Magnus HedemarkandGitHub
f53bddcd7b
* feat(constrained-optimization): add formulation and audit methodology * docs(constrained-optimization): register skill and align trigger metadata * docs(constrained-optimization): route templates and define completion * docs(constrained-optimization): cite solver evidence and applicability
1.5 KiB
Constrained optimization
Make optimization decisions that remain valid when constraints, tradeoffs, and solver limits matter.
Why Install This Skill
Optimization results are easy to misread: a lower score may violate a hard limit, a timeout may be mistaken for infeasibility, and an average from one random run may not survive repetition. This skill gives an agent a disciplined way to state the problem before choosing a method.
It produces reviewable formulation and solution-audit records. The workflow separates feasible candidates from infeasible ones, preserves exact-solver bounds and gaps, and makes multiobjective and stochastic tradeoffs explicit.
What You Get
| Directory | Purpose |
|---|---|
SKILL.md |
Decision workflow, boundaries, and routing |
references/ |
Formulation, solver evidence, Pareto, robustness guidance, and primary-source index |
templates/ |
Formulation and solution-audit records |
evals/ |
Quality cases for common optimization failures |
Quick Start
Start with SKILL.md, then fill templates/formulation-record.md before selecting a solver. Use templates/solution-audit.md to independently verify the returned candidate.
Triggers
- Formulating a constrained optimization problem
- Comparing exact methods, heuristics, or stochastic search
- Reviewing feasibility, optimality gaps, or timeout claims
- Choosing among Pareto tradeoffs or objective priorities
Requirements
No solver, API key, or runtime is required. Named solver operation and statistical modeling remain with their respective skills.