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Research
Research, evidence gathering, literature, reports, investigation, and synthesis
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Showing 12,049–12,072 of 21,385 skills
- Autoskill Experience Driven Skill SelfAutoSkill - Experience-Driven Skill Self-EvolutionVotes: 0GitHub stars: 3
- Agentic Evolution Path Evolving LlmsAgentic Evolution is the Path to Evolving LLMsVotes: 0GitHub stars: 3
- Agent0Agent0Votes: 0GitHub stars: 3
- Agent Skills Large LanguageAgent Skills for Large Language ModelsVotes: 0GitHub stars: 3
- Agentic Fusion MaterialsAgentic AI framework for materials discovery that synergizes Large Atomic Models (LAMs) with Large Language Models (LLMs). Use for designing autonomous materials discovery pipelines, integrating atomic-scale numerical computation with semantic reasoning, and accelerating novel material identification for energy and quantum applications.Votes: 0GitHub stars: 3
- Agentic Evidence Seeking ClinicalClinSeekAgent methodology for automated multimodal evidence seeking in clinical reasoning - shifting from passive evidence consumption to active evidence acquisition across heterogeneous medical data sourcesVotes: 0GitHub stars: 3
- Agentic Coding Expertise ReturnsAnalysis of ~400,000 Claude Code sessions showing domain expertise (not coding skill) determines success with coding agents. People make planning decisions; agents make execution decisions. Task value rose 25% over 7 months.Votes: 0GitHub stars: 3
- Agentic Behavioral ModelingAgentic Behavioral Modeling (ABM) framework integrating theoretical neuroscience, decision theory, and probabilistic inference. Treats AI agents as latent generative hypotheses about cognitive mechanisms for explaining human behavior. Activation triggers: agentic modeling, behavioral modeling, cognitive agents, decision theory, Rescorla-Wagner learning, Bayesian inference.Votes: 0GitHub stars: 3
- Arxiv To Skill Research WorkflowLightweight research workflow: search arXiv papers, select valuable ones, generate skills, sync to ai_collection, and update Obsidian wiki. No knowledge graph required. Use for: automated paper research, skill generation from academic papers, research note management, lightweight literature review. Keywords: arxiv research, paper to skill, research automation, skill generation, obsidian research notes, ai_collection sync.Votes: 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
- AkshareAccess Chinese financial market data via AkShare Python library. Use when user needs to fetch stock market data (A-shares, Hong Kong stocks, US stocks), futures data, fund data, macro economic indicators, bond data, foreign exchange, cryptocurrency, and other financial data from China. Trigger keywords: 股票数据, 期货数据, 基金数据, 宏观经济, 股票行情, 行情查询, 金融数据, A股, 港股, 美股, akshare.Votes: 0GitHub stars: 3
- Ai Scientific Workflow OrchestrationAI orchestration patterns for life sciences research workflows - connecting models to databases, tools, and multi-step scientific reasoning. Based on OpenAI GPT-Rosalind architecture.Votes: 0GitHub stars: 3
- Ai Collection Research SyncAutomated research pipeline for searching papers, extracting patterns, creating class-level skills, and syncing to ai_collection project + Obsidian + knowledge graphVotes: 0GitHub stars: 3
- Adult Neurogenesis Olfactory Representational StabilityAdult-neurogenesis dual role methodology — spiking network model showing how continuous addition of new neurons supports both odor representational stability and flexibility in olfactory circuits.Votes: 0GitHub stars: 3
- Adiabatic Quantum Optimization TunnelingAdiabatic Quantum Optimization methodology analyzing quantum tunneling gains for convex functions with spikes. Extends Hamming Weight with a Spike analysis to general log-concave potentials. Use when analyzing AQO tunneling speedups, designing adiabatic optimization schedules, or studying log-concave optimization landscapes.Votes: 0GitHub stars: 3
- Adaptive Graph Diffusion SnnMorphSNN: Adaptive Graph Diffusion and Structural Plasticity for Spiking Neural - Bio-inspired undirected diffusion for signal propagation in . Activation triggers: adaptive, graph, diffusion, neuroscience, SNN.Votes: 0GitHub stars: 3
- Adaptive Frequency Resonate And Fire Spectral EstimationAdaptive-Frequency Resonate-and-Fire (ARF) neurons for spectral estimation of streaming signals. Neuromorphic-inspired method that dynamically adjusts internal frequency to match dominant frequency components, enabling real-time range/velocity estimation in FMCW radar and neural signal processing.Votes: 0GitHub stars: 3
- Adaptive Confidence Gated Qec DecodingTwo-stage adaptive confidence-gated neural decoding framework for quantum error correction — lightweight neural fast-path with high-confidence fallback to classical refinement. Use when designing real-time QEC decoding, neural-classical hybrid inference, confidence-gated routing, latency-constrained quantum control, or hardware-aware QEC co-design. Activation: confidence gating, two-stage decoding, neural decoder, QEC latency, surface code, MWPM refinement, accuracy-latency tradeoff, rotated ...Votes: 0GitHub stars: 3
- Activity Regeneration Transient Synaptic MemoryA minimal neuronal network model with finite-lifetime synapses to study activity regeneration from silent states via transient synaptic memory. Use when modeling neuronal network dynamics, short-term memory, or silent-state reactivation.Votes: 0GitHub stars: 3
- Active Sensing Task Level ControlTheoretical framework proposing that active sensing (movement for information) is not driven by sensory goals but is necessary for task-level control, with explore/exploit mode switching. Based on arXiv:2605.22988 (May 2026). Use when studying active sensing, sensorimotor control, explain/exploit behavioral modes, or bio-inspired robotic control systems.Votes: 0GitHub stars: 3
- Active Predictive Filtering Spiking TransformerActive Predictive Filtering paradigm for Spiking Transformers. Inspired by the brain's predictive coding mechanism, actively suppresses predictable signals and focuses on salient visual features. Activation: active predictive filtering, spiking transformer, predictive coding SNN, SAFformer, attention filtering, visual attention SNN.Votes: 0GitHub stars: 3
- Action Potentials SolitonsFramework for understanding nerve pulse propagation using soliton theory, connecting nonlinear wave dynamics to action potential generation and propagation in neurons.Votes: 0GitHub stars: 3
- Aallm Analog Circuit Design LlmAaLLM for LLM analog circuit design.Votes: 0GitHub stars: 3
- 81k Ai ExpectationsMethodology from Anthropic's largest multilingual qualitative study (March 2026) — understanding how users use AI, what they dream it could enable, and what they fear.Votes: 0GitHub stars: 3