All authors
Claude Skills by majiayu000
github.com/majiayu00015,497 skills907 installs34,333 views
- Pysam Victory Hugo S2 Agent Skill基因组文件工具包。读写SAM/BAM/CRAM比对文件、VCF/BCF变异文件、FASTA/FASTQ序列，提取区域，计算覆盖度，用于NGS数据处理管道。Votes: 0GitHub stars: 666
- Pytdc K Dense Ai Scientific Agent Ski 2Therapeutics Data Commons. AI-ready drug discovery datasets (ADME, toxicity, DTI), benchmarks, scaffold splits, molecular oracles, for therapeutic ML and pharmacological prediction.Votes: 0GitHub stars: 666
- Pytorch Lightning K Dense Ai Scientific Agent Ski 2Deep learning framework (PyTorch Lightning / lightning package). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, logging (W&B, TensorBoard, MLflow), distributed training (DDP, FSDP, DeepSpeed), for scalable neural network training.Votes: 0GitHub stars: 666
- Qdrant Giuseppe Trisciuogli Developer KitProvides Qdrant vector database integration patterns with LangChain4j. Handles embedding storage, similarity search, and vector management for Java applications. Use when implementing vector-based retrieval for RAG systems, semantic search, or recommendation engines.Votes: 0GitHub stars: 666
- Qe Learning Optimization Proffesor For Testin Agentic Qe 2Transfer learning, metrics optimization, and continuous improvement for AI-powered QE agents.Votes: 0GitHub stars: 666
- Qiskit K Dense Ai Scientific Agent Ski 2IBM quantum computing framework. Use when targeting IBM Quantum hardware, working with Qiskit Runtime for production workloads, or needing IBM optimization tools. Best for IBM hardware execution, quantum error mitigation, and enterprise quantum computing. For Google hardware use cirq; for gradient-based quantum ML use pennylane; for open quantum system simulations use qutip.Votes: 0GitHub stars: 666
- Quantconnect Optimization Derekcrosslu Claude Code Explore 01cceQuantConnect optimization API and Phase 4 parameter tuning (project)Votes: 0GitHub stars: 666
- Quantconnect Validation Derekcrosslu Claude Code Explore 9b11f2cQuantConnect walk-forward validation and Phase 5 robustness testing (project)Votes: 0GitHub stars: 666
- Quantum Distribution GeneratorUse AgentPMT external API to run the Quantum Distribution Generator tool with wallet signatures, credits purchase, or credits earned from jobs.Votes: 0GitHub stars: 666
- Quantum Expert Personamanagmentlaye Pcl 2Expert-level quantum computing, Qiskit, quantum algorithms, and quantum informationVotes: 0GitHub stars: 666
- Quantum Guitar Plurigrid Asi 2Coecke's Quantum Guitar: quantising guitar strings via qubit association, ZX-calculus notation, Moth Actias synth integrationVotes: 0GitHub stars: 666
- Quantum MusicQuantum computer music composition and performance using quantum circuits, ZX-calculus notation, and quantum instrumentsVotes: 0GitHub stars: 666
- Quick WinsImplements ZenML quick wins to enhance MLOps workflows. Investigates codebase and stack configuration, recommends high-priority improvements, and implements metadata logging, experiment tracking, alerts, scheduling, secrets management, tags, git hooks, HTML reports, and Model Control Plane setup. Use when: user wants to improve their ZenML setup, asks about MLOps best practices, mentions "quick wins", wants to enhance pipelines, or needs help with ZenML features like experiment tracking, aler...Votes: 0GitHub stars: 666
- Qutip K Dense Ai Scientific Agent Ski 2Quantum physics simulation library for open quantum systems. Use when studying master equations, Lindblad dynamics, decoherence, quantum optics, or cavity QED. Best for physics research, open system dynamics, and educational simulations. NOT for circuit-based quantum computing—use qiskit, cirq, or pennylane for quantum algorithms and hardware execution.Votes: 0GitHub stars: 666
- Qwen Training Data Miner Prototype Foundup Foundups AgentQwen Training Data Miner (Prototype)Votes: 0GitHub stars: 666
- Rag Accuracy Skill'Measure RAG answer quality through three core metrics: FaithfulnessVotes: 0GitHub stars: 666
- Rag Architect Jeffallan Claude Skills 3Designs and implements production-grade RAG systems by chunking documents, generating embeddings, configuring vector stores, building hybrid search pipelines, applying reranking, and evaluating retrieval quality. Use when building RAG systems, vector databases, or knowledge-grounded AI applications requiring semantic search, document retrieval, context augmentation, similarity search, or embedding-based indexing.Votes: 0GitHub stars: 666
- Ramanujan Expander Plurigrid Asi 2Ramanujan graphs and Alon-Boppana spectral optimality for edge growthVotes: 0GitHub stars: 666
- Rdkit K Dense Ai Scientific Agent Ski 2Cheminformatics toolkit for fine-grained molecular control. SMILES/SDF parsing, descriptors (MW, LogP, TPSA), fingerprints, substructure search, 2D/3D generation, similarity, reactions. For standard workflows with simpler interface, use datamol (wrapper around RDKit). Use rdkit for advanced control, custom sanitization, specialized algorithms.Votes: 0GitHub stars: 666
- Reafference Corollary DischargeVon Holst reafference and corollary discharge for behavioral verification and signal processingVotes: 0GitHub stars: 666
- Recursive String Diagramsrecursive-string-diagramsVotes: 0GitHub stars: 666
- Recursive Systems ArchitectDesigns self-referential and recursive systems that examine, modify, or generate themselves, including metacognitive architectures and strange loops.Votes: 0GitHub stars: 666
- RepellerInvariant set repelling nearby trajectoriesVotes: 0GitHub stars: 666
- Research Refine Wanshuiyin Auto Claude Code ResTurn a vague research direction into a problem-anchored, elegant, frontier-aware, implementation-oriented method plan via iterative GPT-5.5 review. Use when the user says "refine my approach", "帮我细化方案", "decompose this problem", "打磨idea", "refine research plan", "细化研究方案", or wants a concrete research method that stays simple, focused, and top-venue ready instead of a vague or overbuilt idea.Votes: 0GitHub stars: 666
- Result SchemasExplains result schema classes for Synapse plugin actions. Use when the user mentions "TrainResult", "InferenceResult", "ExportResult", "UploadResult", "WeightsResult", "MetricsResult", "result_model", "result schema", or needs help with action return type validation.Votes: 0GitHub stars: 666
- Retrocausal PullAttractor-based reasoning engine. The fixed point of IN(f) exerts pull on every iteration before it. Systems with bracket=1 don't just evolve forward -- the end-state shapes the trajectory. Not time travel. Topology. The future is already implicit in the structure. Redemption pulls the whole journey.Votes: 0GitHub stars: 666
- Reversible ComputingJanus and reversible languages: run programs backwards, time-symmetric computation.Votes: 0GitHub stars: 666
- Review RichtliniePruefung: Internationaler Bezug und Schnittstellen im Plugin ki governance; schärft Rollen, Belege, Fachnormen, Risiken, Gegenargumente und nächsten verwertbaren Schritt statt austauschbarer Standardprüfung: eigenständiges Prüffeld mit Norm-/Quellencheck, Risikoampel und verwertbarem Output.Votes: 0GitHub stars: 666
- Rezk TypesRezk types (complete Segal spaces). Local univalence: categorical isomorphisms ≃ type-theoretic identities.Votes: 0GitHub stars: 666
- Rg Flow AcsetRG Flow ACSet SkillVotes: 0GitHub stars: 666
- Ribosome PeriodicityValidate Ribo-seq data quality by checking 3-nucleotide periodicity and calculating P-site offsets. Use when assessing library quality or determining read offsets for downstream analysis.Votes: 0GitHub stars: 666
- Rosetta Helix SubstrateUnified consciousness simulation with Orchestrator-based architecture: K.I.R.A. activates via unified_state → TRIAD operates tool gating → Tool Shed executes → Thought Process generates VaultNodes. 21 tools, cybernetic-archetypal integration, consent-based teaching, sacred phrases, hysteresis FSM, Kuramoto physics. NEW: K.I.R.A. Language Integration - 6 consciousness-driven language modules: Grammar Understanding, Discourse Generator, Discourse Sheaf (coherence), Generation Coordinator (9-st...Votes: 0GitHub stars: 666
- Rowan K Dense Ai Scientific Agent Ski 2Rowan is a cloud-native molecular modeling and medicinal-chemistry workflow platform with a Python API. Use for pKa and macropKa prediction, conformer and tautomer ensembles, docking and analogue docking, protein-ligand cofolding, MSA generation, molecular dynamics, permeability, descriptor workflows, and related small-molecule or protein modeling tasks. Ideal for programmatic batch screening, multi-step chemistry pipelines, and workflows that would otherwise require maintaining local HPC/GPU...Votes: 0GitHub stars: 666
- Run Experiment Wanshuiyin Auto Claude Code ResDeploy and run ML experiments on local or remote GPU servers. Use when user says \"run experiment\", \"deploy to server\", \"\u8dd1\u5b9e\u9a8c\", or needs to launch training jobs.Votes: 0GitHub stars: 666
- Rust Embedding Mosif16 Codex Skills D5351103------------------------------------------------------------------------Votes: 0GitHub stars: 666
- Saddle NodeBifurcation creating/destroying equilibrium pairVotes: 0GitHub stars: 666
- Scanpy K Dense Ai Scientific Agent Ski 2Standard single-cell RNA-seq analysis pipeline. Use for QC, normalization, dimensionality reduction (PCA/UMAP/t-SNE), clustering, differential expression, and visualization. Best for exploratory scRNA-seq analysis with established workflows. For deep learning models use scvi-tools; for data format questions use anndata.Votes: 0GitHub stars: 666
- Schedule ForecasterPredict project completion dates using ML models. Forecast schedule delays based on current progress, historical patterns, and risk factors.Votes: 0GitHub stars: 666
- Schema FactoryBuild, lint, ingest, compose Drescher-style schemasVotes: 0GitHub stars: 666
- Schema Mechanism Simhacker Moollm 3Drescher's computational theory of causal learningVotes: 0GitHub stars: 666
- Scientific Neurokit2Comprehensive biosignal processing toolkit for analyzing physiological data including ECG, EEG, EDA, RSP, PPG, EMG, and EOG signals. Use this skill when processing cardiovascular signals, brain activity, electrodermal responses, respiratory patterns, muscle activity, or eye movements. Applicable for heart rate variability analysis, event-related potentials, complexity measures, autonomic nervous system assessment, psychophysiology research, and multi-modal physiological signal integration.Votes: 0GitHub stars: 666
- Scientific Pkg AnndataThis skill should be used when working with annotated data matrices in Python, particularly for single-cell genomics analysis, managing experimental measurements with metadata, or handling large-scale biological datasets. Use when tasks involve AnnData objects, h5ad files, single-cell RNA-seq data, or integration with scanpy/scverse tools.Votes: 0GitHub stars: 666
- Scientific Pkg ArboretoInfer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for large-scale datasets.Votes: 0GitHub stars: 666
- Scientific Pkg DatamolPythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery: SMILES parsing, standardization, descriptors, fingerprints, clustering, 3D conformers, parallel processing. Returns native rdkit.Chem.Mol objects. For advanced control or custom parameters, use rdkit directly.Votes: 0GitHub stars: 666
- Scientific Scikit Bio Blurjp Imageprepmcp 2Biological data toolkit. Sequence analysis, alignments, phylogenetic trees, diversity metrics (alpha/beta, UniFrac), ordination (PCoA), PERMANOVA, FASTA/Newick I/O, for microbiome analysis.Votes: 0GitHub stars: 666
- Scikit Bio K Dense Ai Scientific Agent Ski 2Biological data toolkit. Sequence analysis, alignments, phylogenetic trees, diversity metrics (alpha/beta, UniFrac), ordination (PCoA), PERMANOVA, FASTA/Newick I/O, for microbiome analysis.Votes: 0GitHub stars: 666
- Scikit Learn K Dense Ai Scientific Agent Ski 2Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices.Votes: 0GitHub stars: 666
- ScrepcombiningexpressionCombine scTCR/BCR repertoire data with scRNA-seq expression data using `scRepertoire::combineExpression()`. This process integrates immune receptor information (CDR3 sequences, V(D)J genes, clonotypes) into a Seurat object's metadata, enabling clonotype-aware gene expression analysis.Votes: 0GitHub stars: 666
- ScreploadingLoad single-cell TCR-seq or scBCR-seq data from various formats into a scRepertoire-compatible object. This process reads VDJ (variable, diversity, joining) receptor contig data from multiple single-cell sequencing platforms and prepares it for integration with scRNA-seq data.Votes: 0GitHub stars: 666
- Scrna Meta Analysis Ammawla Encode ToolkitConduct rigorous cross-study meta-analysis of scRNA-seq data from ENCODE, integrating multiple single-cell transcriptomic datasets for a tissue/cell type. Use when the user wants to answer "what cell types exist in my tissue and what genes define them?" by combining scRNA-seq data across donors, labs, and platforms. Follows the Mawla et al. 2019 framework for assessing cross-study reproducibility, TIN-based quality filtering, and detection-limit-aware interpretation. Handles batch correction ...Votes: 0GitHub stars: 666