DevOps e Infra

Infrastructure as Code (IaC) security scanning using Checkov with 750+ built-in policies for Terraform, CloudFormation, Kubernetes, Dockerfile, and ARM templates. Use when: (1) Scanning IaC files for security misconfigurations and compliance violations, (2) Validating cloud infrastructure against CIS, PCI-DSS, HIPAA, and SOC2 benchmarks, (3) Detecting secrets and hardcoded credentials in IaC, (4)

Gerencia Kali Linux, incluindo apt, branches, metapacotes, imagens, persistência USB live, NetHunter e wireless/GPU, ativado por termos como kali, kali rolling, kali snapshot, kali-tweaks e nethunter.

Use this skill to work with Microsoft Foundry (Azure AI Foundry) and tools from Foundry MCP server: deploy AI models, manage AI agents (create, deploy, invoke, run, troubleshoot Foundry Agents), manage RBAC permissions and role assignments, manage quotas and capacity, create Foundry resources. USE FOR: Microsoft Foundry, AI Foundry, create agent, deploy agent, debug agent, invoke agent, run agent,

Expert code review specialist for quality, security, and maintainability.

Transforma notas em prompts estruturados para LLMs ou melhora prompts existentes. É acionado por termos como 'escrever um prompt' e 'reescrever este prompt', mas não se aplica a skills ou rotinas.

scikit-learn compatible Python toolkit for time series ML: classify, cluster, regress, segment, transform with 30+ algorithms (ROCKET, InceptionTime, KNN-DTW, HIVE-COTE, WEASEL). Handles panel, multivariate, and unequal-length series. Maintained successor to sktime. Alternatives: sktime (larger ecosystem), tslearn (fewer algorithms), catch22 (features only).

Complete ArgoCD cluster bootstrapping skill for diagnosing sync failures, creating root Applications (app-of-apps), curating ApplicationSets via Kustomize, and resolving missing CRD dependencies. USE WHEN argocd bootstrap OR app-of-apps pattern OR root application OR applicationset gitops management OR argocd sync failed missing CRD OR kustomize applicationset curation OR argocd cluster onboarding

Identify and prioritize causal variants at GWAS loci using statistical fine-mapping and locus-to-gene predictions. Computes posterior probabilities for causal variants, links variants to genes via L2G predictions, annotates functional consequences, and suggests validation strategies. Use when asked to fine-map GWAS loci, prioritize causal variants, identify credible sets, or link GWAS signals to c

PyTorch Geometric (PyG) for graph neural networks: node/graph classification, link prediction with GCN, GAT, GraphSAGE, GIN. Message passing, mini-batches, heterogeneous graphs, neighbor sampling, explainability. Supports molecules (QM9, MoleculeNet), social/knowledge graphs, 3D point clouds. For non-graph DL use PyTorch; for classical graph algorithms use NetworkX.

Add strict Nature/CNS citations to manuscript text by splitting long passages into citable segments, searching only accepted flagship and subjournal titles from Nature Portfolio, the AAAS Science family, and Cell Press, filtering by publication time range, and exporting one reference-manager-ready output by default. Use this skill whenever the user asks to input text and automatically get referenc

Detects differential alternative splicing between conditions using rMATS-turbo (BAM-based) or SUPPA2 diffSplice (TPM-based). Reports events with FDR-corrected significance and delta PSI effect sizes. Use when comparing splicing patterns between treatment groups, tissues, or disease states.

Esta skill escreve e revisa HCL, módulos, estado e política como código para Terraform/OpenTofu, suportando diversas ferramentas relacionadas, mas não é para manifestos Kubernetes.