Use when architecting OCI solutions, migrating from AWS/Azure, designing multi-AD deployments, or avoiding common OCI anti-patterns. Covers VCN sizing mistakes, Cloud Guard gotchas, free tier...
Query STRING API for protein-protein interactions (59M proteins, 20B interactions). Network analysis, GO/KEGG enrichment, interaction discovery, 5000+ species, for systems biology.
Query STRING API for protein-protein interactions (59M proteins, 20B interactions). Network analysis, GO/KEGG enrichment, interaction discovery, 5000+ species, for systems biology.
Query STRING API for protein-protein interactions (59M proteins, 20B interactions). Network analysis, GO/KEGG enrichment, interaction discovery, 5000+ species, for systems biology.
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Automated hypothesis generation and testing using large language models. Use this skill when generating scientific hypotheses from datasets, combining literature insights with empirical data,...
Automated hypothesis generation and testing using large language models. Use this skill when generating scientific hypotheses from datasets, combining literature insights with empirical data,...
Graph Neural Networks (PyG). Node/graph classification, link prediction, GCN, GAT, GraphSAGE, heterogeneous graphs, molecular property prediction, for geometric deep learning.
Graph Neural Networks (PyG). Node/graph classification, link prediction, GCN, GAT, GraphSAGE, heterogeneous graphs, molecular property prediction, for geometric deep learning.
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Automated LLM-driven hypothesis generation and testing on tabular datasets. Use when you want to systematically explore hypotheses about patterns in empirical data (e.g., deception detection,...
Git-based codebase exploration with delta analysis. Performs full exploration on first run, then incremental delta exploration tracking committed and uncommitted changes.
Testing patterns for behavior-driven tests with proper structure. Use when writing tests or test factories.
Graph Neural Networks (PyG). Node/graph classification, link prediction, GCN, GAT, GraphSAGE, heterogeneous graphs, molecular property prediction, for geometric deep learning.
Comprehensive senhasegura PAM platform skill for secrets management, credential vaulting, SSH key rotation, and DevOps secrets integration. Use when working with senhasegura A2A APIs, DSM CLI,...
SystemVerilog development guidelines for FPGA and ASIC design covering modular design, verification, and timing optimization.
非推奨ライブラリの検出、ネイティブAPI置換提案、新技術のPoC作成。技術スタック刷新、モダナイゼーション、レガシーコード更新が必要な時に使用。
Use when designing or architecting Elixir/Phoenix/LiveView applications, creating comprehensive project documentation, planning OTP supervision trees, defining domain models, structuring multi-app...
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