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Claude Skills by hiyenwong
github.com/hiyenwong9,934 skills5 installs19,223 views
- Dance Eeg Event DetectionDANCE (Detect And Classify Events) — deep learning pipeline for joint event detection and classification from continuous, unaligned EEG signals. Frames neural decoding as a set-prediction problem, eliminating the need for pre-aligned event windows. Achieves SOTA on seizure monitoring and matches onset-informed BCI models. Use when working with: EEG event detection, continuous neural decoding, seizure detection, asynchronous BCI, set prediction for time series, or real-time neural monitoring. ...Votes: 0GitHub stars: 3
- Dark Signals Brain HamiltonianDark Signals framework — physics-informed complex-valued brain network dynamics using Hamiltonian mechanics. Augments observed fMRI/EEG signals with latent conjugate momenta via Hilbert transform, yielding Schrödinger-like equations for whole-brain dynamics. Activation: dark signals, hamiltonian brain, complex-valued brain dynamics, hilbert transform brain, brain network prediction, effective connectivityVotes: 0GitHub stars: 3
- Dart Adaptive Thinking BudgetTraining-free routing framework for hybrid reasoning models. Uses draft agreement signals to adaptively allocate thinking budgets without labeled data or gradient updates.Votes: 0GitHub stars: 3
- Dart Q Realtime Qldpc DecodingDART-Q methodology for real-time quantum error correction decoding. Deadline-driven QLDPC decoder framework with queueing theory, EDF scheduling, and admission control for fault-tolerant quantum computing. Activation: real-time decoding, quantum decoder scheduling, QLDPC decoding, deadline-driven quantum, DART-Q.Votes: 0GitHub stars: 3
- Darwin Family Evolutionary MergingTraining-free evolutionary merging framework for LLMs using MRI-Trust Fusion and adaptive merge genome. Use when: merging LLMs without training, evolutionary model combination, gradient-free weight-space recombination, cross-architecture model breeding, diagnostic-guided model merging, training-free reasoning improvement. Activation: darwin family, evolutionary merging, MRI-Trust Fusion, model merging, gradient-free merging, cross-architecture breeding, training-free LLM, weight-space recombi...Votes: 0GitHub stars: 3
- Data Driven Distributed ControlData-driven distributed controller synthesis using spatial regret optimization. For synthesizing optimal distributed controllers directly from frequency-response data without requiring a parametric system model. Use when: (1) designing distributed control systems from experimental data, (2) comparing spatial regret vs H2/Hinf performance, (3) building data-driven controllers with communication structure constraints, (4) model-free controller synthesis for networked systems.Votes: 0GitHub stars: 3
- Data Driven Reachability Matrix PerturbationData-driven reachability analysis framework using matrix perturbation theory. Provides Cai-Zhang bounds for matrix zonotopes and constrained matrix zonotopes. Enables efficient reachable-set propagation with coefficient-space approximation. Use for: safety verification of uncertain systems, robust control synthesis, formal verification of dynamical systems, computational reachability analysis.Votes: 0GitHub stars: 3
- Data Poisoning Control SecurityData poisoning attacks on data-driven control systems - security analysis and defense strategies. Use for: securing data-driven control, attack detection, resilient control synthesis, adversarial robustness. Activation: data poisoning, control security, adversarial attacks, data-driven control vulnerabilities, resilient synthesis.Votes: 0GitHub stars: 3
- A Bayesian Model For Activities Recommendation And Event Structure Optimization Using Visitors Tracking**arXiv ID:** 1802.10393 **Authors:** Henrique X. Goulart, Guilherme A. Wachs-Lopes **Published:** 2018-02-28T12:59:43Z **Abstract:** In events that are composed by many activities, there is a problem that involves retrieve and management the information of visitors that are visiting the activities. This management is crucial to find some activities that are drawing attention of visitors; identify an ideal positioning for activities; which path is more frequented by visitors. In this work, th...Votes: 0GitHub stars: 3
- A Datadriven Framework For Identifying Investment Opportunities In Private Equity**arXiv ID:** 2204.01852 **Authors:** Samantha Petersone, Alwin Tan, Richard Allmendinger, Sujit Roy, James Hales **Published:** 2022-04-04T21:28:34Z **Abstract:** The core activity of a Private Equity (PE) firm is to invest into companies in order to provide the investors with profit, usually within 4-7 years. To invest into a company or not is typically done manually by looking at various performance indicators of the company and then making a decision often based on instinct. This process ...Votes: 0GitHub stars: 3
- Ai Agent Data MigrationSystematic migration of data between AI agent systems (e.g., OpenClaw to Hermes, profile migration, backup/restore). Use when migrating memories, skills, configurations, cron jobs, or other agent state between systems.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
- Arxiv 2602 17658 Mars Margin And Semantic Aware Data Augmentation FMARS: Margin and Semantic-Aware Data Augmentation for Reward Modeling (arXiv: 2602.17658)Votes: 0GitHub stars: 3
- Arxiv 2607 20891 Is Deep Research Reliable Misleading Knowledge IndIs Deep Research Reliable? Misleading Knowledge Induces False Conclusions (arXiv: 2607.20891)Votes: 0GitHub stars: 3
- Arxiv 2607 28428 Kohn Sham Spectral Embedding On Sparse Graphs At TKohn-Sham Spectral Embedding on Sparse Graphs at the Nishimori Temperature for Image Classification (arXiv: 2607.28428)Votes: 0GitHub stars: 3
- Arxiv 2608 04565 Breadcrumbing Search AgentsBreadcrumbing Search Agents (arXiv: 2608.04565)Votes: 0GitHub stars: 3
- Arxiv 2608 05102 Abseeker Training Long Horizon Search Agents Via AABSeeker: Training Long-Horizon Search Agents via Answer-Backtracked Credit Assignment (arXiv: 2608.05102)Votes: 0GitHub stars: 3
- Arxiv 2608 05160 The Ignition Index Measuring Global Workspace DynaThe Ignition Index: Measuring Global Workspace Dynamics in Language Models (arXiv: 2608.05160)Votes: 0GitHub stars: 3
- Arxiv 2608 05179 Autonomous Research Agents A Survey Of Ai ScientisAutonomous Research Agents: A Survey of AI Scientists and the Verification Gap (arXiv: 2608.05179)Votes: 0GitHub stars: 3
- Arxiv 2608 05545 Vibe Compiler A Research Logic Synthesis Tool ThatVibe Compiler: A Research-Logic Synthesis Tool That Runs without Prompt Engineering -Toward Enhancing Metacognition for Sustaining Agency in the Age of Generative AI- (arXiv: 2608.05545)Votes: 0GitHub stars: 3
- Arxiv 2608 05605v1 Enhancing Anomaly Resilience In Research Networks**arXiv ID:** 2608.05605v1 **Authors:** Mohammad Arafath Uddin Shariff, Byrav Ramamurthy **URL:** http://arxiv.org/abs/2608.05605v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 05876 Personalized Deep Research Query Refinement With GPersonalized Deep Research Query Refinement with Graph-Scaffolded Evidence Grounding (arXiv: 2608.05876)Votes: 0GitHub stars: 3
- Arxiv 2608 05876v1 Personalized Deep Research Query Refinement With G**arXiv ID:** 2608.05876v1 **Authors:** Soojin Yoon, Dongha Lee **URL:** http://arxiv.org/abs/2608.05876v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 13200v1 Gem A Generative Embedding Model Bridging Reasonin**arXiv ID:** 2608.13200v1 **Authors:** Zhili Shen, Craig Macdonald **URL:** http://arxiv.org/abs/2608.13200v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 13495v1 Travel Trajectory Guided Video Embedding Learning**arXiv ID:** 2608.13495v1 **Authors:** Yi-Chung Chen, Philip Jacobson, Tom Lampo, Yiren Lu, Jin Yao, David I. Inouye, Jing Gao, Danhua Guo, Burhan Yaman **URL:** http://arxiv.org/abs/2608.13495v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 18504v1 Umer Unifying Embedding And Ranking Via Pair Aware**arXiv ID:** 2608.18504v1 **Authors:** Libiao Chen, Xiyang Liu, Yanheng Wei, Tao Wang, Zhenyu Tang **URL:** http://arxiv.org/abs/2608.18504v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 18543v1 Bridging Search And Crm Productionizing Ai Product**arXiv ID:** 2608.18543v1 **Authors:** Mandar Kulkarni, Pooja A., Samir Shah **URL:** http://arxiv.org/abs/2608.18543v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 18723v1 Budget First Tariff Recommendation Bftr A Complete**arXiv ID:** 2608.18723v1 **Authors:** Ghislain Dorian Tchuente Mondjo **URL:** http://arxiv.org/abs/2608.18723v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 22642v1 Mol Jepa A Multimodal Joint Embedding Predictive A**arXiv ID:** 2608.22642v1 **Authors:** Florian Rottach, Sebastian Schieferdecker, William Rudman, Randall Balestriero, Carsten Eickhoff **URL:** http://arxiv.org/abs/2608.22642v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 22824v1 Dime Query Efficient Framework For Membership Infe**arXiv ID:** 2608.22824v1 **Authors:** Tue Do, Daniel Alabi **URL:** http://arxiv.org/abs/2608.22824v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 22874v1 Stochastic Separability Of Embedding Manifolds**arXiv ID:** 2608.22874v1 **Authors:** Liqing Zhang **URL:** http://arxiv.org/abs/2608.22874v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 25577v1 Polymemdb A Polyglot Database System For Ai Memory**arXiv ID:** 2608.25577v1 **Authors:** Yu Wang, Jiaheng Lu **URL:** http://arxiv.org/abs/2608.25577v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 25761v1 Beam Search Self Consistency And The Limits Of Inf**arXiv ID:** 2608.25761v1 **Authors:** Ty Chermsirivatana, John MacCormick **URL:** http://arxiv.org/abs/2608.25761v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 25922v1 Query Side Attacks On Gnn Based Kgqa Tracing Failu**arXiv ID:** 2608.25922v1 **Authors:** Pankaj Kumar, Subhankar Mishra **URL:** http://arxiv.org/abs/2608.25922v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 26701v1 Accelerating Scientific Research With Gemini In Th**arXiv ID:** 2608.26701v1 **Authors:** Samuel Schmidgall, Xiaokai Zhu, Marian Shaw, Lin Yang, Valentin Liévin, Jingyun Yang, Yuchen Zhuang, Tim Strother, Alex Bijamov, Min Woo Sun, Anil Palepu, Justin Chen, David Steiner, Jacqueline Shreibati, Wei-Hung Weng, Yilin Zhao, Xingjian Hu, Nicholas Zahn, Sadhya Garg, Julia Kirby, Yuxiang Gan, Jiaoli Li, Divy Thakkar, Shekoofeh Azizi, David Racz, Juraj Gottweis, Vivek Natarajan, Chenglin Wu, Tal Danino, Keran Rong, Haozhe Wang, Benoit Schillings, Yo...Votes: 0GitHub stars: 3
- Arxiv 2608 26750v1 Discovering Relationships In Data Lakes Using Larg**arXiv ID:** 2608.26750v1 **Authors:** Ahlame Diouan, Eric Ferey, Sabine Loudcher, Jérôme Darmont **URL:** http://arxiv.org/abs/2608.26750v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 26804v1 Incremental Recommendation Via Causal Models**arXiv ID:** 2608.26804v1 **Authors:** Athanasios Vlontzos, David Gustafsson, Michael O'Riordan, Ciarán M. Gilligan-Lee **URL:** http://arxiv.org/abs/2608.26804v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 26983v1 Graphmemix Query Aware Evidence Forests For Long T**arXiv ID:** 2608.26983v1 **Authors:** Geng Li, Yuhao Wang, Dong Li, Jianye Hao, Yuxin Peng **URL:** http://arxiv.org/abs/2608.26983v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 30556v1 Adapath Query Adaptive Path Finding Via Path Bank**arXiv ID:** 2608.30556v1 **Authors:** Jun Hyeong Kim, Dongki Kim, Yinhua Piao, Sung Ju Hwang **URL:** http://arxiv.org/abs/2608.30556v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 02252v1 Diffusearch How Hybrid Trajectory Planning Benefit**arXiv ID:** 2609.02252v1 **Authors:** Steffen Hagedorn, Aron Distelzweig, Alexandru P. Condurache **URL:** http://arxiv.org/abs/2609.02252v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 03756v1 Eneas Embedding Guided Neural Ensemble For Adaptiv**arXiv ID:** 2609.03756v1 **Authors:** Javier del Pino, Salvador Rodríguez, Alejandro Garabito, Javier Álvarez, Chema Garabito **URL:** http://arxiv.org/abs/2609.03756v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 08950v1 Sqlmorph Query Mutation And Fine Grained Metrics F**arXiv ID:** 2609.08950v1 **Authors:** Mohammadhossein Malekpour, Mohamed Riahi, Maxime Lamothe, Amine Mhedhbi **URL:** http://arxiv.org/abs/2609.08950v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv Search FixWorkaround for arxiv-search SSL issues when using python httpxVotes: 0GitHub stars: 3
- Arxiv SearcharXiv paper search skill - search academic papers by keywords, authors, categories. Supports time filtering, category filtering, and paper detail retrieval. Activation: arxiv search, paper search, 论文搜索, search papers, arxiv 论文.Votes: 0GitHub stars: 3
- Astro Gnn Anomaly Detection CpsASTRO (Adaptive Spatio-Temporal Reinforcement Optimization) for GNN-powered anomaly detection in Industrial IoT and Cyber-Physical SystemsVotes: 0GitHub stars: 3
- Automated Research PipelineLightweight automated research pipeline for searching, filtering, and extracting skills from academic papers without knowledge graph infrastructure. Use for: quick research synthesis, paper-to-skill conversion, domain literature surveys. Activation: automated research, paper to skill, research pipeline, quick literature review, skill extraction from papers.Votes: 0GitHub stars: 3
- Autoresearch Coding Agents Generalizers Metric Maximizers Quran Recitation DataSkill derived from arXiv:2607.18064 - Autoresearch with Coding Agents: Generalizers and Metric-Maximizers on Quran Recitation DataVotes: 0GitHub stars: 3
- Autoresearch PipelineSkill for AI agent capabilitiesVotes: 0GitHub stars: 3
- Autoresearch With Coding Agents Generalizers And MDerived from arXiv:2607.18064 - Autoresearch with Coding Agents: Generalizers and Metric-Maximizers on Quran Recitation DataVotes: 0GitHub stars: 3
- AutoresearchAutonomous AI research loop - let the agent run ML experiments overnight. Inspired by Karpathy's autoresearch. Use when: autonomous research, ml experiments, overnight training, self-improving models, auto-optimization.Votes: 0GitHub stars: 3