Portfolio Optimization

What it does

The Portfolio Optimization skill provides agents with mathematical optimization and multi-criteria analysis techniques to select and balance project portfolios. It formalizes project attributes, constraints (budget, resources, dependencies), and objectives to produce an optimized set of projects that maximizes portfolio value while respecting operational limits. The skill supports integer programming, efficient-frontier calculations, scenario analysis, and dynamic rebalancing so agents can recommend or simulate portfolio changes with quantifiable trade-offs.

When to use it

Use this skill during annual planning, portfolio reviews, resource-constrained decision cycles, or when you need to run what-if scenarios to understand the impact of changing budgets or dependencies. It is especially useful for product and portfolio managers who must prioritize projects under fixed budgets or limited resources, or for teams that need reproducible, auditable selection logic.

What's included

• Scripts: none detected in the skill directory (has_scripts=false)
• References: none bundled
• Instructions: the SKILL.md spells out supported optimization methods (linear/integer programming), multi-criteria scoring (weighted models, AHP), scenario analysis (NPV/risk), and portfolio balancing workflows. It lists input requirements (project attributes, weights, constraints) and typical outputs (optimized selection, efficient frontier, reports).

Compatible agents

This skill is implementation-agnostic and can be used by agents that support mathematical libraries and constraint solvers (Claude Code, Copilot-like agents with Python/R support, Codex integrations).