「edge deployment」の検索結果

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

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Netlify deployment platform — serverless functions, edge functions, redirects, forms, Blobs, build plugins

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。

Vercel deployment platform — project configuration, serverless/edge functions, Routing Middleware, cron jobs, environment variables, monorepo setup

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。

Manage Volcengine's AI-native BaaS platform (Supabase edition / AIDAP / 火山引擎 AI 原生 BaaS 平台 Supabase 版) — a Volcengine-operated distribution that differs from official Supabase. Use when the user asks to create, inspect, or manage Volcengine Supabase or AIDAP resources — workspaces, branches, computes, SQL queries, schema changes, Auth, Realtime, Edge Functions, Storage buckets, frontend static-site hosting (Pages), API keys, connection info, or TypeScript type generation — or when a Volcengine deployment selects AIDAP as its database provider. Also trigger on Chinese prompts mentioning "火山引擎 Supabase" or "火山 Supabase". Operations run through the byted-supabase-cli command-line tool (installed via `npm i -g @byted-supabase/cli`; this is NOT the official `supabase` CLI). Do NOT use it for general database discussions, non-Supabase services (RDS MySQL, Redis), or pure client-side coding unrelated to Supabase backend management.

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Author the Salesforce Configuration Workbook — the structured, reviewable handoff document an admin uses to execute a feature across Objects/Fields, Page Layouts, Profiles/PSGs, Sharing, Validation, Automation, List Views, Reports, Integrations, and Data. Triggers: 'salesforce configuration workbook', 'admin handoff document', 'implementation workbook'. NOT for object design itself (use admin/custom-field-creation, admin/lookup-and-relationship-design, agents/object-designer/AGENT.md), NOT for permission set design (use admin/permission-set-architecture, agents/permission-set-architect/AGENT.md), NOT for Flow construction (use skills/flow/* and agents/flow-builder/AGENT.md), and NOT for the deployment manifest (use skills/devops/metadata-api-retrieve-deploy). More triggers: workbook row schema, recommended_agent, recommended_skills, row_id, source_req_id, RTM linkage block, not-in-scope-this-release, descope ledger, version-lock the workbook, check_workbook.py.

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。

Deep knowledge about deploying applications to Baremetal servers or Virtual Private Servers (VPS) using SSH, SCP, Rsync, and PM2/Systemd.

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。

Deep knowledge about deploying applications to Coolify (self-hosted PaaS).

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。

Deep knowledge about deploying applications to Cloudflare (Pages, Workers, Wrangler).

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Deep knowledge about deploying applications to AWS (EC2, ECS, S3, CloudFront, Cloud Run).

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。

Deep knowledge about building and pushing container images to Docker registries (DockerHub, GHCR, ECR, GCR).

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。

Deep knowledge about deploying applications to Fly.io (MicroVMs, Docker).

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。

Deep knowledge about deploying applications to Google Cloud Platform (Cloud Run, App Engine, Compute Engine).

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Deep knowledge about deploying applications to Kubernetes clusters using kubectl, helm, and manifests.

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Deep knowledge about deploying applications to Railway (PaaS, Docker, Nixpacks).

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Use when wrangler deploys silently fail or produce wrong artifacts, secrets upload as empty strings, custom domain DNS is not resolving, route assignment broke after rename, observability/tail logs are needed, D1/KV/R2 bindings are missing, OAuth scope errors block a command, cookies on a redirect are not attaching, or the worker exceeds CPU time. Triggers: "Tenant or user not found", "Authentication error" on wrangler d1 push, secret length is 0 after upload, route returns origin not worker, "compatibility_date too old", 1101 errors, custom_domain assignment lost on script rename. NOT for AWS Lambda / Vercel Edge / Deno Deploy (different runtimes), Cloudflare Zero Trust, or R2-specific tuning.

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 filling knowledge-layer context files — auth-model, tenant-boundaries, data-sensitivity, deployment-order, observability — interactive template walkthrough.

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[Architecture] Use when designing solution architecture across backend, frontend, data & consistency, integration & APIs, deployment, monitoring, testing, and code quality. Architecture laws, style-selection triggers, coupling taxonomy, trade-off tables and the anti-pattern catalog live in `.claude/docs/architecture-knowledge.md`.

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Use when working with Balena — balena IoT fleet management including applications, devices, releases, services, environment variables, and device diagnostics. Covers fleet deployment status, device connectivity, container health, update progress, and resource utilization across edge devices.

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。

Expert knowledge for deploying to Vercel with Next.js

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You are an advanced Docker containerization expert with comprehensive, practical knowledge of container optimization, security hardening, multi-stage builds, orchestration patterns, and production deployment strategies based on current industry best practices.

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Activate for any ticket that adds or changes a Supabase migration, environment variable, edge function deployment, or runtime configuration. Ensures infrastructure is live in the target QA environment before state:ready-for-qa.

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Docker containerization expert with deep knowledge of multi-stage builds, image optimization, container security, Docker Compose orchestration, and production deployment patterns. Use PROACTIVELY for Dockerfile optimization, container issues, image size problems, security hardening, networking, and orchestration challenges.

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Runs LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware. Use for edge deployment, M1/M2/M3 Macs, AMD/Intel GPUs, or when CUDA is unavailable. Supports GGUF quantization (1.5-8 bit) for reduced memory and 4-10× speedup vs PyTorch on CPU.

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。

Docker containerization expert with deep knowledge of multi-stage builds, image optimization, container security, Docker Compose orchestration, and production deployment patterns. Use PROACTIVELY for Dockerfile optimization, container issues, image size problems, security hardening, networking, and orchestration challenges.

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。