-flight portfolio
3. **Strategic Alignment**: Maximize strategic value
4. **Resource Planning**: Optimize under resource constraints

## Process Integration

This skill integrates with the following processes:
- portfolio-prioritization.js
- Resource Planning and Allocation
- benefits-realization.js
- Business Case Development

## Dependencies

- Optimization algorithms (linear, integer programming)
- Constraint solvers
- Financial models
- Visualization libraries

## Related Skills

- SK-009: NPV/IRR Calculator
- SK-011: Benefits Tracking Dashboard
- SK-019: Dependency Mapper

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