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概要と使いどころ
Use when working with Chronicle — google Chronicle SIEM security operations, threat detection, asset investigation, and log analysis. Covers UDM search queries, detection rule management, asset and IOC lookups, reference list management, and retrohunt execution. Use when investigating security events, reviewing detection rules, searching for IOCs, or analyzing Chronicle data ingestion health.
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 working with Calendly — calendly scheduling platform management covering event types, scheduled events, invitees, users, and booking analytics. Use when monitoring booking rates, analyzing event type performance, reviewing upcoming schedules, managing Calendly users and teams, or troubleshooting scheduling workflows.
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 working with Baselime — baselime serverless observability platform for AWS Lambda, CloudFlare Workers, and Vercel functions. Covers log and trace querying, alert management, service discovery, and performance analysis of serverless workloads. Use when investigating serverless function performance, querying Baselime events, managing alerts, or analyzing cold start and duration 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。
Cloudflare GraphQL Analytics for zone traffic, firewall events, Workers metrics, and schema exploration. Use when querying Cloudflare analytics data or exploring the GraphQL API.
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 creating or editing cron jobs - prevents timeouts, silent failures, and delivery gaps.
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。
Vollständige Dokumentation des OpenAmer Plugin-API-Systems. Hooks, Events, Lifecycle, manifest.json Format, Config-Integration und Plugin-Manager.
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。
Write, configure, and deploy Netlify serverless functions in TypeScript, JavaScript, or Go. Use this when adding an API endpoint or backend route, adding a contact form handler, wiring auth or Identity signup/login hooks, building streaming or AI-proxy responses, scheduling cron jobs, running long background jobs (batch processing/scraping), reacting to deploy or form events, setting up rate limiting or region/memory config, or reading environment variables and secrets inside a function. Covers file locations, the Request/Context/Response handler shape, path routing, config options, and local testing with netlify dev.
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 an isolated Python environment for SageMaker / AWS work, with the right Python version and current boto3. Use this skill whenever Python code will be executed for a SageMaker deployment, training job, or any AWS automation — including when about to run `pip install`, when about to invoke `boto3`, when creating or activating a virtualenv, or when the user asks to "set up the environment". Never use system Python and never `pip install` into it. Always isolate. This skill prevents the most common failure modes: wrong Python version, dependency conflicts, and stale SDKs.
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。
Pick the right serving container for a SageMaker model deployment and find its current image URI. Use this skill whenever about to deploy a model to a SageMaker endpoint and an image URI needs to be chosen — including when the user says "deploy this LLM", "host this HuggingFace model", "serve this fine-tuned model", "deploy this embedding model", "host a reranker", "serve a sentence-transformers model", or when about to hardcode any container URI in deployment code. HuggingFace-curated Deep Learning Containers are ALWAYS preferred: HuggingFace vLLM (LLMs and generative rerankers), HuggingFace vLLM-Omni (multimodal), TEI (embeddings/cross-encoder rerankers), HF Inference Toolkit (other transformers). Generic images (AWS vLLM, DJL-LMI, SGLang) are used only when no HuggingFace image is compatible — never merely because they carry a newer version. Never hardcode a container URI from memory and never default to TGI. Prevents stale-image failures and wrong-region URIs.
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。
Ensure a usable SageMaker execution role exists before deploying or training. Use this skill whenever about to create a SageMaker endpoint, model, training job, or any resource that requires an execution role. Use it especially when the user has not provided a role ARN explicitly, when scripts are about to call `iam:CreateRole`, or when an AccessDenied error mentions an IAM action. Never blindly call `iam:CreateRole` — always check for existing roles first. This skill prevents the most common SageMaker deployment failure: trying to create IAM resources from an SSO principal that has no IAM write permissions.
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。
Automate Sentry tasks via Rube MCP (Composio): manage issues/events, configure alerts, track releases, monitor projects and teams. Always search tools first for current schemas.
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。
View, create, update, and delete calendar events
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 Hearts of Iron IV modding assistant for Paradox scripting, debugging, localisation, focus trees, events, decisions, AI logic, and HOI4 mod architecture. MADE BY SQERSTERS
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。
When designing loosely coupled systems that react to state changes asynchronously.
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。
When the user wants to optimize their App Store listing for seasonal events, holidays, or trending moments — including keyword opportunities, metadata updates, screenshot theming, and timing strategy. Use when the user mentions "seasonal", "holiday", "Christmas", "New Year", "Valentine's Day", "summer", "back to school", "seasonal keywords", "trending now", "limited time", or wants to capitalize on a calendar event. For general keyword research, see keyword-research. For full metadata rewrites, see metadata-optimization.
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。
Implement, review, or improve in-app tips and onboarding using Apple's TipKit framework. Use when adding feature discovery tooltips, onboarding flows, contextual tips, first-run experiences, coach marks, or working with Tip protocol, TipView, popoverTip, tip rules, tip events, or feature education UI.
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。
Query grid electricity forecasts and submit load events using EnergyKit to help users optimize home electricity usage. Use when building smart home apps, EV charger controls, HVAC scheduling, or energy management dashboards that guide users to use power during cleaner or cheaper grid periods.
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。
Access research-grade sensor data using SensorKit. Use when reading ambient light levels, accelerometer data, rotation rates, device usage patterns, keyboard metrics, or media events for approved research studies. Requires SensorKit entitlement and research study authorization.
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。
Discover and configure Bluetooth and Wi-Fi accessories using AccessorySetupKit. Use when presenting a privacy-preserving accessory picker, defining discovery descriptors for BLE or Wi-Fi devices, handling accessory session events, migrating from CoreBluetooth permission-based scanning, or setting up accessories without requiring broad Bluetooth permissions.
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。
Critical Git safety rules to prevent destructive operations. Use whenever performing git operations, reverting changes, or managing commits. Prevents accidental loss of work.
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 this skill when a design or idea requires higher confidence, risk reduction, or formal review. This skill orchestrates a structured, sequential multi-agent design review where each agent has a strict, non-overlapping role. It prevents blind spots, false confidence, and premature convergence.
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。
Orchestrates design workflows by routing work through brainstorming, multi-agent review, and execution readiness in the correct order. Prevents premature implementation, skipped validation, and unreviewed high-risk designs.
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。
Validates animation durations, enforces typography scale, checks component accessibility, and prevents layout anti-patterns in Tailwind CSS projects. Use when building UI components, reviewing CSS utilities, styling React views, or enforcing design consistency.
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。
Systematically finds and fixes bugs using proven debugging techniques. Traces from symptoms to root cause, implements fixes, and prevents regression.
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。