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Create, implement, deploy, and debug Adobe Runtime actions with consistent layout, validation, and error handling. Use this skill whenever the user needs to add actions to an App Builder project, understand action structure (params, response format, web/raw actions), configure actions in the manifest, use App Builder SDKs (State, Files, Events, database), deploy and invoke actions via CLI, debug action issues, or implement patterns such as webhook receivers, custom event providers, journaling consumers, large payload redirects, action sequence pipelines, and Asset Compute workers. Also trigger when users mention serverless functions in Adobe context, action logging, IMS authentication for actions, or cron-style scheduled actions.

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。

Create, modify, review, and harden configuration for the Adobe Dispatcher Apache HTTP Server module and Apache HTTPD in AEM as a Cloud Service environments only. Use for `.any`, vhost, rewrite, cache, and filter changes.

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。

Initialize an Adobe App Builder project end-to-end without Developer Console UI clicks. Creates the Console project and workspace, subscribes APIs (including those needing a product profile), maps user intent to the right template, runs non-interactive `aio app init`, and guides post-init customization. Use whenever the user mentions creating an App Builder app, scaffolding a project, `aio app init`, setting up an Experience Cloud extension, adding actions or web assets, creating a Console project or workspace, adding APIs, or bootstrapping App Builder — even if they don't say "App Builder". Also for SPA templates, AEM extensions, API Mesh, Asset Compute workers, and MCP server projects. Also handles debugging init failures — template not found, `aio app init` hangs or times out, Node version mismatches, npm install failures, post-init build errors, `aio login` issues, `aio app run` showing nothing, or `aio console project create` / `workspace create` / `workspace api add` errors.

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。

Set up CI/CD pipelines for Adobe App Builder projects. Generates GitHub Actions workflows using adobe/aio-cli-setup-action@3 and adobe/aio-apps-action@3.3.0, plus patterns for Azure DevOps and GitLab CI. Handles OAuth S2S secrets injection, multi-workspace promotion (stage → prod), deploy gating with manifest validation. Use this skill whenever the user mentions CI/CD for App Builder, GitHub Actions for aio deploy, automated deployment pipelines, continuous integration, continuous delivery, deploy automation, multi-environment promotion, aio app add ci, or wants to automate their App Builder build and release process. Also trigger when users mention deploy workflows, release pipelines, or GitHub secrets for App Builder.

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。

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 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。

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。

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 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。

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。

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 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。

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 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。