100m5-onboardSkillLLM & Model APIs End-to-end onboarding for a freshly-plugged-in M5Stack ESP32 device (Cardputer, Cardputer-Adv, Core, CoreS3, Stick) — detect on USB, flash UIFlow 2.0 firmware, and install the Clau
100agentic-engineeringSkillLLM & Model APIs Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing.
100foundation-models-on-deviceSkillLLM & Model APIs Apple FoundationModels framework for on-device LLM — text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS 26+.
100few-shot-example-genSkillLLM & Model APIs Few-shot example generation and optimization for improved LLM performance
100huggingface-classifierSkillLLM & Model APIs Hugging Face transformer model fine-tuning and inference for intent classification
100llm-classifierSkillLLM & Model APIs LLM-based zero-shot and few-shot classification for flexible intent detection
100opentelemetry-llmSkillLLM & Model APIs OpenTelemetry instrumentation for LLM applications with distributed tracing
100spacy-nerSkillLLM & Model APIs spaCy NER model training and entity extraction for conversational AI
100flow-network-builderSkillLLM & Model APIs Model optimization problems as network flow problems
100BI Semantic Layer GeneratorSkillLLM & Model APIs Generates semantic layer definitions for BI tools from dimensional models
100Dimensional Model ValidatorSkillLLM & Model APIs Validates dimensional models against Kimball methodology best practices
100aeja-robustnessSkillLLM & Model APIs Use when an American Economic Journal: Applied Economics (AEJ: Applied) manuscript's headline estimate must be shown to survive specification, sample, and inference choices before
100aejmac-literature-positioningSkillLLM & Model APIs Use when the contribution of an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript relative to the macro frontier is fuzzy, contested, or undersold. Frames the margi
100aejmac-robustnessSkillLLM & Model APIs Use when the headline result of an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript must be shown stable across specification, sample, identification, and tuning c
100aejmac-tables-figuresSkillLLM & Model APIs Use when building or revising exhibits for an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript — impulse-response figures, fan charts, model-fit overlays, and regr
100aejmic-robustnessSkillLLM & Model APIs Use when extensions, edge cases, or applied robustness checks are missing for an American Economic Journal: Microeconomics (AEJ: Micro) manuscript — covering theory extensions (rel
100aejmic-tables-figuresSkillLLM & Model APIs Use when presenting results for an American Economic Journal: Microeconomics (AEJ: Micro) manuscript — propositions, numerical examples, schematic theory figures, and empirical/exp
100atc-review-processSkillLLM & Model APIs Use when reasoning about how an ATC (ACM SIGOPS Annual Technical Conference, formerly USENIX ATC) submission is evaluated — the two-round extended-abstract model, the round-one gat
100amj-tables-figuresSkillLLM & Model APIs Use when building or cleaning the tables and figures for an Academy of Management Journal (AMJ) manuscript — correlation tables, regression/SEM/HLM result tables, the theoretical-m
100amr-tables-figuresSkillLLM & Model APIs Use when building the conceptual exhibits of an Academy of Management Review (AMR) manuscript — process models, 2x2 typologies, multi-level frameworks, and propositions tables that
100agsy-data-and-model-evaluationSkillLLM & Model APIs Use when evaluating the model and analyzing results for an Agricultural Systems (AgSy) manuscript so it survives expert systems review — independent model evaluation (observed vs.
100agsy-figures-and-tablesSkillLLM & Model APIs Use when building figures and tables for an Agricultural Systems (AgSy) manuscript so exhibits communicate interactions, dynamics, trade-offs, and model performance clearly. AgSy i
100amanthro-data-analysisSkillLLM & Model APIs Use when executing and reporting the analysis/interpretation for an American Anthropologist (AA) manuscript so it survives expert anonymous review — disciplined ethnographic/qualit
100ariaSkillLLM & Model APIs Designs the data model, API contracts, and structural foundation of the system.
100ai-inference-service-meshSkillLLM & Model APIs Use verified service mesh patterns for AI inference traffic management, mTLS,
100ai-sre-incident-responseSkillLLM & Model APIs Build AI-focused SRE incident response practices for LLM outages, degraded
100ai-wrapper-productSkillLLM & Model APIs Expert in building products that wrap AI APIs (OpenAI, Anthropic,
100atlas-cloud-mediaSkillLLM & Model APIs Generate Atlas Cloud images and videos through its asynchronous media API with schema-first model selection and credential-safe polling.
100cassette-modelSkillLLM & Model APIs Show or change the Cassette editing model and thinking level for the current media session. Invoke only when the user explicitly asks for the model picker, wants to inspect the cur
100goal-convergenceSkillLLM & Model APIs Goal-oriented autonomous loop with external completion oracle. Keeps iterating until verifiable stopping conditions are met, checked by a separate model.
100nanoclaw-replSkillLLM & Model APIs Operate and extend NanoClaw v2, ECC's zero-dependency session-aware REPL built on claude -p.
100regex-vs-llm-structured-textSkillLLM & Model APIs Decision framework for choosing between regex and LLM when parsing structured text — start with regex, add LLM only for low-confidence edge cases.
97convex-explain-appSkillLLM & Model APIs Explain an existing Convex app — data model + relationships, public vs internal functions, auth/ownership model, components, a request→data flow — read from the schema and function
95projection-patternsSkillLLM & Model APIs Build read models and projections from event streams. Use when implementing CQRS read sides, building materialized views, or optimizing query performance in event-sourced systems.
94Apache Kafka Schema ExtractorSkillLLM & Model APIs Extracts and transforms Avro, Protobuf, and JSON Schema definitions from Confluent Schema Registry. Generates typed data models and validates schema compatibility using the Schema
94gemini-visionSkillLLM & Model APIs Analyze images using Google Gemini 2.0 Flash with proxy support, retry logic, and mock mode.
94ai-inference-service-meshSkillLLM & Model APIs Use service mesh patterns for AI inference traffic management, mTLS,
94ai-sre-incident-responseSkillLLM & Model APIs Build AI-focused SRE incident response practices for LLM outages, degraded
94ariaSkillLLM & Model APIs Designs the data model, API contracts, and structural foundation of the system.
93training-and-inferenceSkillLLM & Model APIs Routes training, fine-tuning, validation, checkpoint, and
93big-model-inferenceSkillLLM & Model APIs Use Accelerate big-model inference utilities for meta
93policy-trainingSkillLLM & Model APIs Routes ACT, CNNMLP, Diffusion Policy, and latent-model training or
93adelai-detSkillLLM & Model APIs Routes AdelaiDet users through legacy-compatible setup, model
93estimators-and-modelsSkillLLM & Model APIs Choose and configure ART estimator wrappers for sklearn, PyTorch,
93model-based-rlSkillLLM & Model APIs Guides AI-Optimizer model-based RL baselines, world-model
93aimetSkillLLM & Model APIs Route AIMET install, PyTorch/ONNX quantization, GenAILab, model
93genai-labSkillLLM & Model APIs Run and configure AIMET GenAILab LLM/VLM quantization scorecards
93torch-quantizationSkillLLM & Model APIs Use AIMET Torch for model preparation, QuantizationSimModel
93interpretable-modelsSkillLLM & Model APIs Choose and operate AIX360's directly interpretable models, rule
93remote-reward-modelsSkillLLM & Model APIs Operate Align-Anything remote reward servers, payload checks, and
93alpamayo-r1SkillLLM & Model APIs Router for Alpamayo R1 multimodal driving inference and trajectory sampling.
92general-knowledge-reasoningSkillLLM & Model APIs Apply general knowledge reasoning across diverse domains — trivia, commonsense inference, analogy, and factual question answering.
92visual-pattern-inductionSkillLLM & Model APIs Induce visual patterns from examples — few-shot visual reasoning, grid-based pattern recognition, and ARC-style inductive inference.
92bubble-tea-scaffolderSkillLLM & Model APIs Generate Bubble Tea (Go) TUI application structure with models, commands, and views using the Elm architecture.
92domain-model-extractorSkillLLM & Model APIs Extract domain models from monolithic codebases using DDD principles for microservices decomposition
92openapi-generatorSkillLLM & Model APIs Generate OpenAPI specifications from code or legacy APIs with schema inference and documentation
92vision-extractionSkillLLM & Model APIs Extract structured data from images and documents using vision models — OCR, layout analysis, table extraction, and visual document parsing.
92validating-ai-ethics-and-fairnessSkillLLM & Model APIs Validate AI/ML models and datasets for bias, fairness, and ethical concerns.
91kb-arbitration-difc-lcia-sboghossianSkillLLM & Model APIs Use when dealing with arbitration clauses or proceedings under the former DIFC-LCIA Arbitration Centre, which operated from 2008 until its dissolution under Dubai Decree 34/2021. C
91add-top-openrouter-models
SkillLLM & Model APIs Sync OpenRouter models used by OpenClaw into this installation's config. Fetches the OpenClaw app leaderboard from OpenRouter, verifies model IDs against the API catalog, and adds
91chip-seq-read-alignment-filteringSkillLLM & Model APIs Use when when beginning peak calling on ChIP-Seq data: you have raw single-end or paired-end BED/BEDPE alignment files for both ChIP and control samples and need to remove duplicat
91cross-modality-embedding-integrationSkillLLM & Model APIs Use when you have paired scATAC-seq peak matrices and scRNA-seq gene expression matrices from the same cells (multiome data) and need to perform joint clustering, visualization, or
91large-scale-single-cell-matrix-loadingSkillLLM & Model APIs Use when you have a single-cell count matrix with 10 million or more cells that must be processed through dimension reduction, clustering, or integration pipelines. Use it specific
91local-background-estimation-multiple-scalesSkillLLM & Model APIs Use when when performing ChIP-Seq peak calling with MACS3, after duplicate filtering and fragment length prediction (d), to construct the background model that will be compared aga
91monocle3-trajectory-embeddingSkillLLM & Model APIs Use when you have an ArchR project object with dimensionality reduction results (LSI or combined dimensions from scATAC-seq ± scRNA-seq) and want to infer pseudotime trajectories a
91multiome-data-ingestion-paired-modalitiesSkillLLM & Model APIs Use when you have independently generated or received both scATAC-seq peak count matrices and scRNA-seq gene expression matrices from the same set of cells (multiome experiment), a
91single-cell-atac-fragment-import-processingSkillLLM & Model APIs Use when you have aligned single-cell ATAC-seq data as BAM files or fragment files (TSV format with genomic coordinates) and need to prepare it for spectral embedding, clustering,
91single-cell-atac-seq-dimensionality-reductionSkillLLM & Model APIs Use when after loading and preprocessing raw scATAC-seq data into an ArchR project object when you need to compute low-dimensional embeddings for clustering, UMAP/tSNE visualizatio
91single-cell-epigenomics-peak-analysisSkillLLM & Model APIs Use when you have preprocessed single-cell ATAC-seq fragment files or count matrices and need to identify open chromatin regions (peaks) to support downstream differential accessib
91spectral-embedding-dimension-reduction-parametersSkillLLM & Model APIs Use when after generating a tile matrix or feature count matrix from single-cell ATAC-seq, RNA-seq, Hi-C, or methylation data, before clustering or UMAP visualization, when you nee
91stream-trajectory-data-formattingSkillLLM & Model APIs Use when you have completed peak calling and cell annotation in ArchR and want to perform trajectory inference or visualization in STREAM. Apply it specifically when your analysis
91tile-matrix-generation-counting-strategy-selectionSkillLLM & Model APIs Use when after importing fragment files into AnnData using pp.import_fragments and before performing spectral embedding (tl.spectral) or other dimension reduction.
91trajectory-inference-method-selectionSkillLLM & Model APIs Use when when you have an ArchR project object with processed single-cell ATAC-seq data and want to infer developmental or cell-state trajectories.
91accuracy-metric-computationSkillLLM & Model APIs Use when after running inference on a trained structure prediction model with one or more input modalities (1H NMR, 13C NMR, or combined), you have generated predicted molecular fo
91adduct-assignment-accuracy-assessmentSkillLLM & Model APIs Use when you have a trained formula ranking model (such as MIST-CF) and want to measure the specific performance gain from incorporating multiple positive-mode adduct types (e.g.,
91adduct-specific-model-fine-tuningSkillLLM & Model APIs Use when when you have access to annotated MS/MS spectra from a specific ionization mode (e.g., negative ESI) or adduct class (e.
91api-contract-validationSkillLLM & Model APIs Use when integrating with an external API (such as TensorFlow Serving) where changes to the response schema could break dependent code, or when model metadata must be extracted and
91atom-bond-feature-importance-rankingSkillLLM & Model APIs Use when you have a trained GNN model for molecular property prediction (such as CCS) and need to understand which atomic and bond features are most influential in driving predicti
91background-distribution-threshold-calibrationSkillLLM & Model APIs Use when when you have trained a predictive model (e.g., neural network or regression model) that outputs continuous scores (such as Spearman correlation coefficients) for individu
91batch-normalization-implementationSkillLLM & Model APIs Use when apply batch normalization after dense hidden layers (but not the final embedding layer) in a deep neural network trained on MS/MS spectral data, particularly when the netw
91ariaSkillLLM & Model APIs Designs the data model, API contracts, and structural foundation of the system.
91economics-concept-lessonSkillLLM & Model APIs Teach an economics concept using incentives, constraints, models, assumptions, graphs or equations, examples, and policy relevance when appropriate.
91model-and-graph-analysisSkillLLM & Model APIs Teach how to construct, read, shift, and interpret economic models and graphs while keeping causal assumptions explicit.
91engineering-mastery-checkSkillLLM & Model APIs Check engineering understanding through model selection, estimation, analysis, tradeoff reasoning, and recognition of unsafe assumptions.
91scientific-reasoningSkillLLM & Model APIs Teach hypothesis formation, experimental logic, variables, controls, measurement, uncertainty, causal inference, and interpretation of scientific evidence.
91model-and-diagram-reasoningSkillLLM & Model APIs Build and interpret free-body diagrams, field diagrams, energy representations, graphs, and simplified physical models.
91physics-concept-lessonSkillLLM & Model APIs Teach a physics concept using physical intuition, governing relationships, units, diagrams-in-words, examples, and model limits.
91physics-problem-solvingSkillLLM & Model APIs Teach quantitative physics problem solving through representation, knowns and unknowns, model selection, calculation, units, and plausibility checks.
91model-selectionSkillLLM & Model APIs Select an AI model for a real workload using representative evaluations, current official capability and pricing data, latency and cost measurements, operational constraints, and e
91license-reviewSkillLLM & Model APIs Review source code, dependencies, assets, data, models, fonts, media, and other redistributed material for identified license terms, provenance, compatibility, notices, attribution
91causal-inference-reviewSkillLLM & Model APIs Assess whether available observational or quasi-experimental evidence supports a causal conclusion and select a defensible identification strategy when possible.
91forecasting-modelSkillLLM & Model APIs Build and evaluate a forecast with time-aware validation, baselines, uncertainty intervals, covariates, and scenario sensitivity.
91replication-consistencySkillLLM & Model APIs Implement replicated state with an explicit consistency model, conflict policy, convergence mechanism, and durability/recovery behavior.
91openhandsSkillLLM & Model APIs Delegate coding to OpenHands CLI (model-agnostic, LiteLLM).
91outlinesSkillLLM & Model APIs Outlines: structured JSON/regex/Pydantic LLM generation.
91instructorSkillLLM & Model APIs Extract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse complex JSON with type safety, and stream partial results with In
91obliteratusSkillLLM & Model APIs OBLITERATUS: abliterate LLM refusals (diff-in-means).
91sparse-autoencoder-trainingSkillLLM & Model APIs Provides guidance for training and analyzing Sparse Autoencoders (SAEs) using SAELens to decompose neural network activations into interpretable features. Use when discovering inte
91simpo-trainingSkillLLM & Model APIs Simple Preference Optimization for LLM alignment. Reference-free alternative to DPO with better performance (+6.4 points on AlpacaEval 2.0). No reference model needed, more efficie
91distributed-llm-pretraining-torchtitanSkillLLM & Model APIs Provides PyTorch-native distributed LLM pretraining using torchtitan with 4D parallelism (FSDP2, TP, PP, CP). Use when pretraining Llama 3.1, DeepSeek V3, or custom models at scale
91llm-wikiSkillLLM & Model APIs Karpathy's LLM Wiki: build/query interlinked markdown KB.
91ortools-pickup-delivery-routingSkillLLM & Model APIs Model OR-Tools paired pickup-and-delivery routing problems, including PDPTW, dial-a-ride, paratransit, patient transport, and courier jobs with same-vehicle pairing, precedence, ca
91ortools-pickup-delivery-routingSkillLLM & Model APIs Model OR-Tools paired pickup-and-delivery routing problems, including PDPTW, dial-a-ride, paratransit, patient transport, and courier jobs with same-vehicle pairing, precedence, ca
91routing-subtour-eliminationSkillLLM & Model APIs Subtour-elimination methods for TSP, VRP, pickup/dropoff routing, and routing MIPs with binary arc variables. Use when route-continuity constraints may permit disconnected cycles a
91evolveSkillLLM & Model APIs Create, extend, repair, or verify Local web and API services, including model-generation actions and improvements discovered during ordinary use.
91manage-providersSkillLLM & Model APIs Inspect, add, connect, customize, refresh, or restore model providers and their model lists in this Ox installation.
91model-fine-tuningSkillLLM & Model APIs Use when fine-tune LLMs and ML models — LoRA, QLoRA, PEFT, Hugging Face.
91omniroute-integrationSkillLLM & Model APIs Use when integrate with OmniRoute AI Router for multi-provider LLM routing,
89pave-catalogSkillLLM & Model APIs Build a service catalog — schema, starter entries, and governance model. Produces what information to capture per service, how it's maintained, and where it lives. Use when asked t
89work-decompositionSkillLLM & Model APIs Decompose goals into MEOWs (Molecular Expressions of Work) - trackable atomic units following Gas Town's bead-based work model.
89external-tool-coordinationSkillLLM & Model APIs Coordinate external AI tool integration (OpenAI Codex, Google Gemini) for cross-model adversarial review and delegated implementation.
89guardrails-ai-setupSkillLLM & Model APIs Guardrails AI validation framework setup for LLM applications. Implement input/output validation, safety checks, and structured output enforcement.
89cortex-evalSkillLLM & Model APIs Evaluate model performance — check for accuracy drops, data drift, and error patterns. Use when asked about "model accuracy dropped", "evaluate the model", "check for drift", or "m
89cortex-modelSkillLLM & Model APIs Build an ML pipeline — from data to trained model to serving endpoint. Use when asked to "build ML model", "train a model", "prediction pipeline", "classification", or "regression"
89text-creatorSkillLLM & Model APIs 通过指导agent智能调度 Deepseek、Kimi、Claude 等顶尖文本模型,按办公任务类型自动匹配最优模型与调用策略,完成周报纪要、合同要点、邮件拟稿、多语言稿件、长报告总结、汇报大纲、多步推理与结构化改写,支持长文档处理。
88bio-atac-seq-co-accessibilitySkillLLM & Model APIs Infer cis-regulatory connections (peak-to-peak co-accessibility) from scATAC-seq using Cicero, ArchR getCoAccessibility, or SCENIC+. Use when linking enhancer accessibility to prom
88mortality-modelingSkillLLM & Model APIs Model age-specific mortality rates and project future longevity improvements using the Lee-Carter bilinear log-mortality decomposition.
88mortality-modelsSkillLLM & Model APIs Life tables, mortality laws, survival analysis, longevity risk modeling, and population projections
88initSkillLLM & Model APIs Initialize a new CLAUDE.md file with codebase documentation
88deepfaceSkillLLM & Model APIs Use DeepFace for face recognition, verification, embeddings, face
88model-and-backend-selectionSkillLLM & Model APIs Select and troubleshoot DeepFace models, detector backends,
88subject-folder-binderSkillLLM & Model APIs Package the approved subject-sorting working set for the organized LLM, trapped_ion_and_qc, black_hole, DNA, and music_history folders into a compact continuation packet, and recor
88ai-wrapper-productSkillLLM & Model APIs Expert in building products that wrap AI APIs (OpenAI, Anthropic,
88eval-harnessSkillLLM & Model APIs Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles
88deactivateSkillLLM & Model APIs Deactivate the Flowy claude-scholar overlay for this session (clears its routing obligation).
88statusSkillLLM & Model APIs Report whether the Flowy claude-scholar overlay is active and whether the enforcement hook is live this session.
88leeway-formula-authority-recoverySkillLLM & Model APIs Recover, verify, preserve and reuse proven LeeWay Formula authority before replacing evaluator contracts or runtime bindings. Resolve configured authority resources without dependi
88verification-loopSkillLLM & Model APIs A comprehensive verification system for Claude Code sessions.
88setupSkillLLM & Model APIs Configure the current repository for the team: .claude/settings.json, .gitignore entries, CLAUDE.md.
88inference-backendSkillLLM & Model APIs Flask inference backend on Hugging Face Spaces: job lifecycle, endpoints, telemetry, model loading, limits, proxy routes.
88onboardSkillLLM & Model APIs Generate or refresh CLAUDE.md from the repository (stack, run commands, data layout, conventions).
88train-templateSkillLLM & Model APIs Structure for a PyTorch segmentation training script: resume, early stopping, cosine LR, AMP, full-state checkpoints, tiled inference.
88boundary-inferenceSkillLLM & Model APIs Chunked low-RAM boundary model inference over an AOI from XYZ tiles: tile cache, patch scan, Hanning blending, hysteresis, merged COG.
88landuse-classifySkillLLM & Model APIs Train or run the XGBoost land-use classifier: classes, T-minus alignment, model bundle, unified parcel/sub-parcel inference, predictions.gpkg.
88Angular Signal State PatternSkillLLM & Model APIs Model feature state with signals while keeping derived state and effects separated.
88release-modelSkillLLM & Model APIs Creates, upgrades, or audits RELEASING.md branching policy. Use when
88release-modelSkillLLM & Model APIs Creates, upgrades, or audits RELEASING.md branching policy. Use when
88release-modelSkillLLM & Model APIs Creates, upgrades, or audits RELEASING.md branching policy. Use when defining a release process, adding maintenance branches, or checking release-model drift.
88delegateSkillLLM & Model APIs Live in-session delegation from Claude to Codex via the approval/delegation packet contract
88delegateSkillLLM & Model APIs Live in-session delegation from Claude to Codex via the approval/delegation packet contract
88oculpm-codexSkillLLM & Model APIs Use ocul-pm journals and planners from Codex without relying on Claude-only plugin variables.
88laravel-scope-dont-check-after-fetchSkillLLM & Model APIs Use when a route resolves an id from the request into a model: never findOrFail then an ownership check, always load through the relationship the caller actually has.
88laravel-seed-new-featuresSkillLLM & Model APIs Use when a change introduces or changes persisted data (a new model, an extended enum, a new column): ship its seed data in the same change, not three weeks later.
87eval-harnessSkillLLM & Model APIs Framework formal de evaluación para sesiones de Claude Code que implementa principios de desarrollo orientado a evals (EDD)
87verification-loopSkillLLM & Model APIs Sistema de verificación completo para sesiones de Claude Code.
87ai-wrapper-productSkillLLM & Model APIs Expert in building products that wrap AI APIs (OpenAI, Anthropic,
86claude-codeSkillLLM & Model APIs Anthropic's official AI-powered coding companion. Use when user wants to run claude-code CLI, needs help with code using Anthropic's Claude, or mentions claude-code, anthropic codi
86agentic-fusion-materialsSkillLLM & Model APIs Agentic AI framework for materials discovery that synergizes Large Atomic Models (LAMs) with Large Language Models (LLMs). Use for designing autonomous materials discovery pipeline
86complex-valued-kuramoto-network-controlSkillLLM & Model APIs Complex-Valued Kuramoto Networks control framework - unified control-theoretic approach for synchronization in coupled oscillator networks via complex state space embedding. Activa
86computational-auditory-periphery-modelsSkillLLM & Model APIs Cross-species computational modeling of the auditory periphery using 1-D nonlinear cochlear transmission-line models adapted across human, mouse, and gerbil. Covers species-specifi
86cornn-convex-rnn-optimizationSkillLLM & Model APIs CORNN凸优化递归神经网络方法论。将RNN训练转化为凸优化问题,训练速度比传统方法快100倍,支持百万参数RNN在标准计算机上亚分钟级训练。适用于大规模神经记录实时建模、神经动力学推断、吸引子结构恢复。触发词:RNN训练、凸优化、神经动力学、实时建模、数据约束RNN、convex optimization、recurrent neural network、
86cortical-microcircuit-information-flux-optimizationSkillLLM & Model APIs Simulation-based reverse engineering methodology for analyzing how cortical microcircuits optimize information flux (mutual information between successive network states). Use when
86discounted-mpc-plant-model-mismatchSkillLLM & Model APIs Discounted MPC under plant-model mismatch - stability and suboptimality analysis for infinite-horizon optimal control with surrogate models. Activation: MPC, model predictive contr
86integrative-neurocybernetic-modelingSkillLLM & Model APIs Integrative neurocybernetic modeling framework for large-scale neuroscience. Treats brain as controller pursuing latent objectives in closed-loop coupling with body and environment
86neuro-bursty-persistent-networksSkillLLM & Model APIs Bursty Persistent Brain Network (PBN) modeling methodology for neural dynamics with non-Markovian temporal structure. Combines renewal theory, state-dependent intensity functions,
86neurocybernetic-modeling-large-scaleSkillLLM & Model APIs Integrative neurocybernetic modeling in the era of large-scale neuroscience. Closed-loop brain-body-environment models, nonlinear state-space, meta-dynamical extensions, knowledge
86physical-foundation-models-pfmSkillLLM & Model APIs Physical Foundation Models (PFMs) — Fixed hardware implementations of large-scale neural networks where parameters are realized directly in physical substrate dynamics. Use when: d
86physical-foundation-modelsSkillLLM & Model APIs Physical Foundation Models (PFMs): Fixed hardware implementations of large-scale neural networks realized directly in physical materials. Covers optical, nanoelectronic, and other
86plant-model-mismatch-mpcSkillLLM & Model APIs Model Predictive Control under plant-model mismatch - stability and suboptimality guarantees. Handles model uncertainty in control systems. Activation: MPC, model mismatch, robust
86poisson-gradient-estimationSkillLLM & Model APIs Systematic comparison of Poisson gradient estimation methods (EAT vs GSM) for latent variable models in computational neuroscience. Activation: poisson gradient, EAT method, Gumbel
86relaxation-informed-surrogate-trainingSkillLLM & Model APIs Relaxation-Informed Training (RIT) for neural network surrogate models enabling exact MILP embedding with reduced binary variables. Activation triggers: surrogate optimization, MIL
86self-orthogonalizing-attractor-networksSkillLLM & Model APIs Formalizes how attractor networks emerge from the free energy principle applied to universal partitioning of random dynamical systems. Results in self-orthogonalizing attractor rep
86spike-driven-large-language-model-sdllmSkillLLM & Model APIs Spike-driven Large Language Model (SDLLM) methodology. Eliminates dense matrix multiplications in LLMs through sparse addition operations using gamma-SQP two-step spike encoding. R
86spike-driven-large-language-modelSkillLLM & Model APIs Spike-driven Large Language Model - Spike-based computation for large language models. Activation triggers: spike, driven, large, neuroscience, SNN.
86stateful-streaming-transformer-inferenceSkillLLM & Model APIs Stateful streaming transformer inference methodology with persistent KV cache, Flash Queries prefetching, and multi-tenant continuous-batching for efficient streaming workloads.
86training-free-looped-transformersSkillLLM & Model APIs Training-free looped transformers — inference-time technique that loops a contiguous mid-stack block of layers in a frozen pretrained LLM to improve reasoning without fine-tuning.
86wavemoe-time-seriesSkillLLM & Model APIs Wavelet-Enhanced Mixture-of-Experts (WaveMoE) foundation model for time series forecasting. Use when building time series prediction models, incorporating frequency-domain informat
862028-ai-leadership-scenariosSkillLLM & Model APIs Methodology from Anthropic policy analysis examining possible trajectories for US-China AI competition by 2028 — focusing on compute advantage, export controls, distillation attack
8681k-ai-expectationsSkillLLM & Model APIs Methodology for understanding how users use AI, what they dream it could enable, and what they fear based on Anthropic's large multilingual qualitative study.