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Neural Network Builder

building-neural-networks

jeremylongshore/claude-code-plugins-plus-skills

Enables Claude to configure neural network architectures through the neural-network-builder plugin, creating or modifying models and defining layers, activation functions, and training parameters whenever network design or tuning is requested.

Docker Local Patterns

docker-patterns

affaan-m/everything-claude-code

Curated Docker and Compose patterns for local development, covering multi-stage Dockerfiles, Compose overrides, secure containers, networks, volumes, and runtime debugging best practices.

Docker Compose Generator

generating-docker-compose-files

jeremylongshore/claude-code-plugins-plus-skills

Generates production-ready Docker Compose configurations for multi-container apps by defining services, networks, volumes, health checks, and resource limits based on user architecture input.

Kubernetes Security Blueprint

k8s-security-policies

sickn33/antigravity-awesome-skills

Guide for enforcing Kubernetes security policies covering NetworkPolicy, Pod Security Standards, RBAC, Gatekeeper constraints, and service mesh controls to protect clusters, segment networks, and harden workloads before production rollouts.

Cloud Network Engineering Expert

network-engineer

sickn33/antigravity-awesome-skills

Provides expert guidance on modern cloud networking, security, load balancing, service mesh design, and performance tuning for architects and engineers building scalable high-performance networks and troubleshooting complex deployments.

Wireshark Network Analysis

wireshark-analysis

sickn33/antigravity-awesome-skills

Guide for capturing, filtering, and decoding PCAP data with Wireshark to troubleshoot networks, investigate incidents, inspect protocols, and reconstruct TCP/UDP exchanges for diagnostics and education.

Scalable Regulatory Network Inference

K-Dense-AI/claude-scientific-skills

Infers gene regulatory networks from bulk or single-cell expression data via GRNBoost2/GENIE3 with distributed computing support, ideal for transcriptomics workflows seeking TF-target relationships at scale.

COBRApy Metabolic Modeling

K-Dense-AI/claude-scientific-skills

COBRApy is a Python library for constraint-based reconstruction and analysis of metabolic networks, offering SBML-compatible model loading/saving, FBA/FVA optimization, genetic or reaction knockouts, flux sampling, and production envelope analysis for systems biology and metabolic engineering.

DrugBank Database Insights

drugbank-database

K-Dense-AI/claude-scientific-skills

Provides programmatic access to DrugBank drug and target data, covering downloads, queries, interaction networks, targets/pathways, and chemical similarity analyses for pharmacology research and safety reviews.

STRING Protein Interaction

string-database

K-Dense-AI/claude-scientific-skills

Query the STRING REST API to retrieve protein-protein interaction networks, map identifiers, visualize evidence-weighted edges, and run GO/KEGG/Pfam enrichment for systems biology analysis.

PyTorch Geometric GNNs

torch-geometric

K-Dense-AI/claude-scientific-skills

PyTorch Geometric provides tooling to build and train graph neural networks over irregular, multi-type graph data, covering dataset loading, message passing layers, mini-batching, and multi-GPU support for social, citation, molecular, and geometric learning workloads.

TorchDrug Molecular GNNs

K-Dense-AI/claude-scientific-skills

TorchDrug offers PyTorch-native graph neural networks, datasets, and tasks tailored to drug discovery, protein modeling, knowledge graphs, molecular generation, and retrosynthesis, letting researchers define custom GNN architectures for property prediction and synthesis planning.

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