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Claude Skills by hiyenwong
github.com/hiyenwong9,934 skills5 installs19,223 views
- Agentic Iot Internet Of AgentsSurvey of agentic IoT architectures, applications, and challenges toward the Internet of Agents. Examines how AI integration transforms IoT from passive data collection to intelligent systems with anomaly detection, predictive maintenance, and optimization. Activation: agentic IoT, internet of agents, AIoT, IoT architecture, anomaly detection, predictive maintenance, smart systems.Votes: 0GitHub stars: 3
- Agentic Portfolio ManagementAgentic AI framework for portfolio management using multi-agent collaboration, competitive method evaluation, and meta-learning. Implements the architecture from 'The Self Driving Portfolio' paper (arxiv 2604.02279). Use when: (1) Building automated investment systems, (2) Designing agent-based portfolio optimization, (3) Creating multi-agent decision frameworks, (4) Implementing adaptive financial AI systems, (5) Developing autonomous asset allocation pipelines.Votes: 0GitHub stars: 3
- Agentic PortfolioDesign multi-agent architectures for complex workflows using specialized agent roles, critique/vote mechanisms, and meta-agent self-improvement. Use when building multi-agent systems with 10+ specialized agents, implementing agent oversight pipelines, or creating self-improving agent workflows. Based on arXiv:2604.02279 - The Self Driving Portfolio: Agentic Architecture for Institutional Asset Management.Votes: 0GitHub stars: 3
- Agentic Systems Monitoring MaturityMonitoring and triage methodology for agentic systems before they're reliable. Decomposes evaluation into three dimensions (quality, suitability, efficiency) at three scopes (within-run, cross-run, structural), using variance as characterization signal. Routes findings through FMEA-based severity classification. Activation: monitoring agentic systems, agent monitoring, agent triage, agentic systems reliability, agent maturity staging.Votes: 0GitHub stars: 3
- Agenticcann Automated Ascend C Operator GenerationAgenticCANN: Automated Ascend C Operator Generation via Knowledge-Augmented Agentic EvolutionVotes: 0GitHub stars: 3
- Agenticgeo A Selfevolving Agentic System For Generative Engine Optimization**arXiv ID:** 2603.20213 **Authors:** Jiaqi Yuan, Jialu Wang, Zihan Wang, Qingyun Sun, Ruijie Wang, Jianxin Li **Published:** 2026-03-02T16:13:13Z **Abstract:** Generative search engines represent a transition from traditional ranking-based retrieval to Large Language Model (LLM)-based synthesis, transforming optimization goals from ranking prominence towards content inclusion. Generative Engine Optimization (GEO), specifically, aims to maximize visibility and attribution in black-box summari...Votes: 0GitHub stars: 3
- Agentwebbench Benchmarking Multi Agent CoordinatioResearch paper: AgentWebBench: Benchmarking Multi-Agent Coordination in Agentic WebVotes: 0GitHub stars: 3
- Agraph BasedreinforcementlearningframeworkforstrucResearch paper: A Graph-Based Reinforcement Learning Framework for Structured Drift Diagnosis and Recovery in Autonomous LLM Agents.Votes: 0GitHub stars: 3
- Aligned Agents Biased Swarm MeasuringWhile Multi-Agent Systems (MAS) are increasingly deployed for complex workflows, their emergent properties-particularly the accumulation of bias-remain poorly understood. Because real-world MAS are to... Activation: multi-agent systems, agent collaboration, MAS, bias amplification, multi-agent bias.Votes: 0GitHub stars: 3
- Amortized Nonlinear MpcAmortized Nonlinear Model Predictive Control using state-dependent quadratic programs (QPs) with single-network residual-corrector architecture. Replaces expensive real-time NLP solving with differentiable interior-point QP layer, enabling deployment on resource-constrained hardware. Achieves orders-of-magnitude speedup while maintaining constraint satisfaction. Applications: robotics, autonomous systems, high-frequency control. Activation: amortized MPC, nonlinear MPC acceleration, QP-based ...Votes: 0GitHub stars: 3
- Analyzing Reinforcement Learning Benchmarks With Random Weight Guessing**arXiv ID:** 2004.07707 **Authors:** Declan Oller, Tobias Glasmachers, Giuseppe Cuccu **Published:** 2020-04-16T15:32:52Z **Abstract:** We propose a novel method for analyzing and visualizing the complexity of standard reinforcement learning (RL) benchmarks based on score distributions. A large number of policy networks are generated by randomly guessing their parameters, and then evaluated on the benchmark task; the study of their aggregated results provide insights into the benchmark compl...Votes: 0GitHub stars: 3
- Approximately Optimal Search On A Higherdimensional Sliding Puzzle**arXiv ID:** 2412.01937 **Authors:** Nono SC Merleau, Miguel O'Malley, Érika Roldán, Sayan Mukherjee **Published:** 2024-12-02T19:59:06Z **Abstract:** Higher-dimensional sliding puzzles are constructed on the vertices of a $d$-dimensional hypercube, where $2^d-l$ vertices are distinctly coloured. Rings with the same colours are initially set randomly on the vertices of the hypercube. The goal of the puzzle is to move each of the $2^d-l$ rings to pre-defined target vertices on the cube. In th...Votes: 0GitHub stars: 3
- Approximating Gradients For Differentiable Quality Diversity In Reinforcement Learning**arXiv ID:** 2202.03666 **Authors:** Bryon Tjanaka, Matthew C. Fontaine, Julian Togelius, Stefanos Nikolaidis **Published:** 2022-02-08T05:53:55Z **Abstract:** Consider the problem of training robustly capable agents. One approach is to generate a diverse collection of agent polices. Training can then be viewed as a quality diversity (QD) optimization problem, where we search for a collection of performant policies that are diverse with respect to quantified behavior. Recent work shows that ...Votes: 0GitHub stars: 3
- Arex Towards A Recursively Self Improving Agent ForAREX: Towards a Recursively Self-Improving Agent for Deep ResearchVotes: 0GitHub stars: 3
- Artificial Intellgence Application In Life Sciences And Beyond The Upper Rhine Artificial Intelligence Symposium Urai 2021**arXiv ID:** 2112.05657 **Authors:** Karl-Herbert Schäfer, Franz Quint **Published:** 2021-12-10T16:43:01Z **Abstract:** The TriRhenaTech alliance presents the accepted papers of the 'Upper-Rhine Artificial Intelligence Symposium' held on October 27th 2021 in Kaiserslautern, Germany. Topics of the conference are applications of Artificial Intellgence in life sciences, intelligent systems, industry 4.0, mobility and others. The TriRhenaTech alliance is a network of universities in the Upper-R...Votes: 0GitHub stars: 3
- Arxiv 2307 12022 Latent Utility Q Learning For Preference AdaptiveLatent Utility Q-Learning for Preference-Adaptive Dynamic Treatment Regimes (arXiv: 2307.12022)Votes: 0GitHub stars: 3
- Arxiv 2510 03699 Dissecting Larval Zebrafish Hunting Using Deep ReiDissecting Larval Zebrafish Hunting using Deep Reinforcement Learning Trained RNN Agents (arXiv: 2510.03699)Votes: 0GitHub stars: 3
- Arxiv 2510 06277 Dynamic Object Masks As Goal Representations For VDynamic Object Masks as Goal Representations for Visual Goal-Conditioned Reinforcement Learning (arXiv: 2510.06277)Votes: 0GitHub stars: 3
- Arxiv 2511 04949 Deepforgeseal Latent Space Driven Semi Fragile WatDeepForgeSeal: Latent Space-Driven Semi-Fragile Watermarking for Deepfake Detection Using Adversarial Reinforcement Learning (arXiv: 2511.04949)Votes: 0GitHub stars: 3
- Arxiv 2601 03895 All Quadrant Bounded Clipping Grpo Closing The UnbAll-Quadrant Bounded Clipping GRPO: Closing the Unbounded Blind Spot for Stable and Generalizable Training (arXiv: 2601.03895)Votes: 0GitHub stars: 3
- Arxiv 2604 02721 Grandcode Achieving Grandmaster Level In CompetitiGrandCode: Achieving Grandmaster Level in Competitive Programming via Agentic Reinforcement Learning (arXiv: 2604.02721)Votes: 0GitHub stars: 3
- Arxiv 2605 25815 Behind Evomap Characterizing A Self Evolving AgentBehind EvoMap: Characterizing a Self-Evolving Agent-to-Agent Collaboration Network (arXiv: 2605.25815)Votes: 0GitHub stars: 3
- Arxiv 2606 00152 Privacypeek Auditing What Llm Based Agents AcquirePrivacyPeek: Auditing What LLM-Based Agents Acquire, Not Just What They Say (arXiv: 2606.00152)Votes: 0GitHub stars: 3
- Arxiv 2606 19380 Claybuddy A Framework Evaluation Mitigation Of CodClayBuddy: A Framework, Evaluation, & Mitigation of Coding Agent Failures (arXiv: 2606.19380)Votes: 0GitHub stars: 3
- Arxiv 2606 21140 Matching Matters A Fair Quality Efficiency BenchmaMatching Matters: A Fair Quality-Efficiency Benchmark for Command-Line Agents (arXiv: 2606.21140)Votes: 0GitHub stars: 3
- Arxiv 2606 29806 Accelerating Q Learning Through Efficient Value ShAccelerating Q-learning through Efficient Value-Sharing across Actions (arXiv: 2606.29806)Votes: 0GitHub stars: 3
- Arxiv 2607 20908 Multi Turn Rl With Structural And Performance AwarMulti-turn RL with Structural and Performance Aware Rewards for CUDA Kernel Generation (arXiv: 2607.20908)Votes: 0GitHub stars: 3
- Arxiv 2607 20926 Sciexplore Evaluating Autonomous Agents From ScienSciExplore: Evaluating Autonomous Agents from Scientific Navigation to Information Integration (arXiv: 2607.20926)Votes: 0GitHub stars: 3
- Arxiv 2607 20972 Delivery Not Storage Cue Anchored Working Memory ADelivery, Not Storage: Cue-Anchored Working Memory as a Harness Property for Coding Agents (arXiv: 2607.20972)Votes: 0GitHub stars: 3
- Arxiv 2607 20982 Guardianagentbench Where Agents Fail And How To GuGuardianAgentBench: Where Agents Fail and How to Guard Them (arXiv: 2607.20982)Votes: 0GitHub stars: 3
- Arxiv 2607 21106 Attrimem Attribution Guided Process Feedback For AAttriMem: Attribution-Guided Process Feedback for Agent Memory Learning (arXiv: 2607.21106)Votes: 0GitHub stars: 3
- Arxiv 2607 21217 Icae Bench Evaluating Coding Agents As InteractiveICAE-Bench: Evaluating Coding Agents as Interactive Project Builders (arXiv: 2607.21217)Votes: 0GitHub stars: 3
- Arxiv 2607 21268 Pai Econ Claude A Gated Human In The Loop Multi AgpAI-Econ-claude: A Gated Human-in-the-Loop Multi-Agent Architecture for AI-Assisted Economic Theory (arXiv: 2607.21268)Votes: 0GitHub stars: 3
- Arxiv 2607 21273 The Dark Room In The Reward Channel Dense PredictiThe Dark Room in the Reward Channel: Dense Prediction Rewards Collapse GRPO-Trained LLM Agents -- an (arXiv: 2607.21273)Votes: 0GitHub stars: 3
- Arxiv 2607 21324 Gradrag Cross Component Prompt Adaptation For CoorGRADRAG: Cross-Component Prompt Adaptation for Coordinated Multi-Agent RAG (arXiv: 2607.21324)Votes: 0GitHub stars: 3
- Arxiv 2607 21325 Toward Cryptographically Verifiable AuthorizationToward cryptographically verifiable authorization for autonomous AI agents: A security hypothesis, p (arXiv: 2607.21325)Votes: 0GitHub stars: 3
- Arxiv 2607 21495 Toward Continuous Assurance For The DemocratizatioToward Continuous Assurance for the Democratization of AI Agent Creation in Industry (arXiv: 2607.21495)Votes: 0GitHub stars: 3
- Arxiv 2607 21503 Agentic Context Management Solving Agent Memory AnAgentic Context Management: Solving Agent Memory and Cost by Treating Them as Lifecycle and Architec (arXiv: 2607.21503)Votes: 0GitHub stars: 3
- Arxiv 2607 21518 Same Dangerous Objective Opposite Advice Direct ExSame Dangerous Objective, Opposite Advice: Direct Exposure versus Multi-Agent Mediation (arXiv: 2607.21518)Votes: 0GitHub stars: 3
- Arxiv 2608 01791 Picopilot An Llm Based Agentic Framework For AssisPICopilot: An LLM-based Agentic Framework for Assisting Photonic Integrated Circuit Design via Script Generation (arXiv: 2608.01791)Votes: 0GitHub stars: 3
- Arxiv 2608 03327 Screenshots Or Tools Eliciting Tool Use And ManagiScreenshots or Tools? Eliciting Tool Use and Managing Multimodal Context in Hybrid GUI-MCP Computer-Use Agents (arXiv: 2608.03327)Votes: 0GitHub stars: 3
- Arxiv 2608 03573 Sft Conflicts Rl Coexists A Theoretical And EmpiriSFT Conflicts, RL Coexists: A Theoretical and Empirical Analysis of Multi-Task Learning for LLMs (arXiv: 2608.03573)Votes: 0GitHub stars: 3
- Arxiv 2608 04562 What Is A Skill Worth Structure Aware Shapley ValuWhat Is a Skill Worth? Structure-Aware Shapley Valuation of Agent Skills (arXiv: 2608.04562)Votes: 0GitHub stars: 3
- Arxiv 2608 04588 Easy Towards Efficient Llm Based Agentic SystemEASy: Towards Efficient LLM-Based Agentic System (arXiv: 2608.04588)Votes: 0GitHub stars: 3
- Arxiv 2608 04719 Diagnosing Tool Selection Reasoning In Llm AgentsDiagnosing Tool-Selection Reasoning in LLM Agents with Canary Tools (arXiv: 2608.04719)Votes: 0GitHub stars: 3
- Arxiv 2608 04738 Evigraph Evidence Guided Autonomous Research AgentEviGraph: Evidence-Guided Autonomous Research Agents (arXiv: 2608.04738)Votes: 0GitHub stars: 3
- Arxiv 2608 04761 Insightemb Learning Action Intent Embeddings For AInsightEmb: Learning Action-Intent Embeddings for Agentic Insight Retrieval (arXiv: 2608.04761)Votes: 0GitHub stars: 3
- Arxiv 2608 04872 A Sr Self Evolving Agentic Llms For Symbolic RegreA-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination (arXiv: 2608.04872)Votes: 0GitHub stars: 3
- Arxiv 2608 04893 When Does Latent Communication Pay A Causal AuditWhen Does Latent Communication Pay? A Causal Audit of Relayed KV Caches in Multi-Agent LLMs (arXiv: 2608.04893)Votes: 0GitHub stars: 3
- Arxiv 2608 05026 Artanno Annotating Implicit Semantics In ArtworksArtAnno: Annotating Implicit Semantics in Artworks through LLM Agent-Driven Bidirectional Human-AI A (arXiv: 2608.05026)Votes: 0GitHub stars: 3