npx skills add a5c-ai/babysitter --skill nonlinear-optimization-solver --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.
# Nonlinear Optimization Solver ## Purpose Provides capabilities for solving general nonlinear optimization problems including constrained and unconstrained formulations. ## Capabilities - Gradient-based methods (BFGS, L-BFGS, CG) - Newton and quasi-Newton methods - Interior point methods - Sequential quadratic programming (SQP) - Global optimization (basin-hopping, differential evolution) - Constraint handling ## Usage Guidelines 1. **Starting Point**: Provide good initial guesses 2. **Gradient Information**: Supply gradients when available 3. **Global vs Local**: Choose global methods for multimodal problems 4. **Constraint Handling**: Use appropriate constraint formulations ## Tools/Libraries - IPOPT - KNITRO - NLopt - scipy.optimize
- Purpose
- Capabilities
- Usage Guidelines
- Tools/Libraries
What does the nonlinear-optimization-solver skill do?
Solve general nonlinear optimization problems
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill nonlinear-optimization-solver --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.