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概要と使いどころ
Implement authentication with Amazon Cognito. Create user pools for sign-up and sign-in, configure identity pools for AWS access, handle JWT tokens, set up social federation with Google and Facebook, and secure APIs with Cognito authorizers.
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。
Run containerized applications with Amazon ECS. Define tasks and services, deploy on Fargate for serverless containers or EC2 for full control. Configure load balancing, auto-scaling, and service discovery for production workloads.
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 Amazon CloudFront for global content delivery. Set up distributions with S3 and ALB origins, define cache behaviors and TTLs, invalidate cached content, and use Lambda@Edge for request/response manipulation at the edge.
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 globally distributed apps with Azure Cosmos DB. Work with multiple data models (document, key-value, graph), configure global replication with tunable consistency levels, manage throughput with RU/s, and query with SQL 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。
Build serverless applications with Azure Functions. Create HTTP and event-driven functions with input/output bindings, configure triggers for queues, timers, and blob storage. Use Durable Functions for stateful orchestration 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。
Store and manage unstructured data with Azure Blob Storage. Create containers, upload and organize blobs, configure access tiers (Hot, Cool, Archive) for cost optimization, generate SAS tokens for secure temporary access, and set lifecycle management policies.
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 Amazon SNS for pub/sub messaging and notifications. Create topics and manage subscriptions across protocols (SQS, Lambda, HTTP, email, SMS). Configure message filtering, mobile push notifications, and fan-out architectures.
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。
Azure Command Line Interface for managing Microsoft Azure resources. Use when the user needs to create VMs, manage storage accounts, deploy functions, configure resource groups, and automate Azure operations from the terminal.
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 Amazon RDS for fully managed relational databases. Provision MySQL, PostgreSQL, and Aurora instances with automated backups and patching. Configure read replicas for scaling, snapshots for recovery, and Aurora Serverless for variable workloads.
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。
Work with Amazon SQS for reliable message queuing. Create standard and FIFO queues, configure dead-letter queues for failed messages, send and receive messages in batches, and build decoupled event-driven architectures.
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。
Scripts and configures production rendering in Autodesk 3ds Max with the V-Ray and Corona renderers: output size and files, render elements, denoising, light mix, batch and command-line rendering, and network rendering. Use when a user asks to set up a production render, render several cameras in one batch, render from the command line or on a render farm, add render passes for compositing, or cut render time for archviz and product shots.
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。
Restructure and optimize alert rules for monitoring platforms (Sentry, PagerDuty, Datadog, OpsGenie). Use when someone asks to "reduce alert noise", "fix alert fatigue", "create alert rules", "set up escalation policies", "tune alerting thresholds", or "create on-call runbooks". Generates platform-specific alert configurations and tiered escalation policies.
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。
Ant Design (antd) is a React component library of 70+ enterprise UI components (tables, forms, date pickers, modals, menus) with design-token theming through ConfigProvider. Use it to build admin panels, back-office tools and data-heavy dashboards: server-paginated tables with filters and bulk actions, validated forms, dark or branded themes, and antd inside Next.js without a flash of unstyled content. Triggers: "antd table", "Ant Design form validation", "customize antd theme", "antd dark mode", "antd with Next.js App Router", "upgrade antd 5 to 6".
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。
Apache Airflow is a platform for programmatically authoring, scheduling, and monitoring workflows. Learn to write DAGs, use operators, set up connections, configure scheduling, and deploy with Docker Compose.
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。
3proxy is a small open-source proxy server that runs HTTP/HTTPS, SOCKS4/5, SNI and TCP/UDP port-mapping proxies from one config file. Use when a user asks to set up an HTTP or SOCKS5 proxy, add proxy users and passwords, write 3proxy access rules, chain or rotate upstream (parent) proxies, limit bandwidth, connections or monthly traffic per user, run 3proxy in Docker, or fix a 3proxy.cfg that will not start.
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 automating model architecture design, optimizing hyperparameters, or exploring neural network configurations - covers NAS algorithms, search spaces, Bayesian optimization, and AutoML toolsUse when ", " mentioned.
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。
World-class Kubernetes operations - deployments, debugging, Helm charts, and the battle scars from managing clusters that serve millions of requestsUse when "kubernetes, k8s, kubectl, helm, pod, deployment, service, ingress, configmap, secret, statefulset, daemonset, hpa, pvc, crashloopbackoff, imagepullbackoff, oomkilled, liveness probe, readiness probe, kubernetes, k8s, containers, docker, helm, deployment, devops, cloud-native" mentioned.
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。
Audit experiment integrity against the evidence ledger. At L2 (repo + result files present) a fresh cross-model reviewer reads the eval code line-by-line for fake/derived ground truth, score self-normalization, phantom results (a paper number with no backing file/key), dead/uncalled metric code, verified-scope inflation, method-described ≠ method-evaluated drift, synthesized-looking results, placeholder/fake data still wired into a released result, code-output ≠ reported-number mismatch, and missing reproducibility artifacts (an empirical/agent/LLM paper shipping neither code nor the prompts/configs its results need) — every finding span-anchored to a ledger claim_id. At L0/L1 (PDF / source only) the same patterns are surfaced as info-level 'could-not-verify' signals where the ledger gives an anchor (observability_level_required:2) — NEVER a fraud verdict from a PDF. The reviewer PROPOSES findings; tools/adjudicate_findings.py computes the verdict. Detect-only. Triggers: "experiment forensics", "audit the results", "check the eval code", "实验诚实度".
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。
Queries all configured services for health status — uptime, restarts, errors, resources. Use when checking the health of running services.
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 fuzz test scaffolding for parsers handling external input (YAML, JSON, config files, user input). Seeds corpus from existing fixtures and runs initial pass. Use when implementing or changing a parser, or any code that ingests user input, webhook payloads, API responses, or file formats.
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。
浏览器 viewport / headless / 超时分层配置。触发：viewport、浏览器配置、导航超时、headless、slow_mo、incognito。
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。
Sets up BMAD Loop Skills module in a project. Use when the user requests to 'install bmad-loop module', 'configure BMAD Loop Skills', or 'setup BMAD Loop 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。
Scan code or configuration for common security issues. Use when a mid-level developer needs a quick security pass.
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。
Inspect repository session replay and verify configured MetaHarness field memory boundaries before reusing outcomes.
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。