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Claude Skills by hiyenwong
github.com/hiyenwong9,934 skills5 installs19,223 views
- Untrained Cnn V1 Alignment ComparisonSystematic RSA comparison showing untrained CNNs match backpropagation-trained networks at V1 visual cortex representations. Activation: brain model, neural scaling, multimodal brain, fMRI, EEG, neural encoding.Votes: 0GitHub stars: 3
- Untrained Cnn V1 Alignment RsaSystematic RSA comparison showing that untrained CNNs achieve V1/V2 alignment comparable to backpropagation-trained networks. Reveals architecture-driven vs objective-driven cortical alignment across visual hierarchy.Votes: 0GitHub stars: 3
- Vlms Human Alignment Natural ReadingResearch methodology comparing LLM and VLM alignment with human brain responses during natural reading. Uses controlled text-only evaluation to isolate multimodal training effects. Based on arXiv:2605.28818 (May 2026). Use when studying VLM vs LLM alignment, human brain-model comparison, natural reading fMRI, eye-tracking alignment, or visual semantic content effects on language models.Votes: 0GitHub stars: 3
- When Synthetic Users Fail A Cross Domain BenchmarkWhen Synthetic Users Fail: A Cross-Domain Benchmark of LLM-Simulated Human Survey ResponsesVotes: 0GitHub stars: 3
- Whisper Ecog AlignmentThis methodology investigates how Whisper speech foundation model representations predict intracranial ECoG (electrocorticography) responses during naturalistic speech perception. It introduces a time-resolved neural encoder with recurrent temporal modeling and soft attention to examine layer-wise brain alignment.Votes: 0GitHub stars: 3
- Ai Sycophancy MeasurementMethodology for measuring, analyzing, and mitigating AI sycophancy in guidance-giving contexts. Covers automated classification, stress-testing with prefilling, synthetic data generation, and domain-specific analysis.Votes: 0GitHub stars: 3
- Ai Workload Power ProfilingAI workload power profiling for data center infrastructure planning. Measure, model, and scale power consumption of AI training, fine-tuning, and inference jobs. Use when: data center energy planning, GPU power optimization, AI infrastructure design, generative AI workload analysis, MLCommons benchmarks, vLLM inference profiling, H100 GPU power measurement.Votes: 0GitHub stars: 3
- Ak Mcs Conformal Failure ProbabilityActive Kriging Monte Carlo Simulation with conformal certification for failure probability estimation in structural reliability. Uses adaptive cross-conformal strategy for small-sample settings with J+GP conformal estimator. Provides distribution-free guarantees on prediction errors for improved classification near limit-state surfaces. arXiv:2606.20191. Activates: failure probability, structural reliability, active learning, kriging monte carlo, conformal prediction, AK-MCS, J+GP estimator, ...Votes: 0GitHub stars: 3
- Algebraic Mind VacoaHow to Build Marcus's Algebraic Mind: Algebro-Deterministic Substrate over Galois Fields (arXiv:2605.21379). Maps Gary Marcus's three pillars of cognitive architecture (operations over variables, recursively structured representations, individual/kind distinction) onto the PyVaCoAl/VaCoAl hyperdimensional computing architecture. Uses XOR-and-shift over GF(2) as a single algebraic primitive. Activation: vacoal, hyperdimensional computing, algebraic mind, Gary Marcus, cognitive architecture, re...Votes: 0GitHub stars: 3
- Algebraic Quantum Code ConcatenationCode concatenation methodology for quantum error correction using algebraic outer codes over high-rate quantum LDPC inner codes. Treats inner code blocks as logical Galois qudits, enabling concatenation with quantum Reed-Solomon outer codes and list decoders. Achieves teraquop regime with lower space overhead. Activation: quantum error correction, code concatenation, quantum LDPC, Galois qudit, Reed-Solomon quantum code, list decoding, fault tolerance, teraquop.Votes: 0GitHub stars: 3
- Algorithmic Bohmian Mechanics DistributionAlgorithmic Bohmian Mechanics (aBM) methodology using algorithmic randomness theory to formulate the distribution postulate as an objective constraining law. arXiv:2606.16165Votes: 0GitHub stars: 3
- Algorithmic Bohmian MechanicsAlgorithmic Bohmian Mechanics (aBM) methodology using algorithmic randomness to formulate the distribution postulate as an objective constraining law. Guarantees standard Born statistics for canonical quantum experiments in the limit. Use for quantum foundations, interpretation of quantum mechanics, and algorithmic randomness in physical theories.Votes: 0GitHub stars: 3
- Alternative Adiabatic Quantum DynamicsAlternative adiabatic quantum dynamics methodology — gate-based implementations of adiabatic computing without time-dependent Hamiltonian simulation overhead. For quantum algorithms, optimization, and adiabatic quantum computing.Votes: 0GitHub stars: 3
- Am Mteeg Classification基于脉冲关联记忆的多任务 EEG 分类方法（AM-MTEEG）。受海马体学习记忆原理启发，实现跨个体 BCI 分类，具有生物可解释性。触发词：EEG分类、多任务学习、关联记忆、associative memory、跨个体BCI、海马体启发、hippocampus-inspired。Votes: 0GitHub stars: 3
- Amplitude Encoded Quantum Reservoir ProtocolOnline quantum reservoir computing protocol with amplitude encoding using mid-circuit measurement and reset - enables scalable hardware implementations without input bufferingVotes: 0GitHub stars: 3
- An Off Switch For Dual Use Knowledge In Ai ModelsAn off switch for dual-use knowledge in AI modelsVotes: 0GitHub stars: 3
- Anai Autonomous InfrastructureAI-Native Autonomous Infrastructure (ANAI) formal framework methodology for evaluating AI as systemic infrastructural transition. Core constructs: Autonomy Index (AIx), Infrastructure Coupling Coefficient (ICC), Technological Transition Potential (TTP). Activation: AI-native infrastructure, autonomous infrastructure, GPT analysis, technology transition, infrastructure coupling.Votes: 0GitHub stars: 3
- Analog Kan Biosignal Flexible ElectronicsAnalog Kolmogorov-Arnold Networks (AKANs) for low-power function approximation in flexible electronics. Hardware-software co-optimization with circuit-level error modeling during training and dual-level pruning. Targets wearable biosignal processing (EEG, ECG, EMG) with 55% area and 50% power savings. Use when: neuromorphic computing for biosignals, analog neural network hardware, flexible electronics, low-power function approximation, wearable neural inference, sensor calibration, logarithmi...Votes: 0GitHub stars: 3
- Analog Neuromorphic Plasticity模拟神经形态硬件上的多时间尺度突触可塑性方法。基于钙离子动力学的突触可塑性规则，结合突触标记捕获假说，在BrainScaleS-2系统上实现。适用于脉冲神经网络模拟、神经形态计算、可塑性规则验证。触发词：神经形态计算、突触可塑性、钙动力学、STC假说、BrainScaleS、脉冲神经网络、analog neuromorphic、synaptic plasticity、calcium dynamics、spiking neural network。Votes: 0GitHub stars: 3
- Analog Quantum Event GnnAnalog quantum AEGNN methodology — implementing event-based graph neural networks on neutral-atom quantum processors using Rydberg Hamiltonians for message passing.Votes: 0GitHub stars: 3
- Anatomy Modality Gap Speech LlmsAnalysis of modality gap in speech LLMs through cross-layer alignment patterns, revealing that speech representations exhibit broad cross-layer alignment due to redundant nature of speech signals.Votes: 0GitHub stars: 3
- Anthropic Economic Index CadencesMethodology from Anthropic Economic Index report "Cadences" (Jun 26, 2026) for analyzing AI usage patterns through privacy-preserving telemetry — temporal cadences, output artifact classification, and perception surveys linked to behavioral data.Votes: 0GitHub stars: 3
- Anthropic Economic Index Report CadencesAnthropic Economic Index report: CadencesVotes: 0GitHub stars: 3
- Anthropic Institute Focus AreasMethodology from Anthropic research (May 7, 2026) outlining focus areas for The Anthropic Institute — AI safety research priorities, policy engagement, and societal impact initiatives.Votes: 0GitHub stars: 3
- Anthropic Research FetchRecurring pipeline for fetching Anthropic research articles and turning reusable methodologies into ai_collection skills. Triggers on scheduled/cron Anthropic research fetches, "fetch anthropic research", extracting methods from anthropic.com/research, or syncing new skills to the ai_collection project. Covers fetch → article extraction (with the web_extract-blocked workaround) → skill creation → ai_collection sync (skills + INDEX.md) → kg.db update → Obsidian notes.Votes: 0GitHub stars: 3
- Antic Mics Wcet AnalysisMixed-Criticality (MC) system WCET (Worst-Case Execution Time) analysis and optimization using AnTi-MiCS and MulTi-MiCS frameworks. Enables optimal low WCET determination for real-time embedded systems, balancing processor utilization against Quality-of-Service. Use when: (1) designing mixed-criticality real-time systems, (2) optimizing WCET bounds for embedded tasks, (3) analyzing execution time distributions for mode switch optimization, (4) reducing utilization waste in MC scheduling. Acti...Votes: 0GitHub stars: 3
- Antisymmetric Polyspectral Neural InteractionsGeneralized framework of antisymmetric cross-polyspectral indices for identifying high-order neural interactions. Quantifies cross-frequency coupling while being intrinsically robust to volume conduction artifacts. Applicable to EEG/MEG analysis and personalized mTMS protocol design. Activation: antisymmetric polyspectral, cross-frequency coupling, high-order neural interactions, volume conduction robust, bispectral analysis, trispectral analysis, multi-frequency coupling, mTMS protocol.Votes: 0GitHub stars: 3
- Application Level Quantum BenchmarkingScalable framework for application-level quantum benchmarking. Supports cross-platform comparison with 13 benchmark families covering solution quality, execution time, energy, and Time-to-Solution metrics. Activation: quantum benchmarking, application-level benchmark, quantum system evaluationVotes: 0GitHub stars: 3
- Approximate Quantum Error CorrectionApproximate quantum error correction theory for non-isometric codes addressing finite-energy experimental realizationsVotes: 0GitHub stars: 3
- Aquatic Neuromorphic Optical FlowSelf-supervised spiking neural network framework for estimating per-pixel optical flow from event camera streams in underwater environments. Bridges neuromorphic sensing and aquatic intelligence for lightweight, real-time, low-cost perception on resource-constrained edge platforms. Activation: underwater vision, event camera, neuromorphic optical flow, aquatic perception, spiking neural network motion estimation, DVS underwater.Votes: 0GitHub stars: 3
- Arbor Tvb Multiscale SimulationMulti-scale brain simulation framework integrating microscopic neural dynamics (Arbor) with macroscopic whole-brain models (The Virtual Brain/TVB). Enables bidirectional real-time co-simulation between detailed spiking neurons and large-scale brain networks. Use when: - Modeling seizures at both neural and whole-brain scales - Bridging microscopic neuron dynamics with macroscopic brain region activity - Co-simulating detailed neuron populations within large-scale network models - Multi-scale...Votes: 0GitHub stars: 3
- Arfima Stride FluctuationsARFIMA decomposition of stride-to-stride fluctuations in human walking for sensorimotor control analysis. Activation triggers: stride fluctuations, human gait, DFA, ARFIMA, fractal analysis, sensorimotor controlVotes: 0GitHub stars: 3
- Arxiv 2208 08211 Path Planning Of Cleaning Robot With ReinforcementPath Planning of Cleaning Robot with Reinforcement Learning (arXiv: 2208.08211)Votes: 0GitHub stars: 3
- Arxiv 2409 06130 Revisiting Black Box Model Ownership VerificationRevisiting Black-Box Model Ownership Verification through Information Theory (arXiv: 2409.06130)Votes: 0GitHub stars: 3
- Arxiv 2409 12788 Optimal Or Greedy Decision Trees Revisiting TheirOptimal or Greedy Decision Trees? Revisiting their Objectives, Tuning, and Performance (arXiv: 2409.12788)Votes: 0GitHub stars: 3
- Arxiv 2505 06800 A Reverse Bsde Diffusion SamplerA Reverse-BSDE Diffusion Sampler (arXiv: 2505.06800)Votes: 0GitHub stars: 3
- Arxiv 2508 02091 Crinn Contrastive Reinforcement Learning For ApproCRINN: Contrastive Reinforcement Learning for Approximate Nearest Neighbor Search (arXiv: 2508.02091)Votes: 0GitHub stars: 3
- Arxiv 2509 10482 Aegisshield Democratizing Cyber Threat Modeling WiAegisShield: Democratizing Cyber Threat Modeling with Generative AI (arXiv: 2509.10482)Votes: 0GitHub stars: 3
- Arxiv 2510 14538 Symbol Grounding In Neuro Symbolic Ai A Gentle IntSymbol Grounding in Neuro-Symbolic AI: A Gentle Introduction to Reasoning Shortcuts (arXiv: 2510.14538)Votes: 0GitHub stars: 3
- Arxiv 2511 13480 A Lexical Analysis Of Online Reviews On Human Ai IA Lexical Analysis of online Reviews on Human-AI Interactions (arXiv: 2511.13480)Votes: 0GitHub stars: 3
- Arxiv 2511 16839 Trajectory Guided Discharge Stratification For HeaTrajectory-guided discharge stratification for heart failure using short-context electronic health record sequence modeling (arXiv: 2511.16839)Votes: 0GitHub stars: 3
- Arxiv 2511 17852 Transformers With Rl Or Sft Provably Learn SparseTransformers with RL or SFT Provably Learn Sparse Boolean Functions, But Differently (arXiv: 2511.17852)Votes: 0GitHub stars: 3
- Arxiv 2512 22256 Agentic Software Issue Resolution With Large LanguAgentic Software Issue Resolution with Large Language Models: A Survey (arXiv: 2512.22256)Votes: 0GitHub stars: 3
- Arxiv 2601 04098 Layer Wise Positional Bias In Short Context LanguaLayer-wise Positional Bias in Short-Context Language Modeling (arXiv: 2601.04098)Votes: 0GitHub stars: 3
- Arxiv 2601 07568 D3llm Ultra Fast Diffusion Llm Using Pseudo Trajecd3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation (arXiv: 2601.07568)Votes: 0GitHub stars: 3
- Arxiv 2601 16592 Fi Tw An Open Train Weather Dataset For Railway DeFI-TW: An Open Train-Weather Dataset for Railway Delay Analysis in Finland (arXiv: 2601.16592)Votes: 0GitHub stars: 3
- Arxiv 2601 21800 Bioagent Bench An Ai Agent Evaluation Suite For BiBioAgent Bench: An AI Agent Evaluation Suite for Bioinformatics (arXiv: 2601.21800)Votes: 0GitHub stars: 3
- Arxiv 2602 08290 Trust Based Incentive Mechanisms In Semi DecentralTrust-Based Incentive Mechanisms in Semi-Decentralized Federated Learning Systems (arXiv: 2602.08290)Votes: 0GitHub stars: 3
- Arxiv 2602 11834 Eqdeeprx Learning A Scalable And Interference MitiEqDeepRx: Learning a Scalable and Interference Mitigating MIMO Receiver (arXiv: 2602.11834)Votes: 0GitHub stars: 3
- Arxiv 2602 14265 State Of Thoughts Structured Action Templates ForSTATe-of-Thoughts: Structured Action Templates for Tree-of-Thoughts (arXiv: 2602.14265)Votes: 0GitHub stars: 3