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Sliky1

@sliky1 source repo

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• 7 skills
• 0 followers
• 16 hours ago last updated

1. ▌
   Lagrangian Core 2 · sliky1

   Augmented Lagrangian for constrained optimization. Handles convex QP, smooth NLP, non-convex NLP, distributed ADMM. Trigger on: constrained optimization, KKT, Lagrange multipliers, ALM, ADMM, multi-start, penalty methods.
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   Lagrangian Core 3 · sliky1

   Augmented Lagrangian for constrained optimization. Handles convex QP, smooth NLP, non-convex NLP, distributed ADMM, Safe RL, multi-objective. Trigger on: constrained optimization, KKT, ALM, ADMM, safe constraints, Pareto front, multi-objective. Also trigger for: shadow prices, sensitivity analysis, infeasibility diagnosis.
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   Lagrangian Core 4 · sliky1

   Augmented Lagrangian for constrained optimization. Handles convex QP, smooth NLP, non-convex NLP, distributed ADMM, Safe RL, multi-objective. Trigger on: constrained optimization, KKT, ALM, ADMM, safe constraints, Pareto front, shadow prices, sensitivity analysis, infeasibility diagnosis, near-infeasible problems.
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4. ▌
   Lagrangian Core 5 · sliky1

   Augmented Lagrangian for constrained optimization. Handles convex QP, smooth NLP, non-convex NLP, distributed ADMM, Safe RL, multi-objective. Trigger on: constrained optimization, KKT, ALM, ADMM, safe constraints, Pareto front, shadow prices, sensitivity analysis, infeasibility diagnosis, near-infeasible problems.
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   Lagrangian Core 6 · sliky1

   Opinionated constrained optimization skill using Augmented Lagrangian Methods (ALM), ADMM, and KKT verification. Enforces step ordering, solver routing, feasibility checks, and adversarial guards that agents skip unprompted. Trigger on: constrained optimization, KKT conditions, Lagrange multipliers, ALM, ADMM, shadow prices, infeasibility diagnosis, safe RL constraints, multi-objective Pareto, Bayesian-optimization hybrids, or any problem with equality/inequality constraints. Also trigger for: sensitivity analysis, near-infeasible problems, non-convex landscapes, adversarial perturbations, or natural language problem specs.
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6. ▌
   Lagrangian · sliky1 bundle

   Constrained optimization skill for maximizing or minimizing objectives under budgets, capacities, safety limits, equality/inequality constraints, and multi-objective trade-offs. Provides model normalization, ALM/ADMM/KKT routing, infeasibility diagnosis, shadow-price interpretation, capability-aware no-tool fallback, and prompt-injection-resistant execution.
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7. ▌
   Lagrangian Core · sliky1

   Augmented Lagrangian method for constrained optimization. Handles convex QP, smooth NLP, and basic non-convex problems. Trigger on: constrained optimization, KKT conditions, Lagrange multipliers, penalty methods, equality/inequality constraints.
   0
   installs