「devops」の検索結果

AEM Cloud Service expert skill for the Asset Manager API (com.day.cq.dam.api.AssetManager). Covers two migration paths — Path A (create/upload, replacing createAssetForBinary/getAssetForBinary/client-facing createAsset with Direct Binary Access via @adobe/aem-upload) and Path B (delete, replacing removeAssetForBinary with in-JVM resolver.delete() + commit or external HTTP Assets API with IMS bearer tokens). Covers IMS authentication, service-user setup with crx delete permissions, asset processing pipeline, common pitfalls (hardcoded credentials, AEM calling its own HTTP API), and composition with replication/event-migration skills.

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 to Vercel/Cloudflare, manage environment variables, troubleshoot builds, and handle rollbacks.

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 Next.js to Cloudflare Workers using OpenNext adapter

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 and manage the portfolio on Cloudflare Workers via OpenNext adapter.

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。

Prepare an explicit production launch, staged rollout, launch-monitoring, or rollback plan; do not trigger from AILI SHIP, implementation completion, packaging, review, or release wording that lacks a concrete launch/rollout target.

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。

Creates reusable Terraform modules with proper structure, variables, outputs, and state management for infrastructure as code. Use when users request "Terraform setup", "infrastructure as code", "IaC module", "cloud provisioning", or "Terraform module".

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。

Generates Kubernetes manifests including Deployments, Services, ConfigMaps, Secrets, Ingress, and HPA with best practices. Use when users request "Kubernetes setup", "K8s manifests", "deploy to Kubernetes", "container orchestration", or "K8s configuration".

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。

Implements background job processing with BullMQ/Redis including job queues, workers, scheduling, retries, and monitoring. Use when users request "background jobs", "queue processing", "async tasks", "BullMQ", or "job scheduler".

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。

Creates ephemeral preview deployments for each pull request with automatic deployment, unique URLs, and cleanup on PR close. Use for "preview deployments", "PR environments", "ephemeral environments", or "review apps".

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。

Defines measurable performance budgets for bundle size, API latency, database queries, and render times. Provides enforcement strategies and monitoring plans. Use for "performance budgets", "performance monitoring", "web vitals", or "optimization targets".

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。

Implements rate limiting and abuse prevention with per-route policies, IP/user-based limits, sliding windows, safe error responses, and observability. Use when adding "rate limiting", "API protection", "abuse prevention", or "DDoS protection".

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。

Implements comprehensive observability with OpenTelemetry tracing, Prometheus metrics, and structured logging. Includes instrumentation plans, sample dashboards, and alert candidates. Use for "observability", "monitoring", "tracing", or "metrics".

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。

Creates comprehensive deployment checklists with pre-deployment checks, smoke tests, verification steps, and sign-off workflows. Use for "deployment checklist", "release verification", "deployment runbook", or "production 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。

Optimizes Dockerfiles for smaller images, faster builds, better caching, and security hardening using multi-stage builds and best practices. Use when users request "optimize Dockerfile", "reduce Docker image size", "Docker best practices", or "containerize application".

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。

Defines database performance monitoring strategy with slow query detection, resource usage alerts, query execution thresholds, and automated alerting. Use for "database monitoring", "performance alerts", "slow queries", or "DB metrics".

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。

Creates SLO-based alerts and operational dashboards with key charts, alert thresholds, and runbook links. Use for "alerting", "dashboards", "SLO", or "monitoring".

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。

Estimates infrastructure needs based on traffic forecasts, workload analysis, and performance requirements with sizing recommendations and cost trade-offs. Use for "capacity planning", "infrastructure sizing", "resource estimation", or "scalability planning".

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。

This skill should be used when the user asks about "parallel agents", "background tasks", "run_in_background", "non-blocking agents", "check agent progress", "TaskOutput", "retrieve agent results", or discusses running multiple agents concurrently. Covers patterns for launching agents in background, monitoring progress, and retrieving results.

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。

Zigbee, Thread, and Matter mesh-protocol attack methodology — IEEE 802.15.4 sniffing with TI CC2531 / CC2540 / Sonoff Zigbee Dongle E, KillerBee toolkit, Touchlink commissioning abuse with the well-known transport key, replay/injection attacks, Zigbee Cluster Library command abuse for door locks and bulbs, Thread network credential theft, Matter commissioning chain analysis, and 6LoWPAN/IPv6 routing exploitation. Use when targeting smart-home or commercial mesh deployments, Zigbee-based door locks, lighting, or sensor networks.

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。

LoRaWAN and sub-GHz (433 / 868 / 915 MHz) attack methodology — LoRaWAN ABP/OTAA join attack, network/session key reuse, frame counter replay, downlink injection on TTN/Helium-style networks, sub-GHz protocol replay (KeeLoq garage doors, fixed-code remotes, TPMS spoofing, smart plug telemetry), HackRF / RTL-SDR / Flipper Zero workflows, signal analysis with Inspectrum / Universal Radio Hacker, and reconstruction of proprietary packet formats. Use for LoRaWAN deployments (smart cities, asset tracking, industrial telemetry), or any wireless device using the unlicensed 433/868/915 MHz bands (garage openers, doorbells, IoT sensors, RC equipment).

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。

You are helping a penetration tester exploit authenticated access to Apache

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。

You are helping a penetration tester deploy webshells to web server document

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。

Time-of-Check / Time-of-Use (TOCTOU) race condition exploitation methodology across binary, kernel, filesystem, web, and container layers. Covers symbolic-link races (open/access/stat split), file-descriptor races, fopen/realpath traversal races, /proc and procfs races, FUSE-backed slow-fs races to widen the window, ptrace and signal races, kernel double-fetch / userspace pointer races, container/runc/symlink escape primitives, kubernetes admission/authz TOCTOU, web auth-vs-authz TOCTOU, JWT-claim TOCTOU at gateway vs service, payment/idempotency races, and modern race-amplification techniques (single-packet attack, slow loris, FUSE pause, cgroup freeze, scheduler shaping). Use when you've identified a 'check then act' pattern in code, when fuzzing for race conditions, or when exploiting concurrency bugs in privileged binaries / kernel / orchestrators.

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。

Hunt Host Header Injection — password reset poisoning → ATO, web cache poisoning via unkeyed Host/X-Forwarded-Host, routing-based SSRF (Host picks upstream → cloud metadata/internal services), path-override SSRF/ACL-bypass (X-Original-URL/X-Rewrite-URL), OAuth redirect_uri/issuer poisoning, and absolute-URL link poisoning in emails. High to Critical when it reaches ATO or mass cache poisoning. Built on public Host-header research (PortSwigger 'Practical web cache poisoning' + James Kettle, and the classic password-reset-poisoning class). Use on any forgot-password flow, CDN/reverse-proxy-fronted app, OAuth/OIDC endpoint, or absolute-URL-in-email feature.

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。