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Business & Operations
Operations, strategy, finance, sales, support, management, and planning
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Showing 17,521–17,544 of 33,616 skills
- Opal Offline Segment ProtocolPrepare fixed-horizon offline state-action segments for OPAL primitive discovery and downstream latent relabeling.Votes: 0GitHub stars: 247
- Perceptual Latent CompressionValidate LDM autoencoder latent compression contracts, spatial downsampling, regularization metadata, and reconstruction diagnostics.Votes: 0GitHub stars: 247
- Convolutional Spatial SamplingCompute and validate LDM spatial latent-grid sampling plans for high-resolution and dense conditional tasks.Votes: 0GitHub stars: 247
- Anchor Patch ProtocolRoute latent samples through anchor image realism or patch realism for few-shot adaptation.Votes: 0GitHub stars: 247
- Posterior Accuracy MetricsCompute posterior moment accuracy metrics for approximate draws against reference posterior summaries.Votes: 0GitHub stars: 247
- Stan Model ContractExtract a structured contract from simple Stan programs so score-model workflows can identify data, constrained parameters, transforms, model terms, and generated quantities.Votes: 0GitHub stars: 247
- Parameter Transform AdapterApply scalar Stan-style constrained and unconstrained transforms with support checks and log-Jacobian values for bounded real parameters.Votes: 0GitHub stars: 247
- Bbvi Proxy Recovery HarnessRun a bounded mechanism-faithful proxy recovery for Black Box Variational Inference using generated BBVI estimator and optimizer skills.Votes: 0GitHub stars: 247
- Inverse Factorization ContractsBuild and validate ordered inverse factorization contracts for amortized inference networks from generated inverse graph parents.Votes: 0GitHub stars: 247
- Apt Posterior TransformationCompute APT posterior-to-proposal-posterior transformations for Gaussian and finite normalized density settings without importance weighting.Votes: 0GitHub stars: 247
- Rail Representation LossCompute RAIL-KD layerwise and concatenated intermediate representation losses from pooled hidden states.Votes: 0GitHub stars: 247
- Layerwise Distillation AlignmentBuild dynamic teacher-student layer alignments and representation distillation losses for pruned transformer students.Votes: 0GitHub stars: 247
- Lagrangian Sparsity SchedulerCompute CoFi target-sparsity warmup, expected sparsity, and Lagrangian penalty/update diagnostics for pruning runs.Votes: 0GitHub stars: 247
- Reactive Online Decision Problem SolvingDesign, debug, and improve decision policies that must earn immediate or future reward under uncertainty, including reactive or online control, repeated-round learning, exploration, and risk-aware action selection. Use when actions occur in a live sequential process, their feedback changes later choices in the same run or environment, and termination is a horizon, task completion, or decision budget. Do not use for offline output-only AHC or scorer-only optimization across development runs; u...Votes: 0GitHub stars: 247
- Plateau EscapeEscape a root-verified measured plateau or severe score gap in a scored algorithmic, heuristic, or hybrid solver through independent review, method research, and an evidence-gated structural prototype. Use only when the root router admits a verified legal champion. For an interactive or scored heuristic/optimization task, including AHC, first implement and validate its mandatory independent local interactor/checker/scorer under checker-and-local-evaluation, delegating missing implementation t...Votes: 0GitHub stars: 247
- Model And Route AlgorithmsDiagnose and repair a static algorithmic problem model, state, reduction, recurrence, invariant, or proof, then decide whether an exact, constructive, exact-hybrid, heuristic, or scored-hybrid route fits the real bounds. Use as an internal algorithmic-problem-solving recovery route when brute force or a proof premise contradicts the attempted solution, or when the model is trusted but the justified solution class remains unclear. Do not use for hidden-state query design or reward-bearing onli...Votes: 0GitHub stars: 247
- Interactive Problem SolvingSolve or debug information-acquisition tasks where queries or evaluator feedback must reduce uncertainty until a hidden state, answer, or contract is sufficiently determined. Use for interactive problems, output-only tasks with a checker, and custom-judge workflows when the central difficulty is the protocol contract, query design, hypothesis elimination, query budget, transcript behavior, noise, or adversarial feedback. Do not use for offline output-only or scorer-only optimization whose fee...Votes: 0GitHub stars: 247
- Contest Solver EngineeringDiagnose and harden contest or bounded algorithmic solver implementations for compiler and toolchain mismatches, crashes, undefined behavior, overflow, memory-layout failures, TLE or MLE, buffering, serialization, randomness, data-structure invariants, and unsafe deadline handling. Use as an internal algorithmic-problem-solving recovery route after evidence implicates the implementation or target environment rather than the mathematical model, evaluator contract, or search-method design.Votes: 0GitHub stars: 247
- Algorithmic Problem SolvingRecover solutions after a focused attempt lacks a verified full pass or maximum score. MUST invoke and read this skill (1) after 2 non-full submissions, even if high-scoring; (2) after the first non-full candidate for any interactive or scored heuristic/optimization task, including AHC; and (3) before any non-full final delivery. Skip only after verified full pass/full score. For (2), route to an independent local interactor/checker/scorer only on concrete evaluator, legality, scoring, protoc...Votes: 0GitHub stars: 247
- Classification"Use this YOLOv5 sub-skill for image-classification training,Votes: 0GitHub stars: 247
- Cluster Model Selection"Use Yellowbrick clustering diagnostics and model-selectionVotes: 0GitHub stars: 247
- Classifier Visualizers"Use Yellowbrick classification diagnostics for scikit-learnVotes: 0GitHub stars: 247
- Fine Tuning"Prepare and validate XrayGLM supervised multimodal fine-tuningVotes: 0GitHub stars: 247
- Squad Qa"Operate XLNet SQuAD 1.1/2.0 preprocessing, fine-tuning,Votes: 0GitHub stars: 247