Business & Operations

Operations, strategy, finance, sales, support, management, and planning

skills in category: 29,837
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Showing 10,489–10,512 of 29,837 skills

Ai Power ProfilingAMeasuring and modeling power consumption profiles of generative AI workloads for data center infrastructure planning. Use when: GPU power profiling, data center energy modeling, AI workload characterization, infrastructure planning, power measurement methodology, HPC facility design, generative AI training/inference power analysis, or energy-aware computing.businesspythongoVotes: 0GitHub stars: 3
Voice Agent PatternsAVoice AI interaction patterns for building realtime voice agents with reasoning, tool use, and multilingual support. Based on OpenAI's GPT-Realtime model release patterns.businessrustgoVotes: 0GitHub stars: 3
Trapped Ion Portfolio OptimizationAEnd-to-end pipeline for large-scale portfolio selection with cardinality constraints using trapped-ion quantum computers. Use when: executing portfolio optimization on trapped-ion QPU hardware; solving QUBO subproblems via BF-DCQO; decomposing large portfolios via correlation-guided splitting; implementing two-stage post-processing for cardinality constraints; benchmarking quantum vs classical portfolio methods. Keywords: trapped-ion, portfolio optimization, QUBO decomposition, BF-DCQO, corre...businessgitVotes: 0GitHub stars: 3
Tensor Network Neurological PredictorATensor Network Feature Engineering methodology for multi-class neurological disorder prediction from MRI data. Uses tensor network decompositions to extract high-dimensional features from sparse medical imaging. Activation: tensor network MRI, neurological disorder prediction, tensor feature engineering, multi-class brain disorder, MRI tensor decomposition.businesspythonVotes: 0GitHub stars: 3
Stateful Streaming Transformer InferenceAStateful streaming transformer inference methodology with persistent KV cache, Flash Queries prefetching, and multi-tenant continuous-batching for efficient streaming workloads.businessgoperformanceVotes: 0GitHub stars: 3
Spec Driven Agent ArchitectureAWorkflow and architecture patterns for building robust AI agents using Specs, Contracts, and Repository patterns.businesspythongoVotes: 0GitHub stars: 3
Quasi Equivariant MetanetworksAQuasi-equivariant metanetworks for weight-space learning. Use for designing neural architectures that operate on pretrained model parameters, implementing equivariant and quasi-equivariant transformations that respect architectural symmetries while maintaining expressivity. Applicable to feedforward, convolutional, and transformer networks.businesspythongoVotes: 0GitHub stars: 3
Graphflow Llm Agent ServingAGraph-based workflow management paradigm for efficient LLM agent serving using unified directed graphs (wGraph) for dynamic workflow instantiation with KV-cache optimization. Use for LLM agent serving, workflow management, agent serving optimization, agent orchestration, KV-cache management.businessnodeapiVotes: 0GitHub stars: 3
Early Reservoir Evolutionary LearningAEARLY (Evolutionary Algorithm for Reservoir Learning and Yielding) - evolutionary framework for discovering multi-reservoir ESN architectures. Graph-based genomes encode modular ESN topologies, evolves both structure and hyperparameters. Outperforms random search on CogScale temporal tasks, adapts to cross-situational learning. Activation: evolutionary reservoir, ESN topology search, multi-reservoir, temporal learning, modular brain-inspired.businesspythongoVotes: 0GitHub stars: 3
Density Driven Multi Agent ControlAStochastic Density-Driven Optimal Control (D²OC) for multi-agent systems. A rigorous Lagrangian framework for decentralized non-uniform area coverage using Wasserstein distance minimization. Use for: multi-agent coverage control, swarm robotics, distributed optimization, stochastic MPC, area coverage missions with spatial priority. Activation: D2OC, density-driven control, multi-agent coverage, swarm control, Wasserstein distance control.businesspythongoVotes: 0GitHub stars: 3
Cortico Cerebellar Modular RnnACortico-cerebellar modularity as an architectural inductive bias for efficient temporal learning — CB-RNN architecture showing cerebellar-inspired feedforward modules drive learning efficiency while cortical recurrent cores act as fixed reservoirs.businesspythonapiVotes: 0GitHub stars: 3
Agentic Configuration Management AcmAACM framework for governed agentic systems configuration.businesspythongoVotes: 0GitHub stars: 3
Agentic Coding Expertise FrameworkAFramework for analyzing agentic coding sessions based on expertise levels, work modes, and success metrics. Shows domain expertise amplifies AI effectiveness more than coding proficiency.businessgotestingVotes: 0GitHub stars: 3
Task Driven Codesign MultirobotATask-Driven Co-Design (TDCD) methodology for heterogeneous multi-robot systems. Bi-level combinatorial optimization combining MILP and MCTS for robot design, fleet composition, and planning. Use for multi-agent robotics, automated logistics, co-design problems, and hybrid optimization.businesspythongoVotes: 0GitHub stars: 3
Constraint Guided ExecutionAConstraint-guided execution pattern for interpreting natural language plans. Extracted from 'RunAgent: Interpreting Natural-Language Plans with Constraint-Guided Execution' (arXiv 2026-05-05). Applicable to agent task planning, workflow automation, and any system that needs to execute plans under constraints.businesspythongoVotes: 0GitHub stars: 3
Auto Configured Networks ForecastingAAuto-configured neural networks for multi-scale multi-output time-series forecasting. Automated framework for co-designing preprocessing, architecture, and hyperparameters to generate Pareto-optimal forecasting models balancing prediction error and model complexity. Use for: industrial time-series forecasting, multi-source signal processing, autoML for forecasting, model architecture search. Activation: auto-configured forecasting, multi-scale time series, multi-output regression, MS-BCNN, Pa...businesspythontestingVotes: 0GitHub stars: 3
Agent Centric Animal Pose ForecastingAFramework for training agent-centric autoregressive models of animal behavior from tracked pose data, using egocentric sensory observations and movements to mirror biological constraints and enable emergence of social behavior.businessgoVotes: 0GitHub stars: 3
Adseq Delay Aware Autograd SnnAADSEQ: delay-aware autograd-compatible framework for spike-event delivery in SNNs — memory-efficient autodifferentiable spike event queues with delay support, benchmarked across CPU/GPU/TPU/LPU platforms. arXiv:2512.05906v2businessgoperformanceVotes: 0GitHub stars: 3
Adaptivity Realizability ConstraintsATheoretical framework comparing in-context learning (fixed queries) vs agentic learning (adaptive queries) under neural network realizability constraints. Use when: analyzing when adaptive querying helps or hurts, comparing ICL with agentic RL, understanding representational constraints in learning systems, designing adaptive query strategies for neural networks. Keywords: in-context learning, agentic learning, adaptivity, realizability, neural network approximation, ReLU networks, learning t...businesspythonexpressVotes: 0GitHub stars: 3
Adaptive Delta Pulse Frequency EncodingASkill for understanding and implementing adaptive delta and pulse frequency encoding for bio-signal acquisition in neuromorphic systems. Use when working with event-based analog front-ends, biomedical signal processing, or designing low-power neural interfaces.businessgotestingVotes: 0GitHub stars: 3
Adaptive Delta Modulator AfeASkill for understanding and applying a 32-channel event-based bio-signal analog front-end with adaptive delta and pulse frequency encoding for neuromorphic systems.businessgoapiVotes: 0GitHub stars: 3
Adaptive Acquisition BboAAdaptive acquisition function selection for discrete black-box optimization (BOCS + GP-LCB hybrid). Based on arXiv:2605.10856 (Shikanai & Ohzeki, 2026). Use when optimizing QUBO, HUBO, or any discrete-variable black-box problem where BOCS stagnates. Combines parametric surrogate with Gaussian-process-based adaptive LCB selection for exploration-exploitation balance. Also applicable to quantum annealing sparse surrogate construction and combinatorial search. Activation: adaptive acquisition, B...businesspythongoVotes: 0GitHub stars: 3
Accessibility WcagAExpert guidance for web accessibility (WCAG 2.2). Treat a11y violations as compile errors. Use when implementing accessibility features, auditing a11y compliance, or working with screen readers. Triggers on: accessibility, wcag, a11y, aria, screen reader, keyboard navigation.businesstypescriptVotes: 0GitHub stars: 3
A Global Workspace In Language ModelsAA global workspace in language modelsbusinesspythongoVotes: 0GitHub stars: 3