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SkillsMP는 hiyenwong/ai_collection에서 4,114개의 skill을 수집했습니다. skill을 열어 소스와 세부 정보를 확인하세요.
hiyenwong/ai_collection수집된 skill 4,114개 중 40개를 표시합니다.
Quantum statistical estimation theory and applications - combines Bayesian methods, quantum Cramér-Rao bounds, and quantum parameter estimation for optimal quantum system state estimation. Use when analyzing quantum metrology, quantum parameter estimation,…
원문 언어: 영어
Quantum systems control theory and simulation framework. Covers coherent feedback control (H∞), physics-informed discrete-event simulation for quantum networks, and high-dimensional quantum photonics encoding. Use when: (1) designing control systems for…
원문 언어: 영어
Quantum tensor network simulation optimization with PTSBE (Pre-Trajectory Sampling with Batched Execution). Accelerates quantum trajectory methods for noisy quantum systems. Use when: (1) Simulating noisy quantum circuits, (2) Optimizing tensor network…
원문 언어: 영어
Quantum algorithms for topological data analysis (TDA) - persistent Betti numbers, simplicial complexes, Vietoris-Rips topology, high-dimensional feature extraction. Use when analyzing quantum approaches to TDA, persistent homology, Betti number estimation,…
원문 언어: 영어
Exact framework for computing heat, energy, and particle transport statistics in quadratic quantum systems coupled to Gaussian reservoirs — combines full counting statistics with non-Markovian master equations. Use when: analyzing quantum transport in…
원문 언어: 영어
Semiclassical methods connecting quantum statistical mechanics to analytic number theory. Uses trace formula and periodic orbit theory to study integer partitions. Activation: semiclassical, integer partitions, density of states, number theory, periodic…
원문 언어: 영어
Shunting inhibition and dendritic branching reshape local credit assignment geometry. Shows how E/I conductance + dendritic tree structure enable biological neurons to approximate backprop with restricted somatic feedback. By Safaai, Richards & Sabatini…
원문 언어: 영어
Sparse Identification Graph Neural Network (SIGN) for inferring governing equations of complex networked systems. Use when working with: (1) complex systems dynamics prediction, (2) equation discovery from data, (3) graph neural networks for networked…
원문 언어: 영어
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
원문 언어: 영어
Meta-skill that extracts reusable skill patterns from conversations and generates standard SKILL.md files.
원문 언어: 영어
Spiking Neural Networks for online data reduction in high-energy physics detectors. Temporal-coincidence encoding and distributed SNN architecture for the ePIC dRICH detector at the Electron-Ion Collider. Achieves 5x data reduction while preserving genuine…
원문 언어: 영어
Spectral entropy diagnostic S(K)/log n for quantum Gaussian process kernels. Unified framework showing dequantization and posterior pathologies governed by same quantity. Proves Cauchy-Schwarz tail bound on Nystrom error, variance-contraction identity,…
원문 언어: 영어
First comprehensive evaluation of SNNs for real-world automotive multi-object detection and tracking using SpikeYOLO transfer learning. Achieves mAP 0.937 (KITTI) and 0.771 (BDD100K MOT2020) for detection, HOTA 0.701/0.445 for tracking — competitive with…
원문 언어: 영어
Statistical interpretation framework unifying algebraic quantum mechanics and quantum probability theory — links observable algebras to measurement statistics for foundations of quantum physics. Use when: analyzing measurement procedures statistically,…
원문 언어: 영어
Systems engineering research synthesis covering April-May 2026 arXiv papers. April 2026 methodologies: (1) Situation-aware feedback-predictive control for autonomous vehicles, (2) Heterogeneous dual-network UAV coordination, (3) Multi-agent RL for 3D…
원문 언어: 영어
Operational reformulation of quantum mechanics via transformation-response framework. A quantum state is the catalog of responses to all physical transformations, characterized by a positive-definite characteristic function on the local group. From this…
원문 언어: 영어
"Updating the standard neuron model in artificial neural networks - replacing the simplistic point neuron model with more realistic cortical cell representations"
원문 언어: 영어
[TODO: Complete and informative explanation of what the skill does and when to use it. Include WHEN to use this skill - specific scenarios, file types, or tasks that trigger it.]
원문 언어: 영어
Zero-shot Quantum Neural Architecture Search methodology for VQA circuit optimization without classical search loop. Use when: (1) designing variational quantum circuits, (2) optimizing quantum architecture without expensive search, (3) reducing classical…
원문 언어: 영어
Integration testing patterns for autonomous agent frameworks — mocking LLM routers, verifying tool-use loops, contract validation, and fallback chains. Applies to super_factory and similar spec-driven agent architectures.
원문 언어: 영어
Dynamic neural manifolds methodology for flexible closed-loop control on neuromorphic hardware. Uses sensory inputs to modulate heterogeneous inhibition, gain, and transient currents, driving rapid subspace rotations to switch between behaviors and…
원문 언어: 영어
Dynamic neural manifolds methodology for flexible closed-loop control on neuromorphic hardware. Spiking ring networks with control knobs (gain, inhibition, transient currents) that steer low-dimensional manifold geometry for explainable autonomous behavior.…
원문 언어: 영어
Hyperbolic Learning on Brain Graphs (HLBG) methodology for brain disorder diagnosis using Lorentzian hyperbolic space and Graph-aware Mamba (GaMamba). Models hierarchical relationships among ROIs, functional communities, and whole-brain networks via geometric…
원문 언어: 영어
Quantum Optimization via Coordinate Descent (QUACOD) methodology. Decomposes large-scale combinatorial optimization problems into quantum-solvable subproblems using coordinate descent, enabling NISQ-era hardware to handle problems 5-35x larger than direct…
원문 언어: 영어
Digital twin framework for quantum neuromorphic cognitive modeling - combining quantum reservoir computing with tensor networks for emotional memory and thermodynamic-aware learning
원문 언어: 영어
Comprehensive survey of single-entity spiking neuron models - mathematical modeling approaches for biologically plausible neural systems including discrete/continuous models, membrane potential dynamics, and various neural components
원문 언어: 영어
Comprehensive survey of single-entity spiking neuron models covering mathematical formulations, biological plausibility, and computational trade-offs. Covers integrate-and-fire variants (LIF, EIF, Izhikevich, AdEx), Hodgkin-Huxley models, FitzHugh-Nagumo,…
원문 언어: 영어
Soliton-like wave propagation in 2D recurrent SNNs with weighted STDP - minimal biologically plausible spiking model combining multiplicative STDP, divisive normalization, homeostatic threshold adaptation, and refractory period to produce self-propagating…
원문 언어: 영어
Topology-Dependent Emergence of Polychronous Neuronal Groups via Recurrence Plot characterization. Analyzes how small-world network topology drives PNG formation in spiking networks with STDP and heterogeneous delays.
원문 언어: 영어
Free-probability approach to stationary covariance spectra of discrete-time non-normal random recurrent dynamics - derives closed functional equation for moment generating function of limiting stationary covariance spectrum, analyzes tail eigenvalue behavior…
원문 언어: 영어
Pan-Organ Foundation Model (Pan-FM) for multimodal biomedical imaging with missing-organ robustness. Pre-trained on seven organs (Brain, Heart, Adipose, Liver, Kidney, Spleen, Pancreas) using Saliency-Guided Masking (SGM) to prevent dominant-organ shortcut…
원문 언어: 영어
Krylov Mean-Field Chaos theory for random recurrent networks — demonstrating that deterministic chaos has latent predictability through Krylov state space decomposition. Extends Hamiltonian chaos concepts to classical dissipative systems.
원문 언어: 영어
Quantum Fisher Information estimation under decoherence via MCMC sampling — maps QFI lower bounds onto classical expectation values over wave function amplitude distributions. Enables QFI estimation for system sizes beyond exact diagonalization. Use when:…
원문 언어: 영어
Extract reusable research skill patterns from knowledge graph paper analysis. Uses PageRank, Louvain, and vector search to identify important papers and research clusters, then distills patterns into new skills. Activation: extract research pattern, research…
원문 언어: 다국어 혼합
Small-gain analysis for large-scale distributed systems - exponential incremental i-IOSS stability via local subsystem conditions. LMI-based stability analysis for nonlinear distributed systems. Activation: distributed stability, small-gain theorem, i-IOSS,…
원문 언어: 영어
Analyze Spiking Neural Network (SNN) papers, extract technical patterns from knowledge graph, and identify reusable research methodologies for neuromorphic computing.
원문 언어: 영어
Surviving by Serving (SBS) principle for self-organization in complex adaptive systems - components persist when their outputs are utilized by others, prolonged non-utilization promotes adaptation. Minimal multi-agent model where agents transform shared…
원문 언어: 영어
Distributed fault discrimination in microservice architectures using joint temporal-structural representation learning. Models microservice operations as dynamic graph sequences, combines temporal GNN encoding with attention-based structured message passing,…
원문 언어: 영어
Tensor 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…
원문 언어: 영어
Uncertainty-Guided Hypergraph Refinement (UGHR) methodology for medical image segmentation. Uses entropy-based uncertainty maps from coarse predictions to spatially guide targeted refinement in boundary/transition regions. Decouples foreground/background…
원문 언어: 영어