「deployment」の検索結果

Apply Kubernetes and Kustomize patterns for deployments, services, and overlays. Use when writing or reviewing k8s manifests.

日本語の概要は準備中です。原文の説明を表示しています。

Apply Vercel deployment, edge function, and environment variable patterns. Use when deploying to Vercel.

日本語の概要は準備中です。原文の説明を表示しています。

Deploy serverless applications on Cloudflare Workers. Covers project setup, JavaScript handler patterns, routing, deployment with Wrangler, and API token configuration. Suitable for APIs, proxies, edge computing, and request transformation.

日本語の概要は準備中です。原文の説明を表示しています。

Reality tech (AR/VR/XR). Build and ship spatial experiences (WebXR/OpenXR/Unity/Unreal) with strong defaults for interaction, performance, comfort, privacy, and deployment.

日本語の概要は準備中です。原文の説明を表示しています。

Reference guide for the Twelve-Factor App methodology — 15 principles (12 original + 3 modern extensions) for building portable, resilient, cloud-native applications. Use when evaluating application architecture, designing cloud-native services, reviewing codebases for methodology compliance, advising on configuration, scaling, observability, security, and deployment patterns. Incorporates the 2025 open-source community evolution and cloud-native reinterpretations of each factor.

日本語の概要は準備中です。原文の説明を表示しています。

Use when building, extending, or debugging FastMCP v4 (or v3) Python MCP servers. Activates on FastMCP tool/resource/prompt creation, provider and transform implementation (CodeMode, Tool Search), auth setup (MultiAuth, PropelAuth, KeycloakProvider), client SDK usage, FastMCPApp and Generative UI server building, fastmcp-slim client-only installs, nginx reverse proxy deployment, Prefab Apps, OTEL observability, testing, and v3→v4 migration. Grounded in official FastMCP v4 docs plus locally-verified v3 gotchas — zero speculation.

日本語の概要は準備中です。原文の説明を表示しています。

Dasel v3 patterns for querying Tomcat web.xml deployment descriptors — use when inspecting servlet enumeration, filter chain discovery, listener listing, context parameter extraction, or init-param inspection in web.xml files

日本語の概要は準備中です。原文の説明を表示しています。

Produces a structured, end-to-end linear walkthrough of an unfamiliar codebase by orchestrating parallel subagents across four phases — discovery, tracing, validation, and synthesis. Use when onboarding to a new repository, understanding execution paths from entry points, generating navigable codebase documentation, or needing fact-checked coverage of architecture, deployment, testing, and operations.

日本語の概要は準備中です。原文の説明を表示しています。

Verification loop for Laravel projects: env checks, linting, static analysis, tests with coverage, security scans, and deployment readiness.

日本語の概要は準備中です。原文の説明を表示しています。

Database migration best practices for schema changes, data migrations, rollbacks, and zero-downtime deployments across PostgreSQL, MySQL, and common ORMs (Prisma, Drizzle, Kysely, Django, TypeORM, golang-migrate).

日本語の概要は準備中です。原文の説明を表示しています。

Verification loop for Django projects: migrations, linting, tests with coverage, security scans, and deployment readiness checks before release or PR.

日本語の概要は準備中です。原文の説明を表示しています。

Django security best practices, authentication, authorization, CSRF protection, SQL injection prevention, XSS prevention, and secure deployment configurations.

日本語の概要は準備中です。原文の説明を表示しています。

Configure Akka.NET with .NET Aspire for local development and production deployments. Covers actor system setup, clustering, persistence, Akka.Management integration, and Aspire orchestration patterns.

日本語の概要は準備中です。原文の説明を表示しています。

[AUTO-INVOKE] MUST be invoked BEFORE deploying DeFi contracts (DEX, lending, staking, LP, token). Covers anti-whale, anti-MEV, flash loan protection, launch checklists, and emergency response. Trigger: any deployment or security review of DeFi-related contracts.

日本語の概要は準備中です。原文の説明を表示しています。

Security audit and code review checklist. Covers 30+ vulnerability types with real-world exploit cases (2021-2026) and EVMbench Code4rena patterns. Use when conducting security audits, code reviews, or pre-deployment security assessments.

日本語の概要は準備中です。原文の説明を表示しています。

Comprehensive AI/ML development guide for LangChain, LangGraph, and ML model integration in FastAPI. Use when building LLM applications, agents, RAG systems, sentiment analysis, aspect-based analysis, chain orchestration, prompt engineering, vector stores, embeddings, or integrating ML models with FastAPI endpoints. Covers LangChain patterns, LangGraph state machines, model deployment, API integration, streaming, error handling, and best practices.

日本語の概要は準備中です。原文の説明を表示しています。

Build production-ready AI agents with Microsoft Foundry and Agent Framework. Use when creating AI agents, selecting LLM models, implementing agent orchestration, adding tracing/observability, or evaluating agent quality. Covers agent architecture, model selection, multi-agent workflows, and production deployment.

日本語の概要は準備中です。原文の説明を表示しています。

Coinbase AgentKit - Toolkit for enabling AI agents with crypto wallets and onchain capabilities. Use for building autonomous agents that can execute transfers, swaps, DeFi operations, NFT minting, smart contract deployment, and gasless transactions via Smart Wallets.

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Expert LLM architect specializing in large language model architecture, deployment, and optimization. Masters LLM system design, fine-tuning strategies, and production serving with focus on building scalable, efficient, and safe LLM applications.

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Maintain the standalone cmd/authdb server, pkg/httpserver listener and portal routing, HTTP configuration parser, TLS, shutdown, executable tests, and deployment guidance. Use authdbctl for the management client.

日本語の概要は準備中です。原文の説明を表示しています。

Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for AI-agent, prompt-injection, MCP or toolchain, cloud, container, CI/CD, and supply-chain challenges. Use when the user asks to analyze prompt-to-tool flows, retrieval poisoning, mounted secrets, deployment drift, runtime-vs-manifest mismatches, registry provenance, or CI-produced artifacts under sandbox assumptions. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.

日本語の概要は準備中です。原文の説明を表示しています。

AI 模型部署时使用。适用于推理服务 / GPU / TensorRT / 监控 / 扩缩容。

日本語の概要は準備中です。原文の説明を表示しています。

Kubernetes 工作负载编排，覆盖 Deployment / Service / Ingress / HPA / PDB。Helm Chart 管理、ArgoCD GitOps 部署、资源调优、高可用设计。

日本語の概要は準備中です。原文の説明を表示しています。

Use when setting up deployment infrastructure for any project - establishes multi-gate deploy pipeline with test gates, build verification, frontend safety checks, and rollback strategy before code reaches production

日本語の概要は準備中です。原文の説明を表示しています。