「systems」の検索結果

Build a product colour system — tonal scales, semantic roles, and contrast compliance. Use when defining or rebuilding colour from scratch. For dark-mode adaptation use `dark-mode-design`; for chart palettes use `data-visualization`; for multi-brand token architecture use `theming-system` (design-systems).

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。

Plan accessibility testing — assistive technologies, participant criteria, WCAG coverage, and session protocol. Use when scheduling testing with real AT users. Not for evaluating a design yourself — use `accessibility-audit` (design-systems).

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。

Define an illustration style guide — visual language, colour usage, and application rules. Use when commissioning or standardising illustration. For icons, use `icon-system` (design-systems).

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 the implementation handoff — measurements, behaviours, assets, states, and edge cases. Use when engineering picks up the work. For verifying the result afterwards use `design-qa-checklist`; for reusable library components use `component-spec` (design-systems).

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 adoption strategy and enablement materials to drive design system usage. Use when the system exists but teams ignore it. For contribution and versioning rules, use `design-system-governance` (design-systems).

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。

Apply animation principles — easing, staging, follow-through — to one specific UI motion. Use when tuning how an animation feels. For product-wide duration and easing tokens use `motion-system` (design-systems); for a full interaction spec use `micro-interaction-spec`.

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。

Inventory and prioritise accumulated design inconsistencies across a product. Use when drift has built up over time. For token coverage specifically use `design-token-audit` (designer-toolkit); for WCAG gaps use `accessibility-audit` (design-systems).

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 token usage across a product for coverage, drift, and hard-coded values. Use when tokens exist and you suspect they are being bypassed. For defining tokens in the first place, use `design-token` (design-systems).

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。

Define version control for design files, components, and libraries — branching, naming, and release. Use when file history is chaotic. For design system contribution rules, use `design-system-governance` (design-systems).

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 AWS Resilience Hub v2 from scratch: creates resilience policies with SLO targets, registers systems and user journeys, onboards services with input sources, and runs a first failure mode assessment. Applies when the user wants to get started with Resilience Hub v2, create a policy, onboard a service, or run an assessment — including creating one concrete policy with specific availability/RTO/RPO targets and a DR approach for a single service (even a tier-1 one). Does not apply to FIS experiments or ARC routing controls.

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。

Selects, investigates, and compares AWS object, file, and block storage services, and answers cost, performance, configuration, security, and troubleshooting questions about storage services. Applies when a user asks where to store or archive data based on their usage patterns; which storage service to choose or how two compare; how to migrate data from on-premises or between AWS services; how to protect, replicate, or recover data; how to optimize storage costs; where to deploy shared NFS, SMB, or POSIX file systems; where to store vector embeddings or tabular data; what storage backs enterprise file shares, self-managed databases on EC2, VMware, or stateful containers; or asks what an AWS storage service can do or how it works. Relevant for storage needs for workloads such as AI/ML, analytics, EDA, HPC, media, genomics, or financial trading. Not applicable for SQL query engines (Athena, Spark, Redshift, EMR), ETL (Glue), streaming (Kafka, MSK, Kinesis), or managed database services (RDS, Aurora, DynamoDB).

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。

Provisions, scales, and operates Amazon EC2 virtual-machine workloads: instance-type selection (Graviton/Arm64, burstable T credits, GPU, instance store vs EBS), launch templates, Auto Scaling groups (scaling policies, instance refresh, mixed instances, Spot, warm pools, lifecycle hooks), IMDSv2, placement groups, Elastic IPs, AMI lifecycle, and Systems Manager fleet operations (Session Manager, Run Command, Patch Manager). Applies to EC2 instance and fleet questions, InsufficientInstanceCapacity, CPU-credit/surplus charges, IMDSv2 401s, instances stuck in Pending:Wait, ASG not replacing unhealthy instances, status-check failures, SSH refused/timed out, or instances missing as SSM managed nodes. For a single secure instance launch, the launching-ec2-instance-with-best-practices skill is more appropriate; for instance profiles, see setting-up-ec2-instance-profiles; for Image Builder, see amazon-ec2-image-builder. Does NOT cover Lambda, ECS/Fargate, EKS, VPC/ALB/NLB design, or IAM policy authoring.

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 Apollo.io reference architecture. Use when designing Apollo integrations, establishing patterns, or building production-grade sales intelligence systems. Trigger with phrases like "apollo architecture", "apollo system design", "apollo integration patterns", "apollo best practices architecture".

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。

Reference architecture for Apple Notes automation systems. Trigger: "apple notes architecture".

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 Claude tool use (function calling) workflows with the Messages API. Use when implementing tool use, function calling, agent loops, or building AI assistants that interact with external systems. Trigger with phrases like "claude tool use", "anthropic function calling", "claude tools", "agent loop anthropic", "tool_use blocks".

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 rate limiting for Anima API code generation requests. Use when batching component generation, handling rate limit errors, or optimizing API throughput for large design systems. Trigger with: "anima rate limit", "anima throttling", "anima batch generation".

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。

Aggregate and centralize performance metrics from applications, systems, databases, caches, and services. Use when consolidating monitoring data from multiple sources. Trigger with phrases like "aggregate metrics", "centralize monitoring", or "collect performance data".

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。

Optimize resumes for Applicant Tracking Systems, check ATS compatibility, and analyze keyword match

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 and evolve design systems with design tokens, component architecture, accessibility guidelines, and documentation templates. Ensures consistent, scalable, and accessible UI across products.

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。

Linux security mechanism bypass playbook. Use when facing restricted bash/rbash, read-only or noexec filesystems, AppArmor, SELinux, seccomp filters, or audit logging that must be evaded during post-exploitation.

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。

Linux privilege escalation playbook. Use when you have low-privilege shell access and need to escalate to root via SUID/SGID binaries, capabilities, cron abuse, kernel exploits, misconfigurations, or credential harvesting on Linux systems.

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。

Select, pair, and implement typefaces for web projects. Use when the user mentions "font pairing", "which typeface", "line height", "responsive typography", "web font loading", "type hierarchy", "variable fonts", "FOUT/FOIT", "typographic scale", or "the text is hard to read". Also trigger when choosing between system fonts and web fonts, optimizing font-loading performance, or designing readable long-form content. Covers readability evaluation, CSS implementation, and performance optimization. For overall UI design systems, see refactoring-ui. For dramatic typographic experiences, see top-design.

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 empowered product teams using discovery and delivery dual-track. Use when the user mentions "product discovery", "empowered teams", "feature factory", "opportunity assessment", "product vision", "product strategy", "what should we build", or "our roadmap is just a feature list". Also trigger when restructuring teams away from output-driven models, or deciding what to build next based on outcomes. Covers discovery techniques, team structure, opportunity assessment, vision/strategy, and continuous delivery. For customer interviews, see mom-test. For ongoing discovery systems, see continuous-discovery.

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Guided journey from an app idea to a deliberate architecture: boundaries, domain model, data decisions, and resilience, making only the expensive-to-reverse decisions and deferring the rest. Orchestrates eight skills phase by phase - clean-architecture, domain-driven-design, system-design, ddia-systems, software-design-philosophy, release-it, pragmatic-programmer, 37signals-way - asking the user questions at every decision point and recording results in the project docs/ folder (ARCHITECTURE.md, DESIGN-CODE-ARCHITECTURE-PLAN.md) so the journey resumes across sessions. Use when the user wants to design a new app's architecture, choose boundaries and a domain model, decide monolith versus microservices, or says 'how should I structure this app'. If a codebase already exists, use remove-technical-debt (aged), improve-code-quality (fresh prototype), or architecture-optimization (slow but working); if unvalidated, run create-business or create-app first. For one framework in isolation, invoke that skill directly.

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。