portfolio-optimization
Optimize project portfolio selection under constraints using mathematical optimization
Profile →npx skills add a5c-ai/babysitter --skill portfolio-optimization --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 r
- Overview
- Capabilities
- Optimization Methods
- Multi-Criteria Analysis
- Scenario Analysis
- Portfolio Balancing
- Usage
- Input Requirements
- Output Deliverables
- Example Use Cases
- Process Integration
- Dependencies
- Related Skills
What does the portfolio-optimization skill do?
Optimize project portfolio selection under constraints using mathematical optimization
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill portfolio-optimization --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.