npx skills add a5c-ai/babysitter --skill convex-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.
# Convex Optimization Solver ## Purpose Provides capabilities for formulating and solving convex optimization problems efficiently and reliably. ## Capabilities - Linear programming (LP) - Quadratic programming (QP) - Second-order cone programming (SOCP) - Semidefinite programming (SDP) - Conic optimization - Duality analysis ## Usage Guidelines 1. **Convexity Verification**: Confirm problem convexity 2. **Formulation**: Express problem in standard conic form 3. **Solver Selection**: Choose solver based on problem structure 4. **Duality**: Extract dual variables for sensitivity analysis ## Tools/Libraries - CVXPY - Gurobi - MOSEK - SCS - ECOS
- Purpose
- Capabilities
- Usage Guidelines
- Tools/Libraries
What does the convex-optimization-solver skill do?
Solve convex optimization problems efficiently
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill convex-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.