DevOps e Infra

Creates devcontainers with Claude Code, language-specific tooling (Python/Node/Rust/Go), and persistent volumes. Use when adding devcontainer support to a project, setting up isolated development environments, or configuring sandboxed Claude Code workspaces.

Select and configure time integration methods for ODE/PDE simulations. Use when choosing explicit/implicit schemes, setting error tolerances, adapting time steps, diagnosing integration accuracy, planning IMEX splitting, or handling stiff/non-stiff coupled systems.

Optimize vector index performance for latency, recall, and memory. Use when tuning HNSW parameters, selecting quantization strategies, or scaling vector search infrastructure.

Instrumente aplicações com Azure Monitor e OpenTelemetry para JavaScript (@azure/monitor-opentelemetry). Use ao adicionar rastreamento distribuído, métricas e logs a aplicações Node.js com Application Insights.

Only to be triggered by explicit /parallel-task commands.

Azure Key Vault + CSI Driver integration for Kubernetes secrets management. Use when creating SecretProviderClass resources, mounting secrets from Key Vault, troubleshooting 403 errors, syncing secrets to K8s, or configuring applications to use Key Vault secrets.

Manages memory, SSOT files, and Plans.md operations. Use when user mentions メモリ, memory, SSOT, decisions.md, patterns.md, マージ, merge, Plans.md, 移行, migrate. Do NOT load for: 実装作業, レビュー, 一時的なメモ, セッション中の作業記録.

Baixa artigos de Contas Oficiais do WeChat (微信公众号) e os converte para Markdown com imagens locais. Suporta URL único, arquivo em lote, busca por nome de conta via Sogou, ou download em massa via API do WeChat.

Node.js package manager with strict dependency resolution. Use when running pnpm specific commands, configuring workspaces, or managing dependencies with catalogs, patches, or overrides.

Use when you need exact symbolic math in Python — algebra, calculus, equation solving, symbolic linear algebra, or code generation via lambdify/LaTeX. Prefer NumPy or SciPy when floating-point approximations are sufficient.

Resolves GWAS associations to candidate causal variants and credible sets via SuSiE, susie_rss, FINEMAP, CAVIAR, DAP-G, PAINTOR, PolyFun, SuSiEx, MultiSuSiE, and FOCUS. Use when narrowing a GWAS lead SNP to a 95 percent credible set, choosing between in-sample and reference LD, calibrating non-sparse loci with SuSiE-inf or FINEMAP-inf, integrating functional priors via PolyFun, fine-mapping across

Deploy and manage Vercel projects, domains, environment variables, and serverless functions using the `vercel` CLI.