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概要と使いどころ
Expert guidance for Checkov, the static analysis tool for infrastructure-as-code that scans Terraform, CloudFormation, Kubernetes, Helm, Dockerfile, and ARM templates for security misconfigurations and compliance violations. Helps developers integrate Checkov into CI/CD pipelines and write custom 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。
Serverless vector database at the edge with Cloudflare Vectorize. Use when: building semantic search on Cloudflare Workers, RAG pipelines at the edge, low-latency vector similarity search, or storing and querying embeddings without managing a separate vector database.
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 background tasks in Python with Celery. Use when a user asks to process tasks asynchronously, schedule periodic jobs, run background workers, build task queues in Python, or offload heavy processing from web requests.
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。
Appsmith is an open-source low-code platform for building internal tools, admin panels, and dashboards. Use when a user asks to create CRUD interfaces, connect to databases or APIs with drag-and-drop widgets, write JSObjects for business logic, or self-host Appsmith with Docker or Kubernetes.
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。
AssemblyAI is a hosted speech-to-text API that transcribes audio and video files or live streams and adds speaker labels, sentiment, entity detection, PII redaction and LLM analysis of the transcript. Use when a user asks to transcribe a recording, label who said what, analyze call sentiment, redact personal data, stream live transcription, or summarize and question a transcript with LLM Gateway (the replacement for LeMUR).
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 algorithmic trading systems — backtesting, strategy development, live execution, and risk management. Use when tasks involve backtesting trading strategies, connecting to exchange APIs (Binance, Alpaca, Interactive Brokers), implementing technical indicators, portfolio optimization, order execution, risk management rules, market data processing, or building trading bots. Covers both crypto and traditional markets.
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 AI agent code safely in isolated sandboxes with resource limits, audit trails, and kill switches. Use when someone asks to "sandbox my agent", "run agent code safely", "add guardrails to AI agent", "isolate agent execution", "audit agent actions", "prevent agent from deleting files", "restrict agent permissions", or "add safety controls to AI coding agent". Covers Docker isolation, filesystem restrictions, network policies, resource locking, and comprehensive audit logging.
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。
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。
Performance optimization mindset - knowing when to optimize, how to measure, where bottlenecks hide, and when "fast enough" is the right answerUse when "slow, performance, optimize, profiling, benchmark, latency, throughput, cache, n+1, bottleneck, memory leak, too slow, speed up, response time, performance, optimization, profiling, caching, latency, throughput, big-o, benchmarking" 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。
Inngest expert for serverless-first background jobs, event-driven workflows, and durable execution without managing queues or workers. Use when "inngest, serverless background job, event-driven workflow, step function, durable execution, vercel background job, scheduled function, fan out, inngest, serverless, background-jobs, event-driven, workflows, step-functions, durable-execution, vercel, nextjs" 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。
Go is the language of infrastructure. From Docker to Kubernetes to the entire cloud-native ecosystem, Go powers the systems that run the internet. It's not about what you can build - it's about what you won't break at 3 AM. This skill covers idiomatic Go patterns, error handling, concurrency with goroutines and channels, HTTP servers, microservice architecture, and the standard library that makes Go so powerful. Key insight: Go's simplicity is a feature. Fight the urge to abstract. Embrace boring, readable code. 2025 lesson: The teams succeeding with Go are the ones who resist overengineering. A main.go with 500 lines beats a "clean architecture" with 50 packages. Use when "golang, go service, go microservice, goroutine, channels, go http, go api, go backend, gin, fiber, chi router, go concurrency, go, golang, microservices, backend, concurrency, goroutines, channels, http, api" 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。
Founders face unique challenges in how they work. Maker vs manager schedule conflicts. Default alive vs dead math. Time and money slowly leaking away. Effective founders develop systems for navigating these challenges. This skill synthesizes PG's essays on founder productivity and decision-making into an operating system for founder effectiveness. Use when "keywords, contexts, " 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 game UI design expertise combining the clarity of Nintendo's UI philosophy, the immersive diegetic interfaces of Dead Space and Metroid Prime, and the competitive readability principles from esports titles. Game UI is the invisible bridge between player intent and game response. Great game UI serves the player without breaking immersion. It communicates critical information at a glance during intense action, guides new players without patronizing veterans, and adapts gracefully from 4K monitors to handheld screens and from keyboard to touch to controller. The best game UI designers understand that every pixel of screen space is sacred - borrowed from the game world itself. Use when "game ui, game interface, hud design, heads up display, game menu, inventory ui, health bar, stamina bar, game hud, minimap, crosshair, reticle, button prompt, controller ui, gamepad navigation, diegetic interface, in-world ui, quest tracker, damage numbers, cooldown indicator, radial menu, game tooltip, game-ui, hud, game-interface, game-menu, controller-ui, diegetic, game-design, accessibility, console, mobile-games" 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。
Technical decision-making frameworks - trade-off evaluation, reversibility analysis, and second-order thinking for better engineering choicesUse when "should we, which is better, trade-off, decision, choose between, versus, pros and cons, what if we, is it worth, evaluate options, decisions, trade-offs, architecture, adr, reversibility, strategy, planning, risk" 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 DevOps engineering - cloud architecture, CI/CD pipelines, infrastructure as code, and the battle scars from keeping production running at 3amUse when "devops, infrastructure, deployment, ci/cd, docker, kubernetes, aws, gcp, azure, terraform, cloudflare, vercel, monitoring, alerting, pipeline, container, scaling, downtime, incident, sre, devops, infrastructure, cloud, ci-cd, monitoring, reliability, sre, containers" 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。
Designing tabletop games - from core mechanics to manufacturing, from prototyping to KickstarterUse when "board game, tabletop, card game, worker placement, deck building, area control, playtesting, rulebook, kickstarter game, game balance, asymmetric factions, euro game, ameritrash, party game, dice game, prototype, game publisher, crowdfunding game, board-games, tabletop, game-design, mechanics, playtesting, kickstarter, manufacturing, rulebook, components, balance, player-interaction" 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。
Expert patterns for Azure Functions development including isolated worker model, Durable Functions orchestration, cold start optimization, and production patterns. Covers .NET, Python, and Node.js programming models. Use when "azure function, azure functions, durable functions, azure serverless, function app, azure, serverless, functions, durable-functions, cloud" 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。
Apify Actorization workflow skill. Use this skill when the user needs Actorization converts existing software into reusable serverless applications compatible with the Apify platform. Actors are programs packaged as Docker images that accept well-defined JSON input, perform an action, and optionally produce structured JSON output and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
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。
Apify Actorization workflow skill. Use this skill when the user needs Actorization converts existing software into reusable serverless applications compatible with the Apify platform. Actors are programs packaged as Docker images that accept well-defined JSON input, perform an action, and optionally produce structured JSON output and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
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。
AgentFlow workflow skill. Use this skill when the user needs Orchestrate autonomous AI development pipelines through your Kanban board (Asana, GitHub Projects, Linear). Manages multi-worker Claude Code dispatch, deterministic quality gates, adversarial review, per-task cost tracking, and crash-proof pipeline execution and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
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。